Öffentliches RegisterMittel
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-30 11:27 UTC
bytedance / xpu-perf
[HPCA 2026] AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware.
bytedance/xpu-perf erreicht einen Gesundheitsindex von 51 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Sustainability & Governance (69/100) ab, am schwächsten bei Security (16/100). Zuletzt vor 99 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.
51
gesamt / 100Software-Gesundheitsindex
Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.
51
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Eigentümerschaft
Bytedance Inc.Organisation
18.616 Follower414 öffentliche Reposseit Apr. 2013
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
41
Entwicklungsaktivität
33Gefährdet
Wie die Bewertung erfolgt
| 9.9/36 | Push-Aktualität — letzter Push vor 99 Tagen |
| 6.9/36 | Commit-Rhythmus — 10/52 Wochen mit Commits |
| 13.3/18 | Commit-Volumen — 29 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — keine Daten |
Verwendete Eingangsdaten
| commits_last_year | 29 |
| human_commit_share | 1 |
| days_since_last_push | 99 |
| active_weeks_last_year | 10 |
Release-Disziplin
52Mittel
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 1 Releases veröffentlicht |
| 7.2/36 | Release-Aktualität — letztes Release vor 703 Tagen |
| 12.6/27 | Release-Rhythmus — Rhythmus unbekannt (nur ein Release) |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 1 |
| latest_release_tag | v1.0.0 |
| releases_from_tags | nein |
| days_since_latest_release | 703 |
| mean_days_between_releases | — |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
67
Popularität & Verbreitung
65Mittel
Wie die Bewertung erfolgt
| 41.6/60 | Stars — 370 Stars |
| 17.6/25 | Forks — 130 Forks |
| 5.8/15 | Watcher — 12 Watcher |
Verwendete Eingangsdaten
| forks | 130 |
| stars | 370 |
| watchers | 12 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
70Gut
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (Apache-2.0) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
69
Wie die Bewertung erfolgt
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 13.9/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 38 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 15 Beitragende |
| 0/10 | OpenSSF Scorecard: Contributors — keine Daten |
Verwendete Eingangsdaten
| bus_factor | 2 |
| contributors_sampled | 15 |
| top_contributor_share | 0,382 |
Wie die Bewertung erfolgt
| 31.8/46.8 | Issue-Lösungsquote — 68 % der Issues geschlossen |
| 29.8/38.3 | PR-Annahme — 88/113 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — keine Daten |
Verwendete Eingangsdaten
| merged_prs | 88 |
| open_issues | 24 |
| closed_issues | 51 |
| issue_closed_ratio | 0,68 |
| closed_unmerged_prs | 25 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 25/25 | Reichweite des Inhabers — 18.616 Follower von bytedance |
| 25/25 | Kontohistorie — 414 öffentliche Repos, Kontoalter ca. 13 Jahre |
Verwendete Eingangsdaten
| followers | 18.616 |
| owner_type | Organization |
| is_verified | — |
| owner_login | bytedance |
| public_repos | 414 |
| account_age_days | 4.854 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
56
Engineering-Praktiken
50Mittel
Wie die Bewertung erfolgt
| 0/24 | CI-Workflows |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — .flake8, .pylintrc |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — keine Daten |
Verwendete Eingangsdaten
| has_ci | nein |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | nein |
Dokumentation
65Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://xpu-perf.ai/ |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 1 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | python |
| has_wiki | nein |
| homepage | https://xpu-perf.ai/ |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
16
Sicherheitslage
1Kritisch
Wie die Bewertung erfolgt
| 0/30 | Sicherheitsrichtlinie (SECURITY.md) |
| 0/25 | Dependabot-Konfiguration |
| 0/25 | Lockfiles für Abhängigkeiten |
| 0/20 | CodeQL-Workflow |
Verwendete Eingangsdaten
| source | file_signals |
| lockfiles | — |
| manifests | pyproject.toml |
| has_codeql_workflow | nein |
| has_security_policy | nein |
| has_dependabot_config | nein |
Wie die Bewertung erfolgt
| 20.2/35 | Direkte Abhängigkeiten ohne bekannte Advisories — 1 betroffen: numpy 1.19.2 (moderate 5.3) |
| 0/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar |
| 35.3/40 | Keine offenen Advisories — 1 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 1.685 Tagen veröffentlicht |
Verwendete Eingangsdaten
| source | osv |
| advisories | 1.854 |
| affected_packages | 18 |
| assessed_packages | 38 |
| unassessed_packages | 52 |
| affected_by_severity | critical 9, high 7, moderate 2 |
| direct_affected_packages | 1 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories. Die verbleibenden Gewichte wurden renormalisiert. 38 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 52 konnten nicht bewertet werden — keine aufgelöste Version, ein nicht unterstütztes Ökosystem oder außerhalb der ausgewiesenen Paketliste. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. Erreichbarkeit wird nicht analysiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
62
AI-Agentenkontext & Leitlinien
20Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 19.7/40 | Lesbare Commit-Historie — 37 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,37 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — .flake8, .pylintrc |
| 11/11 | Statische Typprüfung — projects/train_perf/Megatron-LM/mypy.ini |
| 10/10 | Reproduzierbare Umgebung — Dockerfile |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100 |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — keine Daten |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | ja |
| typed_language | nein |
| bootstrap_files | projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | projects/train_perf/Megatron-LM/mypy.ini |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (projects/train_perf/Megatron-LM/mypy.ini) |
| 54.4/55 | Handhabbare Dateigrößen — 8/757 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 132.791 |
| source_files_sampled | 757 |
| oversized_source_files | 8 |
Wie die Bewertung erfolgt
| 40/40 | API-Schema (OpenAPI/GraphQL/proto) — projects/infer_perf/llm_perf/server/server.proto |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples, recipes |
Verwendete Eingangsdaten
| example_dirs | examples, recipes |
| has_mcp_signal | nein |
| api_schema_files | projects/infer_perf/llm_perf/server/server.proto |
Eckdaten
370GitHub-Sterne
15Mitwirkende
29Commits, letzte 12 Monate
99Tage seit letztem Push
1Releases
2Bus-Faktor
24offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- Could not fetch pypi package 'xpu-perf' from its registry
- Advisory severity resolved for 120 of 731 advisories (lookup cap); the remainder are reported as unknown severity
- OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 130 ⇿
0Sterne
130Forks
1Releases
Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.
Major 1Minor 0Patch 0
Jeder Punkt umfasst 3 Tage.
Direkte Abhängigkeiten 5
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | prettytable | — | pyproject.toml |
| PyPI | jsonlines | — | pyproject.toml |
| PyPI | flask | — | pyproject.toml |
| PyPI | requests | — | pyproject.toml |
| PyPI | numpy | <=1.26.4 | pyproject.toml |
Alle Abhängigkeiten 90
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 8 direkte und 82 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | flask | — | direkt |
| PyPI | jsonlines | — | direkt |
| PyPI | numpy | — | direkt |
| PyPI | numpy | 1.19.2 | direkt |
| PyPI | numpy | 1.23.0 | direkt |
| PyPI | numpy | 1.23.4 | direkt |
| PyPI | prettytable | — | direkt |
| PyPI | requests | — | direkt |
| PyPI | accelerate | — | indirekt |
| PyPI | attrs | 21.2.0 | indirekt |
| PyPI | backoff | — | indirekt |
| PyPI | bert | — | indirekt |
| PyPI | bert-tensorflow | 1.0.1 | indirekt |
| PyPI | black | 23.1.0 | indirekt |
| PyPI | decorator | — | indirekt |
| PyPI | einops | — | indirekt |
| PyPI | flask-restful | — | indirekt |
| PyPI | fpdf | — | indirekt |
| PyPI | google-api-python-client | — | indirekt |
| PyPI | google-cloud-core | 2.3.2 | indirekt |
| PyPI | graphviz | 0.8.4 | indirekt |
| PyPI | grpcio | — | indirekt |
| PyPI | isort | — | indirekt |
| PyPI | keras2onnx | — | indirekt |
| PyPI | matplotlib | — | indirekt |
| PyPI | matplotlib | 3.3.4 | indirekt |
| PyPI | matplotlib | 3.4.2 | indirekt |
| PyPI | multipledispatch | — | indirekt |
| PyPI | mypy-protobuf | 2.8 | indirekt |
| PyPI | nltk | — | indirekt |
| PyPI | nvidia-modelopt | — | indirekt |
| PyPI | onnx | — | indirekt |
| PyPI | onnx | 1.12.0 | indirekt |
| PyPI | onnx | 1.13.1 | indirekt |
| PyPI | onnxconverter-common | 1.12.2 | indirekt |
| PyPI | onnxruntime | — | indirekt |
| PyPI | onnxruntime | 1.12.0 | indirekt |
| PyPI | opencv-python | — | indirekt |
| PyPI | opencv-python-headless | — | indirekt |
| PyPI | packaging | — | indirekt |
| PyPI | pandas | — | indirekt |
| PyPI | pandas | 1.3.3 | indirekt |
| PyPI | pandas | 1.5.1 | indirekt |
| PyPI | prompt-toolkit | — | indirekt |
| PyPI | protobuf | — | indirekt |
| PyPI | protobuf | 3.19.4 | indirekt |
| PyPI | protobuf | 3.19.6 | indirekt |
| PyPI | protobuf | 3.20.2 | indirekt |
| PyPI | psutil | — | indirekt |
| PyPI | pulp | — | indirekt |
| PyPI | pybind11 | — | indirekt |
| PyPI | pydot | — | indirekt |
| PyPI | pytest | — | indirekt |
| PyPI | pytest-cov | — | indirekt |
| PyPI | pytest-mock | — | indirekt |
| PyPI | pytest-random-order | — | indirekt |
| PyPI | pyyaml | — | indirekt |
| PyPI | scikit-learn | — | indirekt |
| PyPI | scipy | — | indirekt |
| PyPI | sentencepiece | — | indirekt |
| PyPI | sentencepiece | 0.1.96 | indirekt |
| PyPI | setuptools | 67.5 | indirekt |
| PyPI | synr | 0.4 | indirekt |
| PyPI | tensorflow | — | indirekt |
| PyPI | tensorflow | 1.15.0 | indirekt |
| PyPI | tensorflow | 2.4.0 | indirekt |
| PyPI | tensorflow | 2.7.2 | indirekt |
| PyPI | tensorflow | 2.8.4 | indirekt |
| PyPI | tensorflow-datasets | 4.7.0 | indirekt |
| PyPI | tensorstore | — | indirekt |
| PyPI | tf2onnx | — | indirekt |
| PyPI | tiktoken | — | indirekt |
| PyPI | tokenization | — | indirekt |
| PyPI | torch | — | indirekt |
| PyPI | torch | 1.12.1 | indirekt |
| PyPI | torch | 1.13.1 | indirekt |
| PyPI | torch | 1.9.1 | indirekt |
| PyPI | torchvision | — | indirekt |
| PyPI | torchvision | 0.10.1 | indirekt |
| PyPI | torchvision | 0.13.1 | indirekt |
| PyPI | tqdm | — | indirekt |
| PyPI | transformers | — | indirekt |
| PyPI | transformers | 4.40.0 | indirekt |
| PyPI | triton | 2.1.0 | indirekt |
| PyPI | typing-extensions | 3.7.4.3 | indirekt |
| PyPI | virtualenv | 16.7.9 | indirekt |
| PyPI | wandb | — | indirekt |
| PyPI | wrapt | — | indirekt |
| PyPI | wrapt | 1.14.1 | indirekt |
| PyPI | zarr | — | indirekt |
Abhängigkeits-Advisories 18
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 38 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 18 tragen bekannte Advisories, davon 1 direkte. 52 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| black | 23.1.0 | indirekt | kritisch | 5 | 26.3.1 |
| onnx | 1.12.0 | indirekt | kritisch | 24 | 1.22.0 |
| onnx | 1.13.1 | indirekt | kritisch | 22 | 1.22.0 |
| tensorflow | 1.15.0 | indirekt | kritisch | 745 | 2.11.1 |
| tensorflow | 2.4.0 | indirekt | kritisch | 760 | 2.11.1 |
| torch | 1.12.1 | indirekt | kritisch | 30 | 2.13.0 |
| torch | 1.13.1 | indirekt | kritisch | 28 | 2.13.0 |
| torch | 1.9.1 | indirekt | kritisch | 30 | 2.13.0 |
| transformers | 4.40.0 | indirekt | kritisch | 42 | 5.5.0 |
| protobuf | 3.19.4 | indirekt | hoch | 6 | 6.33.5 |
| protobuf | 3.19.6 | indirekt | hoch | 4 | 6.33.5 |
| protobuf | 3.20.2 | indirekt | hoch | 4 | 6.33.5 |
| sentencepiece | 0.1.96 | indirekt | hoch | 2 | 0.2.1 |
| setuptools | 67.5 | indirekt | hoch | 6 | 83.0.0 |
| tensorflow | 2.7.2 | indirekt | hoch | 94 | 2.11.1 |
| tensorflow | 2.8.4 | indirekt | hoch | 46 | 2.11.1 |
| numpy | 1.19.2 | direkt | mittel | 2 | 1.22 |
| virtualenv | 16.7.9 | indirekt | mittel | 4 | 20.36.1 |
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
{
"data": {
"repo": {
"topics": [
"python"
],
"is_fork": false,
"size_kb": 22651,
"has_wiki": false,
"homepage": "https://xpu-perf.ai/",
"languages": {
"C": 2951,
"C++": 29611,
"HTML": 2625,
"Shell": 149472,
"Python": 6137745,
"Makefile": 313,
"Dockerfile": 2631
},
"pushed_at": "2026-04-22T07:31:12Z",
"created_at": "2023-04-12T03:55:01Z",
"owner_type": "Organization",
"updated_at": "2026-07-30T09:20:05Z",
"description": "[HPCA 2026] AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware.",
"is_archived": false,
"is_disabled": false,
"license_spdx": "Apache-2.0",
"default_branch": "main",
"license_spdx_raw": "Apache-2.0",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://opensource.bytedance.com",
"name": "Bytedance Inc.",
"type": "Organization",
"login": "bytedance",
"company": null,
"location": "Singapore",
"followers": 18616,
"avatar_url": "https://avatars.githubusercontent.com/u/4158466?v=4",
"created_at": "2013-04-15T08:03:53Z",
"is_verified": null,
"public_repos": 414,
"account_age_days": 4854
},
"license": {
"state": "standard",
"spdx_id": "Apache-2.0",
"raw_spdx": "Apache-2.0",
"file_present": true,
"scorecard_found": null,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "v1.0.0",
"kind": "major",
"published_at": "2024-08-26T03:56:50Z"
}
],
"recent_commits": [
{
"oid": "71a12101509635421d02c3d28c9202951ded7745",
"body": null,
"is_bot": false,
"headline": "fix gpu vendor ops def. (#193)",
"author_name": "suisiyuan",
"author_login": "suisiyuan",
"committed_at": "2026-04-22T07:31:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "57b31ff244bdd933c43558befee241640b3dcef0",
"body": "Updated the command to start the micro_perf server in the README.",
"is_bot": false,
"headline": "Change launch command from launch.py to server.py",
"author_name": "suisiyuan",
"author_login": "suisiyuan",
"committed_at": "2026-04-21T18:03:56Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5b3b7dc8329fd769c734ff44ec777c81ca90e7ba",
"body": null,
"is_bot": false,
"headline": "Update links for operator definitions in README.md",
"author_name": "suisiyuan",
"author_login": "suisiyuan",
"committed_at": "2026-04-21T18:02:14Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fc5d485f7287bdee43b00d69f7e60450fd97123c",
"body": "merge from internal.",
"is_bot": false,
"headline": "Merge pull request #192 from bytedance/merge_from_internal",
"author_name": "suisiyuan",
"author_login": "suisiyuan",
"committed_at": "2026-04-21T17:51:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b19cb27d1f0a78fc680fe21e3ad63ad81ed8c968",
"body": null,
"is_bot": false,
"headline": "merge from internal.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-04-21T17:50:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c5685430e973823408fc76da9b2b1d602f66ab71",
"body": null,
"is_bot": false,
"headline": "Update CONTRIBUTING.md",
"author_name": "Minghui-BD",
"author_login": "Minghui-BD",
"committed_at": "2026-04-20T14:53:21Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e374fe9f71e8b94bd5a68c933b2c75a9003f9740",
"body": null,
"is_bot": false,
"headline": "Clear device name mapping dictionary",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-03-20T08:30:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "28b7dda82b0cdf21dd51e2f69377c929b45f3e61",
"body": "merge from internal.",
"is_bot": false,
"headline": "Merge pull request #186 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-03-18T12:19:32Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c690c6b2f57f071a97e530f1deced84ed827056e",
"body": null,
"is_bot": false,
"headline": "merge from internal.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-03-18T12:16:21Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "bf84a4b1d7d9502d75ad239c07bc2a59269238db",
"body": "add server mode for micro_perf.",
"is_bot": false,
"headline": "Merge pull request #182 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-02-25T07:06:39Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b6e6dfc6d317bb189142891f0712fc93af242ce4",
"body": null,
"is_bot": false,
"headline": "add server mode for micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-02-12T08:22:47Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d613b3f1025e4e44e4cd83cc3111bc1ba1f6b0ae",
"body": "fix some bugs.",
"is_bot": false,
"headline": "Merge pull request #181 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-02-10T08:39:44Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a9b443c2fdad1a2f5aac07bb29cff86d93d8870b",
"body": null,
"is_bot": false,
"headline": "fix some bugs.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-02-10T08:36:53Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "547b3d51288141fab55079cb2bdc98b874e679d2",
"body": "fix llm ops bug.",
"is_bot": false,
"headline": "Merge pull request #177 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-19T10:17:55Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4bfb65a451c5d80068fbb3aa64619cd62d632bdb",
"body": null,
"is_bot": false,
"headline": "fix llm ops bug.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-19T10:15:06Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4d8a74c3e0883989a91d2791f5ac7164a1558c65",
"body": "fix some bugs.",
"is_bot": false,
"headline": "Merge pull request #176 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-15T06:13:36Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d7445078ae6679e058672d1c15b70c27ed751210",
"body": null,
"is_bot": false,
"headline": "fix some bugs.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-15T06:12:44Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "83a657cff15404d394d3fffb7bbffa2a99cece5f",
"body": "fix bugs, add some ops.",
"is_bot": false,
"headline": "Merge pull request #175 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-15T03:40:21Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "175473ce0ba5113b9372ee423bb799f0cac4a3b9",
"body": null,
"is_bot": false,
"headline": "fix bugs, add some ops.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-15T03:39:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ba6aaad4e948cfe8d07819b9e451fa35a575320a",
"body": "fix launch script bug.",
"is_bot": false,
"headline": "Merge pull request #174 from bytedance/merge_from_internal",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-12T09:39:32Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "555b3b0efdd7a27ecbb4d34b160fad0d229a007f",
"body": null,
"is_bot": false,
"headline": "fix launch script bug.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-12T09:37:56Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b8c8855e400e08fe9ba6091f0ef82dfdf98724d1",
"body": null,
"is_bot": false,
"headline": "merge from internal. (#173)",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2026-01-12T08:55:55Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a30b4f97b174c1f542d601573686524950ef190f",
"body": "Training v0.1， 两机，四机训练合入。",
"is_bot": false,
"headline": "Merge pull request #140 from bytedance/training_v0.1",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-08-18T13:08:37Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ba98b673279ffedb8c89efa70afdcec03a29d9c7",
"body": null,
"is_bot": false,
"headline": "update readme",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-08-18T12:42:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "aece3ddc229d9018fab2eea2a530a5ed8d4e0bff",
"body": null,
"is_bot": false,
"headline": "update readme",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-08-18T12:37:21Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "65eb4cd95983d59d6dca764624476be85fffe228",
"body": null,
"is_bot": false,
"headline": "clean files",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-08-18T12:33:27Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e308fa091a914e19d8c9bcf4f5413606d8e590d2",
"body": null,
"is_bot": false,
"headline": "finish llm ops definitions.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-08-06T07:29:57Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "45323b37876f2db8000632d56ed8191a8152010c",
"body": null,
"is_bot": false,
"headline": "remove redundant workloads files.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-08-05T08:30:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "abcdd6d26834fccfc095904b65cae4bbd1cd9393",
"body": null,
"is_bot": false,
"headline": "add latest llm_ops definitions.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-08-04T06:46:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ff75344d46814584f83d169a243a81e44c97e939",
"body": null,
"is_bot": false,
"headline": "merge from internal.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-06-27T09:37:57Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6657aac1f126323604e3a0876d8c6d7873a7a04b",
"body": null,
"is_bot": false,
"headline": "cleaning",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-05-17T11:13:47Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cb805174393f8742b74eaccb55fabf8d29476ddb",
"body": null,
"is_bot": false,
"headline": "updte to align with 2/4 node training",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-05-17T11:09:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a49963b65f75aa8aec77e8f8d17cd0c186ec7e3d",
"body": null,
"is_bot": false,
"headline": "two node/4 node training",
"author_name": "HunterHantao",
"author_login": "HunterHantao",
"committed_at": "2025-05-17T11:07:26Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3bda2e7776e2acd99aa552af97370cb9418ec0d6",
"body": null,
"is_bot": false,
"headline": "optimize micro_perf test process.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-04-18T06:29:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "84a1325f981bbd2887a62a3490b12e7e73800172",
"body": null,
"is_bot": false,
"headline": "add new version for micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-03-24T09:03:26Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3e8ad7f1e57d198537f80e54de36f22d3730ad8a",
"body": null,
"is_bot": false,
"headline": "diable jit",
"author_name": "Huang Hantao",
"author_login": "HunterHantao",
"committed_at": "2025-03-12T09:37:27Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c3272f86a68ef76e6b74cf22aa1a12359bf9d2ab",
"body": null,
"is_bot": false,
"headline": "resume training",
"author_name": "Huang Hantao",
"author_login": "HunterHantao",
"committed_at": "2025-03-12T09:36:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "80d653a2df965a804da0d199bdb4e8d74168434d",
"body": null,
"is_bot": false,
"headline": "init support for single machine training",
"author_name": "Huang Hantao",
"author_login": "HunterHantao",
"committed_at": "2025-02-11T06:40:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ec6aeafffe777d4ebfe365fe7732cc0bd37256c0",
"body": "remove virtualenv, use numa_balance, parallel at default.",
"is_bot": false,
"headline": "Merge pull request #128 from bytedance/jzs/dev",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2025-01-06T10:06:48Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "01230e0a327b9e205ec7a2d4c73967c2decca155",
"body": null,
"is_bot": false,
"headline": "sset max_group_size to 16.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-29T19:08:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "68e7fade8e4ac6aa1532ebe2969a264c58f41537",
"body": null,
"is_bot": false,
"headline": "optimize numa, parallel related logic.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-29T14:44:10Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b84c806264f68d78fdee48344472707987fa00ed",
"body": "support specify numa node mode or numa balance mode; remove cuusing d…",
"is_bot": false,
"headline": "Merge pull request #127 from bytedance/jzs/dev",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-12-27T03:43:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1efca1270d0f1bd39917d24b6016b3456bb85443",
"body": "…a device in babase ckend declass.",
"is_bot": false,
"headline": "support specify numa node mode or numa balance mode; remove cuusing d…",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-24T13:21:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "668d2c52adfe2d11a13bb0c9af729f8f3f743283",
"body": "add numa_balance feature support.",
"is_bot": false,
"headline": "Merge pull request #126 from bytedance/jzs/dev",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-12-24T09:02:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8415ab6cf50df6d11b7abadd7a14ebbe374086d6",
"body": null,
"is_bot": false,
"headline": "remove world_size checker in __del__ function of backend class.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-24T08:53:15Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5ca4fcd6fef15080c8ed399baed9bfb93658b036",
"body": null,
"is_bot": false,
"headline": "add numa_balance feature; optimize h2d_ops/ccl_ops test process.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-24T08:36:14Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0f74e532176a648e479e6b41323f4d44643c2f57",
"body": "use instance = 1 when group_size = 1 for host2device / device2host ops.",
"is_bot": false,
"headline": "Merge pull request #125 from bytedance/jzs/dev",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-12-12T14:47:42Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fd7df9d20e4a690cce919dab6199a7248d045c5f",
"body": null,
"is_bot": false,
"headline": "use instance = 1 when group_size = 1 for host2device / device2host ops.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-12T14:43:37Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "dac895cd60a1f6b1dad6649dfe0dc92622df5637",
"body": "Code changes in micro_perf and llm_perf.",
"is_bot": false,
"headline": "Merge pull request #124 from bytedance/jzs/dev",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-12-12T13:26:57Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a0bcb6ef25cf90d98ca95d8ad42894695062984b",
"body": "…e ops; add support concurrent test for host2device/device2host ops; use cuda event to measure test duration.",
"is_bot": false,
"headline": "fix all_gather / reduce_scatter ops; add hash_table/topk/device2devic…",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-12-12T13:16:27Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "85e7840d1237a3edc17d37410ee5e685c7af67c5",
"body": "add llm_perf doc.",
"is_bot": false,
"headline": "Merge pull request #122 from bytedance/fix_llm_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-11-19T14:10:40Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "801f99b154e44b857c67da3ecca3f1745dc2ad0b",
"body": null,
"is_bot": false,
"headline": "add llm_perf doc.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-11-19T14:07:14Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a0faed3d52fe07ca89842a8a38ae5a3df4c8d594",
"body": "[llm_perf] add tensorrt-llm benchmark script.",
"is_bot": false,
"headline": "Merge pull request #111 from bytedance/fix_llm_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-10-10T12:05:48Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "283aa5de2dcd370c07bc35bb1089ce0f5c12d480",
"body": null,
"is_bot": false,
"headline": "add tensorrt-llm benchmark script.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-10-10T12:03:50Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "94b142b7e8d8758e19c723baf0ba49615ba1dfae",
"body": "[micro_perf] add barrier to avoid hang.",
"is_bot": false,
"headline": "Merge pull request #110 from bytedance/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-10-07T18:41:49Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "13d8b000c62cd26e3620863147d9d3e882bdd13f",
"body": null,
"is_bot": false,
"headline": "add barrier to avoid hang.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-10-07T18:41:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "26e28b177f1f419a18df2c1487220d7860c25911",
"body": "[micro_perf] optimize code structure.",
"is_bot": false,
"headline": "Merge pull request #109 from bytedance/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-10-07T16:20:27Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8a0abb8922cf4922e4266058b11c51b8315f9418",
"body": null,
"is_bot": false,
"headline": "remove all_gather_objectapi, and use queue instead.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-10-07T16:18:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "10df700a31f2d7118e0a6ba8e5f0cf8b5a81d8c2",
"body": null,
"is_bot": false,
"headline": "[micro_perf] print report info during test.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-10-01T09:05:35Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c4b3f70307daff875eaed6e9e0e62a2efe71699d",
"body": null,
"is_bot": false,
"headline": "[micro_perf] rename half to float16, reduce ccl ops test cases num.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-10-01T07:13:31Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "95d6053f8cfe6da595791a206e219e28aa0ea9eb",
"body": null,
"is_bot": false,
"headline": "optimize code structure for micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-09-30T11:33:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "bfb03e65ceb10d19ac56ac674b759dcc7b7a3d22",
"body": "[micro_perf] fix log and sqrt in gpu backend.",
"is_bot": false,
"headline": "Merge pull request #108 from bytedance/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-09-27T12:23:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6b1d53174324f80cf7daa393eb09ccbb9d8a635a",
"body": null,
"is_bot": false,
"headline": "[micro_perf] fix log and sqrt in gpu backend.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-09-27T12:22:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c3d23ad450ceb38cc5ecd3502ba760d563c81c51",
"body": "[micro perf]: add log and sqrt op",
"is_bot": false,
"headline": "Merge pull request #102 from bytedance/gyj/add_log_sqrt_op",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-09-25T08:49:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1113caaa45cfcf2e7c809260d9580bf3ffc36495",
"body": "add single_query and bench_model scripts to debug and perf llm models.",
"is_bot": false,
"headline": "Merge pull request #105 from bytedance/jzs/fix_llm_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-09-25T08:48:37Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "15299f9c1d2e97cd32fd5e1badc3481966f28f4f",
"body": null,
"is_bot": false,
"headline": "modify batch_gemm workload.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-09-25T08:47:51Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "eecda36b84948e89b75b48fef967fe1f0021631c",
"body": null,
"is_bot": false,
"headline": "fix bench_model.py.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-09-25T08:43:36Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "06731a009e47a7be9eeceef92f380981b7a96510",
"body": null,
"is_bot": false,
"headline": "remove amd backend; optimize code structure, improve robustness.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-09-25T03:52:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cb2639c28eb94a52a204c98879a605103aa3b74b",
"body": null,
"is_bot": false,
"headline": "add single_query and bench_model scripts to debug and perf llm models.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-09-18T08:28:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c5d85fe0a22f4144131abbca054e625f7cdefca6",
"body": "[micro_perf] use less memory to avoid using L2 Cache; fix bugs",
"is_bot": false,
"headline": "Merge pull request #103 from bytedance/jzs/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T19:09:30Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8f5ae7cdad6cc413c1d24f2aba745e5f1ffe9dd6",
"body": "… host2device bug.",
"is_bot": false,
"headline": "[micro_perf] use less memory to avoid using L2 Cache; fix device2host…",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T19:07:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "16093a1e6e057f4b1e2bc6ca0bffff2802834018",
"body": null,
"is_bot": false,
"headline": "[micro perf]: add log and sqrt op",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T07:54:42Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "22e9b39055b815703f1519b6c89980b84b22f32b",
"body": "[micro_perf] bug_fix, mkdir reports in launch.py.",
"is_bot": false,
"headline": "Merge pull request #101 from bytedance/jzs/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T06:17:50Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0eb1cb25f12087dc401552577f37c1c1d7826ed1",
"body": null,
"is_bot": false,
"headline": "[micro_perf] bug_fix, mkdir reports in launch.py.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T06:16:34Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0db9b2cb628b3189e2e43024a18cc0fad7a86b18",
"body": "[micro_perf] add run log; add process management; fix ops",
"is_bot": false,
"headline": "Merge pull request #100 from bytedance/jzs/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T03:35:45Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "246af7afbb1129f768cb0a36f37c800129718e9d",
"body": "…t/host2device.",
"is_bot": false,
"headline": "[micro_perf] add run log; add process management; fix ops: device2hos…",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-29T03:08:37Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "04a01d09489c37a06fbc3d47777389d247487d7a",
"body": "provide reports convert script for micro_perf.",
"is_bot": false,
"headline": "Merge pull request #99 from bytedance/jzs/add_convert_script",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-27T12:54:51Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "71234f5825a0a6d711befe68b5699e8d5e64a808",
"body": null,
"is_bot": false,
"headline": "provide reports convert script.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-27T12:48:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7c49815c5a1908a7e40d00780954547316fcb1a7",
"body": "Add Version and Execution Date info to reports",
"is_bot": false,
"headline": "Merge pull request #98 from bytedance/gyj/add_version",
"author_name": "gaoyujia",
"author_login": "YJessicaGao",
"committed_at": "2024-08-26T03:23:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "babd3aaeb0265d0003d3807851d3add5a9aa0caf",
"body": null,
"is_bot": false,
"headline": "Add Version and Execution Date info to reports",
"author_name": "gaoyujia.01",
"author_login": "jessicagao01",
"committed_at": "2024-08-23T10:03:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b5ac6197f93945ccc22dbb37ee7f63af3b7d2638",
"body": "add barrier for ccl ops in micro_perf.",
"is_bot": false,
"headline": "Merge pull request #97 from bytedance/add_barrier_to_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-23T06:58:18Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2a49ac9f39f6ab59e6e1666d57b35ffdc41e9053",
"body": null,
"is_bot": false,
"headline": "add barrier for ccl ops in micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-23T06:56:20Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "572c388d9005286e0876187fbb719c3fa9d813d3",
"body": "support AMD backend for micro_perf.",
"is_bot": false,
"headline": "Merge pull request #96 from bytedance/add_amd_backend",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-23T06:32:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "76cfd5f6b8d2e11a4f05f082c1a0b4e0a1934eb6",
"body": null,
"is_bot": false,
"headline": "support AMD backend for micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-23T06:28:30Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3b3ea9dadcc30efdc1cdc6f98b3bb59c6c6dd795",
"body": "accelerate micro_perf test",
"is_bot": false,
"headline": "Merge pull request #95 from bytedance/jzs/accelerate_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-23T03:51:45Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8732c821b2d67c226265fd51bc5b0c5fd225bd81",
"body": "…s in micro_perf.",
"is_bot": false,
"headline": "support task schedule in micro_perf, ; support dynamic perf iteration…",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-23T03:50:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "aca559b1693e3c0f02c5f6cf26401440d95944fa",
"body": "support multi-card perf for micro_perf.",
"is_bot": false,
"headline": "Merge pull request #94 from bytedance/jzs/support_multi_card_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-22T07:37:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fbe99adc4d97cd60b6b89822380ad66135a6c3e7",
"body": null,
"is_bot": false,
"headline": "support multi-card perf for micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-22T07:31:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9e4c3c7078dcb5e73c95d96027aad983eae60a9e",
"body": "[micro_perf] fix parsing logic of group gemm",
"is_bot": false,
"headline": "Merge pull request #92 from bytedance/xuzhenglin/fix_gemm",
"author_name": "gaoyujia",
"author_login": "YJessicaGao",
"committed_at": "2024-08-19T11:06:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "69efe7985d248ff2967edff0f814ff8e78f7a0b9",
"body": null,
"is_bot": false,
"headline": "[micro_perf] fix parsing logic of group gemm",
"author_name": "kevinsouthByteDance",
"author_login": "kevinsouthByteDance",
"committed_at": "2024-08-19T11:03:56Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fe25adea9fc89bb695748159e010bbc1759c7afc",
"body": "Fix gemm: fix workloads of batch/group gemm; add task_dir in perf_engine; multiply qps with 1000",
"is_bot": false,
"headline": "Merge pull request #91 from bytedance/xuzhenglin/fix_gemm",
"author_name": "gaoyujia",
"author_login": "YJessicaGao",
"committed_at": "2024-08-19T08:01:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "da12e241c79933cf60b272c11d6baad58ad89408",
"body": null,
"is_bot": false,
"headline": "[micro_perf] fix the qps to 1e6",
"author_name": "kevinsouthByteDance",
"author_login": "kevinsouthByteDance",
"committed_at": "2024-08-19T06:43:36Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "51906ddef5f6c204cf74daf3d43a6ce57213d4ab",
"body": null,
"is_bot": false,
"headline": "[micro_perf] add task_dir in perf_engine; multiply qps with 1000",
"author_name": "kevinsouthByteDance",
"author_login": "kevinsouthByteDance",
"committed_at": "2024-08-19T06:32:25Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b77154377f13a9c1746eecb83595edb1610dc9cb",
"body": "…rsing logic of group_gemm",
"is_bot": false,
"headline": "[micro_perf] change gemm, batch_gemm, group_gemm shape, change the pa…",
"author_name": "kevinsouthByteDance",
"author_login": "kevinsouthByteDance",
"committed_at": "2024-08-19T04:04:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b028576f80630d1c38703faf21f8cde945b0deae",
"body": "fix micro perf launch logic, fix scatter and gather index tensor.",
"is_bot": false,
"headline": "Merge pull request #89 from bytedance/jzs/fix_micro_perf",
"author_name": "Zishan Jiang",
"author_login": "suisiyuan",
"committed_at": "2024-08-15T10:00:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "23a1e58bdc14a561ef7e60551d154641389cedf7",
"body": null,
"is_bot": false,
"headline": "modify launch argparse for micro_perf.",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-08T10:42:16Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "003ac5264bcc7ebe950c4996039adcf2c4537b2c",
"body": "…seless memory.",
"is_bot": false,
"headline": "fix scatter and gatherops, use expand instead of cat to avoid alloc u…",
"author_name": "jiangzishan",
"author_login": "suisiyuan",
"committed_at": "2024-08-08T07:15:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2636150d769df7bc46062f0c7cc2f36899fd4ec2",
"body": "fix falcon; add scatter, gather to micro_perf",
"is_bot": false,
"headline": "Merge pull request #88 from bytedance/jzs/fix_llm_perf",
"author_name": "gaoyujia",
"author_login": "YJessicaGao",
"committed_at": "2024-07-29T06:41:21Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9adb4ec1c6656d4f1b956cc1f43bd4dc27a2aad7",
"body": null,
"is_bot": false,
"headline": "Update perf_engine.py",
"author_name": "gaoyujia",
"author_login": "YJessicaGao",
"committed_at": "2024-07-29T06:39:40Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2b6622dd3cc74e7c5050e18e6dec74ba21101433",
"body": null,
"is_bot": false,
"headline": "Update endpoint.py",
"author_name": "gaoyujia",
"author_login": "YJessicaGao",
"committed_at": "2024-07-29T06:38:56Z",
"body_truncated": false,
"is_coding_agent": false
}
],
"releases_count": 1,
"commits_last_year": 29,
"latest_release_at": "2024-08-26T03:56:50Z",
"latest_release_tag": "v1.0.0",
"releases_from_tags": false,
"days_since_last_push": 99,
"active_weeks_last_year": 10,
"days_since_latest_release": 703,
"mean_days_between_releases": null
},
"community": {
"has_readme": true,
"has_license": true,
"has_description": true,
"has_contributing": true,
"health_percentage": 50,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"ecosystem": {
"packages": []
},
"popularity": {
"forks": 130,
"stars": 370,
"watchers": 12,
"fork_history": {
"days": [
{
"date": "2023-04-23",
"count": 1
},
{
"date": "2023-04-28",
"count": 1
},
{
"date": "2023-05-11",
"count": 1
},
{
"date": "2023-05-15",
"count": 1
},
{
"date": "2023-05-23",
"count": 5
},
{
"date": "2023-06-15",
"count": 1
},
{
"date": "2023-06-20",
"count": 1
},
{
"date": "2023-06-30",
"count": 1
},
{
"date": "2023-07-24",
"count": 1
},
{
"date": "2023-08-01",
"count": 1
},
{
"date": "2023-08-22",
"count": 1
},
{
"date": "2023-08-31",
"count": 1
},
{
"date": "2023-09-06",
"count": 1
},
{
"date": "2023-09-20",
"count": 1
},
{
"date": "2023-10-16",
"count": 1
},
{
"date": "2023-10-17",
"count": 1
},
{
"date": "2023-11-09",
"count": 1
},
{
"date": "2023-11-20",
"count": 1
},
{
"date": "2024-01-01",
"count": 1
},
{
"date": "2024-03-24",
"count": 1
},
{
"date": "2024-03-26",
"count": 1
},
{
"date": "2024-04-19",
"count": 1
},
{
"date": "2024-05-10",
"count": 1
},
{
"date": "2024-05-11",
"count": 1
},
{
"date": "2024-05-23",
"count": 1
},
{
"date": "2024-06-03",
"count": 1
},
{
"date": "2024-06-23",
"count": 1
},
{
"date": "2024-07-01",
"count": 1
},
{
"date": "2024-07-18",
"count": 1
},
{
"date": "2024-08-16",
"count": 1
},
{
"date": "2024-08-19",
"count": 1
},
{
"date": "2024-08-20",
"count": 1
},
{
"date": "2024-08-24",
"count": 1
},
{
"date": "2024-08-26",
"count": 1
},
{
"date": "2024-09-12",
"count": 1
},
{
"date": "2024-09-25",
"count": 2
},
{
"date": "2024-10-20",
"count": 2
},
{
"date": "2024-10-23",
"count": 1
},
{
"date": "2024-10-25",
"count": 1
},
{
"date": "2024-11-15",
"count": 1
},
{
"date": "2024-11-19",
"count": 1
},
{
"date": "2024-12-16",
"count": 1
},
{
"date": "2024-12-18",
"count": 1
},
{
"date": "2024-12-27",
"count": 1
},
{
"date": "2024-12-30",
"count": 1
},
{
"date": "2025-01-01",
"count": 1
},
{
"date": "2025-01-13",
"count": 1
},
{
"date": "2025-03-04",
"count": 1
},
{
"date": "2025-03-06",
"count": 1
},
{
"date": "2025-03-25",
"count": 1
},
{
"date": "2025-04-10",
"count": 1
},
{
"date": "2025-05-24",
"count": 1
},
{
"date": "2025-06-17",
"count": 1
},
{
"date": "2025-06-19",
"count": 1
},
{
"date": "2025-06-27",
"count": 1
},
{
"date": "2025-07-01",
"count": 1
},
{
"date": "2025-07-15",
"count": 1
},
{
"date": "2025-07-25",
"count": 1
},
{
"date": "2025-08-05",
"count": 1
},
{
"date": "2025-08-12",
"count": 2
},
{
"date": "2025-08-19",
"count": 1
},
{
"date": "2025-09-03",
"count": 1
},
{
"date": "2025-09-08",
"count": 1
},
{
"date": "2025-09-12",
"count": 1
},
{
"date": "2025-09-15",
"count": 1
},
{
"date": "2025-10-13",
"count": 1
},
{
"date": "2025-12-16",
"count": 1
},
{
"date": "2025-12-26",
"count": 1
},
{
"date": "2026-01-06",
"count": 1
},
{
"date": "2026-01-13",
"count": 1
},
{
"date": "2026-02-25",
"count": 1
},
{
"date": "2026-03-02",
"count": 2
},
{
"date": "2026-03-10",
"count": 1
},
{
"date": "2026-03-17",
"count": 1
},
{
"date": "2026-03-18",
"count": 2
},
{
"date": "2026-03-20",
"count": 1
},
{
"date": "2026-03-23",
"count": 1
},
{
"date": "2026-03-31",
"count": 1
},
{
"date": "2026-04-01",
"count": 1
},
{
"date": "2026-04-02",
"count": 1
},
{
"date": "2026-04-10",
"count": 1
},
{
"date": "2026-04-15",
"count": 1
},
{
"date": "2026-04-16",
"count": 1
},
{
"date": "2026-04-17",
"count": 1
},
{
"date": "2026-04-22",
"count": 1
},
{
"date": "2026-04-28",
"count": 1
},
{
"date": "2026-05-06",
"count": 1
},
{
"date": "2026-05-07",
"count": 1
},
{
"date": "2026-06-05",
"count": 1
},
{
"date": "2026-06-10",
"count": 1
},
{
"date": "2026-06-11",
"count": 1
},
{
"date": "2026-06-15",
"count": 1
},
{
"date": "2026-06-18",
"count": 1
},
{
"date": "2026-06-30",
"count": 1
},
{
"date": "2026-07-17",
"count": 1
}
],
"complete": true,
"collected": 104,
"total_forks": 130
},
"star_history": null,
"open_issues_and_prs": 38
},
"ai_readiness": {
"has_nix": false,
"example_dirs": [
"examples",
"recipes"
],
"has_llms_txt": false,
"has_dockerfile": true,
"has_mcp_signal": false,
"bootstrap_files": [
"projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile"
],
"api_schema_files": [
"projects/infer_perf/llm_perf/server/server.proto"
],
"has_devcontainer": false,
"typecheck_configs": [
"projects/train_perf/Megatron-LM/mypy.ini"
],
"toolchain_manifests": [],
"largest_source_bytes": 132791,
"source_files_sampled": 757,
"oversized_source_files": 8,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"dependencies": {
"manifests": [
"pyproject.toml"
],
"advisories": {
"error": null,
"scope": "repository_graph",
"source": "osv",
"findings": [
{
"name": "black",
"direct": false,
"version": "23.1.0",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.8,
"advisory_ids": [
"GHSA-3936-cmfr-pm3m",
"GHSA-fj7x-q9j7-g6q6",
"PYSEC-2024-48",
"PYSEC-2026-2120",
"PYSEC-2026-2121"
],
"fixed_version": "26.3.1",
"advisory_count": 5,
"oldest_advisory_days": 863
},
{
"name": "onnx",
"direct": false,
"version": "1.12.0",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.1,
"advisory_ids": [
"GHSA-3r9x-f23j-gc73",
"GHSA-538c-55jv-c5g9",
"GHSA-6rq9-53c3-f7vj",
"GHSA-cmw6-hcpp-c6jp",
"GHSA-ffxj-547x-5j7c",
"GHSA-h36j-8vv3-cj52",
"GHSA-h8wv-9h96-m4hr",
"GHSA-hqmj-h5c6-369m",
"GHSA-hwpq-hmq9-wj77",
"GHSA-p433-9wv8-28xj"
],
"fixed_version": "1.22.0",
"advisory_count": 24,
"oldest_advisory_days": 1280
},
{
"name": "onnx",
"direct": false,
"version": "1.13.1",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.1,
"advisory_ids": [
"GHSA-3r9x-f23j-gc73",
"GHSA-538c-55jv-c5g9",
"GHSA-6rq9-53c3-f7vj",
"GHSA-cmw6-hcpp-c6jp",
"GHSA-h36j-8vv3-cj52",
"GHSA-h8wv-9h96-m4hr",
"GHSA-hqmj-h5c6-369m",
"GHSA-hwpq-hmq9-wj77",
"GHSA-p433-9wv8-28xj",
"GHSA-p893-rvq9-2xf9"
],
"fixed_version": "1.22.0",
"advisory_count": 22,
"oldest_advisory_days": 887
},
{
"name": "tensorflow",
"direct": false,
"version": "1.15.0",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.3,
"advisory_ids": [
"GHSA-23hm-7w47-xw72",
"GHSA-2475-53vw-vp25",
"GHSA-247x-2f9f-5wp7",
"GHSA-24x4-6qmh-88qg",
"GHSA-24x6-8c7m-hv3f",
"GHSA-26j7-6w8w-7922",
"GHSA-278g-rq84-9hmg",
"GHSA-27j5-4p9v-pp67",
"GHSA-27qf-jwm8-g7f3",
"GHSA-27rc-728f-x5w2"
],
"fixed_version": "2.11.1",
"advisory_count": 745,
"oldest_advisory_days": 2374
},
{
"name": "tensorflow",
"direct": false,
"version": "2.4.0",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.3,
"advisory_ids": [
"GHSA-23hm-7w47-xw72",
"GHSA-2475-53vw-vp25",
"GHSA-247x-2f9f-5wp7",
"GHSA-24x4-6qmh-88qg",
"GHSA-24x6-8c7m-hv3f",
"GHSA-26j7-6w8w-7922",
"GHSA-278g-rq84-9hmg",
"GHSA-27j5-4p9v-pp67",
"GHSA-27qf-jwm8-g7f3",
"GHSA-27rc-728f-x5w2"
],
"fixed_version": "2.11.1",
"advisory_count": 760,
"oldest_advisory_days": 1895
},
{
"name": "torch",
"direct": false,
"version": "1.12.1",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.8,
"advisory_ids": [
"GHSA-3749-ghw9-m3mg",
"GHSA-47fc-vmwq-366v",
"GHSA-53q9-r3pm-6pq6",
"GHSA-5pcm-hx3q-hm94",
"GHSA-887c-mr87-cxwp",
"GHSA-c678-jfcj-6jmf",
"GHSA-f4hp-rmr7-r7v8",
"GHSA-pg7h-5qx3-wjr3",
"GHSA-qfhq-4f3w-5fph",
"GHSA-rrmf-rvhw-rf47"
],
"fixed_version": "2.13.0",
"advisory_count": 30,
"oldest_advisory_days": 833
},
{
"name": "torch",
"direct": false,
"version": "1.13.1",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.8,
"advisory_ids": [
"GHSA-3749-ghw9-m3mg",
"GHSA-53q9-r3pm-6pq6",
"GHSA-5pcm-hx3q-hm94",
"GHSA-887c-mr87-cxwp",
"GHSA-c678-jfcj-6jmf",
"GHSA-f4hp-rmr7-r7v8",
"GHSA-pg7h-5qx3-wjr3",
"GHSA-qfhq-4f3w-5fph",
"GHSA-rrmf-rvhw-rf47",
"GHSA-vgrw-7cvw-pwgx"
],
"fixed_version": "2.13.0",
"advisory_count": 28,
"oldest_advisory_days": 833
},
{
"name": "torch",
"direct": false,
"version": "1.9.1",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.8,
"advisory_ids": [
"GHSA-3749-ghw9-m3mg",
"GHSA-47fc-vmwq-366v",
"GHSA-53q9-r3pm-6pq6",
"GHSA-5pcm-hx3q-hm94",
"GHSA-887c-mr87-cxwp",
"GHSA-c678-jfcj-6jmf",
"GHSA-f4hp-rmr7-r7v8",
"GHSA-pg7h-5qx3-wjr3",
"GHSA-qfhq-4f3w-5fph",
"GHSA-rrmf-rvhw-rf47"
],
"fixed_version": "2.13.0",
"advisory_count": 30,
"oldest_advisory_days": 833
},
{
"name": "transformers",
"direct": false,
"version": "4.40.0",
"severity": "critical",
"ecosystem": "pypi",
"cvss_score": 9.6,
"advisory_ids": [
"GHSA-29pf-2h5f-8g72",
"GHSA-37mw-44qp-f5jm",
"GHSA-4w7r-h757-3r74",
"GHSA-59p9-h35m-wg4g",
"GHSA-69w3-r845-3855",
"GHSA-6rvg-6v2m-4j46",
"GHSA-9356-575x-2w9m",
"GHSA-fgcw-684q-jj6r",
"GHSA-fpwr-67px-3qhx",
"GHSA-hxxf-235m-72v3"
],
"fixed_version": "5.5.0",
"advisory_count": 42,
"oldest_advisory_days": 614
},
{
"name": "protobuf",
"direct": false,
"version": "3.19.4",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": 7.5,
"advisory_ids": [
"GHSA-7gcm-g887-7qv7",
"GHSA-8gq9-2x98-w8hf",
"GHSA-8qvm-5x2c-j2w7",
"PYSEC-2026-1805",
"PYSEC-2026-1806",
"PYSEC-2026-899"
],
"fixed_version": "6.33.5",
"advisory_count": 6,
"oldest_advisory_days": 1405
},
{
"name": "protobuf",
"direct": false,
"version": "3.19.6",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": 7.5,
"advisory_ids": [
"GHSA-7gcm-g887-7qv7",
"GHSA-8qvm-5x2c-j2w7",
"PYSEC-2026-1805",
"PYSEC-2026-1806"
],
"fixed_version": "6.33.5",
"advisory_count": 4,
"oldest_advisory_days": 408
},
{
"name": "protobuf",
"direct": false,
"version": "3.20.2",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": 7.5,
"advisory_ids": [
"GHSA-7gcm-g887-7qv7",
"GHSA-8qvm-5x2c-j2w7",
"PYSEC-2026-1805",
"PYSEC-2026-1806"
],
"fixed_version": "6.33.5",
"advisory_count": 4,
"oldest_advisory_days": 408
},
{
"name": "sentencepiece",
"direct": false,
"version": "0.1.96",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": null,
"advisory_ids": [
"GHSA-38vq-g6vr-w8wf",
"PYSEC-2026-1909"
],
"fixed_version": "0.2.1",
"advisory_count": 2,
"oldest_advisory_days": 188
},
{
"name": "setuptools",
"direct": false,
"version": "67.5",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": 8.8,
"advisory_ids": [
"GHSA-5rjg-fvgr-3xxf",
"GHSA-cx63-2mw6-8hw5",
"GHSA-h35f-9h28-mq5c",
"PYSEC-2025-49",
"PYSEC-2026-1918",
"PYSEC-2026-3447"
],
"fixed_version": "83.0.0",
"advisory_count": 6,
"oldest_advisory_days": 745
},
{
"name": "tensorflow",
"direct": false,
"version": "2.7.2",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": 8,
"advisory_ids": [
"GHSA-27rc-728f-x5w2",
"GHSA-368v-7v32-52fx",
"GHSA-49rq-hwc3-x77w",
"GHSA-54pp-c6pp-7fpx",
"GHSA-558h-mq8x-7q9g",
"GHSA-5w96-866f-6rm8",
"GHSA-647v-r7qq-24fh",
"GHSA-64jg-wjww-7c5w",
"GHSA-66vq-54fq-6jvv",
"GHSA-67pf-62xr-q35m"
],
"fixed_version": "2.11.1",
"advisory_count": 94,
"oldest_advisory_days": 1346
},
{
"name": "tensorflow",
"direct": false,
"version": "2.8.4",
"severity": "high",
"ecosystem": "pypi",
"cvss_score": 8,
"advisory_ids": [
"GHSA-49rq-hwc3-x77w",
"GHSA-558h-mq8x-7q9g",
"GHSA-5w96-866f-6rm8",
"GHSA-647v-r7qq-24fh",
"GHSA-64jg-wjww-7c5w",
"GHSA-68v3-g9cm-rmm6",
"GHSA-6hg6-5c2q-7rcr",
"GHSA-6wfh-89q8-44jq",
"GHSA-7jvm-xxmr-v5cw",
"GHSA-7x4v-9gxg-9hwj"
],
"fixed_version": "2.11.1",
"advisory_count": 46,
"oldest_advisory_days": 1346
},
{
"name": "numpy",
"direct": true,
"version": "1.19.2",
"severity": "moderate",
"ecosystem": "pypi",
"cvss_score": 5.3,
"advisory_ids": [
"GHSA-6p56-wp2h-9hxr",
"GHSA-fpfv-jqm9-f5jm"
],
"fixed_version": "1.22",
"advisory_count": 2,
"oldest_advisory_days": 1685
},
{
"name": "virtualenv",
"direct": false,
"version": "16.7.9",
"severity": "moderate",
"ecosystem": "pypi",
"cvss_score": 4.5,
"advisory_ids": [
"GHSA-597g-3phw-6986",
"GHSA-rqc4-2hc7-8c8v",
"PYSEC-2024-187",
"PYSEC-2026-2009"
],
"fixed_version": "20.36.1",
"advisory_count": 4,
"oldest_advisory_days": 197
}
],
"collected": true,
"malicious": [],
"truncated": false,
"by_severity": {
"high": 7,
"critical": 9,
"moderate": 2
},
"advisory_count": 1854,
"affected_count": 18,
"assessed_count": 38,
"malicious_count": 0,
"assessed_package": null,
"unassessed_count": 52,
"direct_affected_count": 1
},
"ecosystems": [
"pypi"
],
"dependencies": [
{
"name": "prettytable",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "jsonlines",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "flask",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "requests",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": null
},
{
"name": "numpy",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": "<=1.26.4"
}
],
"all_dependencies": {
"error": null,
"source": "github-sbom",
"packages": [
{
"name": "flask",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "jsonlines",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "numpy",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "numpy",
"direct": true,
"version": "1.19.2",
"ecosystem": "pypi"
},
{
"name": "numpy",
"direct": true,
"version": "1.23.0",
"ecosystem": "pypi"
},
{
"name": "numpy",
"direct": true,
"version": "1.23.4",
"ecosystem": "pypi"
},
{
"name": "prettytable",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "requests",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "accelerate",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "attrs",
"direct": false,
"version": "21.2.0",
"ecosystem": "pypi"
},
{
"name": "backoff",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "bert",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "bert-tensorflow",
"direct": false,
"version": "1.0.1",
"ecosystem": "pypi"
},
{
"name": "black",
"direct": false,
"version": "23.1.0",
"ecosystem": "pypi"
},
{
"name": "decorator",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "einops",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "flask-restful",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "fpdf",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "google-api-python-client",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "google-cloud-core",
"direct": false,
"version": "2.3.2",
"ecosystem": "pypi"
},
{
"name": "graphviz",
"direct": false,
"version": "0.8.4",
"ecosystem": "pypi"
},
{
"name": "grpcio",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "isort",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "keras2onnx",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "matplotlib",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "matplotlib",
"direct": false,
"version": "3.3.4",
"ecosystem": "pypi"
},
{
"name": "matplotlib",
"direct": false,
"version": "3.4.2",
"ecosystem": "pypi"
},
{
"name": "multipledispatch",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "mypy-protobuf",
"direct": false,
"version": "2.8",
"ecosystem": "pypi"
},
{
"name": "nltk",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "nvidia-modelopt",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "onnx",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "onnx",
"direct": false,
"version": "1.12.0",
"ecosystem": "pypi"
},
{
"name": "onnx",
"direct": false,
"version": "1.13.1",
"ecosystem": "pypi"
},
{
"name": "onnxconverter-common",
"direct": false,
"version": "1.12.2",
"ecosystem": "pypi"
},
{
"name": "onnxruntime",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "onnxruntime",
"direct": false,
"version": "1.12.0",
"ecosystem": "pypi"
},
{
"name": "opencv-python",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "opencv-python-headless",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "packaging",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pandas",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pandas",
"direct": false,
"version": "1.3.3",
"ecosystem": "pypi"
},
{
"name": "pandas",
"direct": false,
"version": "1.5.1",
"ecosystem": "pypi"
},
{
"name": "prompt-toolkit",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "protobuf",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "protobuf",
"direct": false,
"version": "3.19.4",
"ecosystem": "pypi"
},
{
"name": "protobuf",
"direct": false,
"version": "3.19.6",
"ecosystem": "pypi"
},
{
"name": "protobuf",
"direct": false,
"version": "3.20.2",
"ecosystem": "pypi"
},
{
"name": "psutil",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pulp",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pybind11",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pydot",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pytest",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pytest-cov",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pytest-mock",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pytest-random-order",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "pyyaml",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "scikit-learn",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "scipy",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "sentencepiece",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "sentencepiece",
"direct": false,
"version": "0.1.96",
"ecosystem": "pypi"
},
{
"name": "setuptools",
"direct": false,
"version": "67.5",
"ecosystem": "pypi"
},
{
"name": "synr",
"direct": false,
"version": "0.4",
"ecosystem": "pypi"
},
{
"name": "tensorflow",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "tensorflow",
"direct": false,
"version": "1.15.0",
"ecosystem": "pypi"
},
{
"name": "tensorflow",
"direct": false,
"version": "2.4.0",
"ecosystem": "pypi"
},
{
"name": "tensorflow",
"direct": false,
"version": "2.7.2",
"ecosystem": "pypi"
},
{
"name": "tensorflow",
"direct": false,
"version": "2.8.4",
"ecosystem": "pypi"
},
{
"name": "tensorflow-datasets",
"direct": false,
"version": "4.7.0",
"ecosystem": "pypi"
},
{
"name": "tensorstore",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "tf2onnx",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "tiktoken",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "tokenization",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "torch",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "torch",
"direct": false,
"version": "1.12.1",
"ecosystem": "pypi"
},
{
"name": "torch",
"direct": false,
"version": "1.13.1",
"ecosystem": "pypi"
},
{
"name": "torch",
"direct": false,
"version": "1.9.1",
"ecosystem": "pypi"
},
{
"name": "torchvision",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "torchvision",
"direct": false,
"version": "0.10.1",
"ecosystem": "pypi"
},
{
"name": "torchvision",
"direct": false,
"version": "0.13.1",
"ecosystem": "pypi"
},
{
"name": "tqdm",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "transformers",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "transformers",
"direct": false,
"version": "4.40.0",
"ecosystem": "pypi"
},
{
"name": "triton",
"direct": false,
"version": "2.1.0",
"ecosystem": "pypi"
},
{
"name": "typing-extensions",
"direct": false,
"version": "3.7.4.3",
"ecosystem": "pypi"
},
{
"name": "virtualenv",
"direct": false,
"version": "16.7.9",
"ecosystem": "pypi"
},
{
"name": "wandb",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "wrapt",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "wrapt",
"direct": false,
"version": "1.14.1",
"ecosystem": "pypi"
},
{
"name": "zarr",
"direct": false,
"version": null,
"ecosystem": "pypi"
}
],
"collected": true,
"truncated": false,
"total_count": 90,
"direct_count": 8,
"indirect_count": 82
}
},
"maintainership": {
"issues": {
"open_prs": 14,
"merged_prs": 88,
"open_issues": 24,
"closed_ratio": 0.68,
"closed_issues": 51,
"closed_unmerged_prs": 25
},
"bus_factor": 2,
"bot_contributors": 0,
"top_contributors": [
{
"type": "User",
"login": "suisiyuan",
"commits": 107,
"avatar_url": "https://avatars.githubusercontent.com/u/9820147?v=4"
},
{
"type": "User",
"login": "JianzheXiao",
"commits": 64,
"avatar_url": "https://avatars.githubusercontent.com/u/116053859?v=4"
},
{
"type": "User",
"login": "jackzipu",
"commits": 21,
"avatar_url": "https://avatars.githubusercontent.com/u/74961298?v=4"
},
{
"type": "User",
"login": "Minghui-BD",
"commits": 17,
"avatar_url": "https://avatars.githubusercontent.com/u/94037790?v=4"
},
{
"type": "User",
"login": "YJessicaGao",
"commits": 14,
"avatar_url": "https://avatars.githubusercontent.com/u/40789415?v=4"
},
{
"type": "User",
"login": "keg0704",
"commits": 11,
"avatar_url": "https://avatars.githubusercontent.com/u/91190770?v=4"
},
{
"type": "User",
"login": "HanTengfei99",
"commits": 10,
"avatar_url": "https://avatars.githubusercontent.com/u/160694994?v=4"
},
{
"type": "User",
"login": "HunterHantao",
"commits": 10,
"avatar_url": "https://avatars.githubusercontent.com/u/8010994?v=4"
},
{
"type": "User",
"login": "stc-qiupeng",
"commits": 10,
"avatar_url": "https://avatars.githubusercontent.com/u/94040050?v=4"
},
{
"type": "User",
"login": "jessicagao01",
"commits": 6,
"avatar_url": "https://avatars.githubusercontent.com/u/274506410?v=4"
}
],
"contributors_sampled": 15,
"top_contributor_share": 0.382
},
"quality_signals": {
"has_ci": false,
"has_tests": true,
"ci_workflows": [],
"has_docs_dir": false,
"linter_configs": [
".flake8",
".pylintrc"
],
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": false
},
"security_signals": {
"lockfiles": [],
"scorecard": null,
"has_codeql_workflow": false,
"has_security_policy": false,
"has_dependabot_config": false
},
"contribution_flow": {
"collected": true,
"ci_last_run_at": "2026-07-29T17:55:22Z",
"oldest_open_prs": [
{
"number": 59,
"created_at": "2024-04-01T14:08:39Z",
"last_comment_at": "2024-04-01T14:08:46Z",
"last_comment_author": "CLAassistant"
},
{
"number": 66,
"created_at": "2024-04-19T12:13:47Z",
"last_comment_at": "2024-04-19T12:13:54Z",
"last_comment_author": "CLAassistant"
},
{
"number": 75,
"created_at": "2024-05-30T03:42:26Z",
"last_comment_at": "2024-05-30T03:42:33Z",
"last_comment_author": "CLAassistant"
},
{
"number": 93,
"created_at": "2024-08-20T07:15:14Z",
"last_comment_at": "2024-08-20T07:15:22Z",
"last_comment_author": "CLAassistant"
},
{
"number": 117,
"created_at": "2024-10-29T07:42:14Z",
"last_comment_at": "2024-10-29T07:42:22Z",
"last_comment_author": "CLAassistant"
},
{
"number": 119,
"created_at": "2024-11-06T02:17:29Z",
"last_comment_at": "2025-03-10T06:16:51Z",
"last_comment_author": "Yi-sir"
},
{
"number": 135,
"created_at": "2025-05-24T11:26:07Z",
"last_comment_at": "2025-05-24T11:26:12Z",
"last_comment_author": "CLAassistant"
},
{
"number": 137,
"created_at": "2025-06-27T07:40:18Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 138,
"created_at": "2025-06-27T07:57:25Z",
"last_comment_at": "2025-06-27T08:15:27Z",
"last_comment_author": "caizhi-mt"
},
{
"number": 184,
"created_at": "2026-02-24T01:23:19Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 191,
"created_at": "2026-04-17T09:59:32Z",
"last_comment_at": "2026-04-18T09:41:49Z",
"last_comment_author": "testman0001"
},
{
"number": 197,
"created_at": "2026-05-06T09:30:24Z",
"last_comment_at": "2026-05-06T09:30:33Z",
"last_comment_author": "CLAassistant"
},
{
"number": 200,
"created_at": "2026-05-20T07:48:59Z",
"last_comment_at": "2026-05-20T07:49:06Z",
"last_comment_author": "CLAassistant"
},
{
"number": 202,
"created_at": "2026-06-11T09:50:15Z",
"last_comment_at": "2026-06-11T09:53:13Z",
"last_comment_author": "CLAassistant"
}
],
"last_merged_pr_at": "2026-04-22T07:31:09Z",
"ci_last_conclusion": "SUCCESS",
"oldest_open_issues": [
{
"number": 49,
"created_at": "2024-02-23T10:54:08Z",
"last_comment_at": "2024-03-26T20:47:43Z",
"last_comment_author": "JianzheXiao"
},
{
"number": 77,
"created_at": "2024-06-03T09:37:00Z",
"last_comment_at": "2024-06-24T12:01:37Z",
"last_comment_author": "suisiyuan"
},
{
"number": 104,
"created_at": "2024-09-02T07:04:14Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 112,
"created_at": "2024-10-11T02:51:25Z",
"last_comment_at": "2024-10-15T06:06:32Z",
"last_comment_author": "danielhua23"
},
{
"number": 113,
"created_at": "2024-10-15T07:23:03Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 115,
"created_at": "2024-10-21T08:23:31Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 123,
"created_at": "2024-11-22T02:07:07Z",
"last_comment_at": "2024-11-22T02:10:52Z",
"last_comment_author": "yaoyixuejava"
},
{
"number": 131,
"created_at": "2025-02-20T03:41:08Z",
"last_comment_at": "2025-02-20T03:52:46Z",
"last_comment_author": "suisiyuan"
},
{
"number": 139,
"created_at": "2025-08-11T03:39:51Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 146,
"created_at": "2025-12-08T05:21:58Z",
"last_comment_at": "2025-12-08T13:47:40Z",
"last_comment_author": "Riverstrider"
},
{
"number": 147,
"created_at": "2025-12-08T05:24:59Z",
"last_comment_at": "2025-12-08T13:04:16Z",
"last_comment_author": "jiajiacui0404"
},
{
"number": 149,
"created_at": "2025-12-08T06:56:40Z",
"last_comment_at": "2025-12-08T07:05:35Z",
"last_comment_author": "HunterHantao"
},
{
"number": 160,
"created_at": "2025-12-09T01:38:21Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 172,
"created_at": "2026-01-12T07:27:37Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 183,
"created_at": "2026-02-19T23:21:17Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 187,
"created_at": "2026-04-02T08:16:58Z",
"last_comment_at": "2026-04-03T07:22:21Z",
"last_comment_author": "suisiyuan"
},
{
"number": 188,
"created_at": "2026-04-03T03:34:11Z",
"last_comment_at": "2026-04-03T07:21:14Z",
"last_comment_author": "suisiyuan"
},
{
"number": 189,
"created_at": "2026-04-15T11:36:31Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 190,
"created_at": "2026-04-17T09:57:55Z",
"last_comment_at": null,
"last_comment_author": null
},
{
"number": 195,
"created_at": "2026-04-29T08:32:26Z",
"last_comment_at": null,
"last_comment_author": null
}
]
}
},
"config": {
"disabled_metrics": [],
"disabled_categories": [],
"disabled_components": {}
},
"source": {
"url": "https://github.com/bytedance/xpu-perf",
"host": "github.com",
"name": "xpu-perf",
"owner": "bytedance"
},
"metrics": {
"overall": {
"key": "overall",
"band": "moderate",
"name": "Overall health",
"note": null,
"notes": [],
"value": 51,
"inputs": {
"security": 16,
"vitality": 41,
"community": 67,
"governance": 69,
"engineering": 56
},
"components": []
},
"categories": [
{
"key": "vitality",
"band": "at_risk",
"name": "Vitality",
"value": 41,
"weight": 0.22,
"metrics": [
{
"key": "development_activity",
"band": "at_risk",
"name": "Development activity",
"note": null,
"notes": [],
"value": 33,
"inputs": {
"commits_last_year": 29,
"human_commit_share": 1,
"days_since_last_push": 99,
"active_weeks_last_year": 10
},
"components": [
{
"key": "push_recency",
"name": "Push recency",
"detail": "last push 99 days ago",
"points": 9.9,
"status": "partial",
"details": [
{
"code": "push_recency",
"params": {
"days": 99
}
}
],
"max_points": 36
},
{
"key": "commit_cadence",
"name": "Commit cadence",
"detail": "10/52 weeks with commits",
"points": 6.9,
"status": "partial",
"details": [
{
"code": "commit_cadence_weeks",
"params": {
"weeks": 10
}
}
],
"max_points": 36
},
{
"key": "commit_volume",
"name": "Commit volume",
"detail": "29 commits in the last year",
"points": 13.3,
"status": "partial",
"details": [
{
"code": "commits_last_year",
"params": {
"count": 29
}
}
],
"max_points": 18
},
{
"key": "openssf_scorecard_maintained",
"name": "OpenSSF Scorecard: Maintained",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "release_discipline",
"band": "moderate",
"name": "Release discipline",
"note": null,
"notes": [],
"value": 52,
"inputs": {
"releases_count": 1,
"latest_release_tag": "v1.0.0",
"releases_from_tags": false,
"days_since_latest_release": 703,
"mean_days_between_releases": null
},
"components": [
{
"key": "ships_releases",
"name": "Ships releases",
"detail": "1 releases published",
"points": 27,
"status": "met",
"details": [
{
"code": "releases_published",
"params": {
"count": 1
}
}
],
"max_points": 27
},
{
"key": "release_recency",
"name": "Release recency",
"detail": "latest release 703 days ago",
"points": 7.2,
"status": "partial",
"details": [
{
"code": "release_recency",
"params": {
"days": 703
}
}
],
"max_points": 36
},
{
"key": "release_cadence",
"name": "Release cadence",
"detail": "cadence unknown (single release)",
"points": 12.6,
"status": "partial",
"details": [
{
"code": "release_cadence_unknown",
"params": {}
}
],
"max_points": 27
},
{
"key": "openssf_scorecard_signed_releases",
"name": "OpenSSF Scorecard: Signed-Releases",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "abandonment",
"band": "excellent",
"name": "Abandonment",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"cap": null,
"state": "maintained",
"guards": [],
"signals": [],
"red_flag": false,
"multiplier_pct": 100,
"declared_reason": null,
"unverified_reason": null,
"unanswered_open_prs": null,
"unanswered_open_issues": null,
"days_since_last_merged_pr": null,
"days_since_last_human_commit": 99,
"days_since_last_human_commit_is_floor": false
},
"components": [
{
"key": "project_is_still_maintained",
"name": "Project is still maintained",
"detail": "last human commit 99 days ago",
"points": 100,
"status": "met",
"details": [
{
"code": "abandonment_maintained",
"params": {
"days": 99
}
}
],
"max_points": 100
}
]
}
],
"description": "Is the project alive — is code being written and are releases shipping?"
},
{
"key": "community",
"band": "moderate",
"name": "Community & Adoption",
"value": 67,
"weight": 0.18,
"metrics": [
{
"key": "popularity",
"band": "moderate",
"name": "Popularity & adoption",
"note": null,
"notes": [],
"value": 65,
"inputs": {
"forks": 130,
"stars": 370,
"watchers": 12,
"growth_state": "unverified",
"growth_factor_pct": 100,
"growth_unverified_reason": "no_history"
},
"components": [
{
"key": "stars",
"name": "Stars",
"detail": "370 stars",
"points": 41.6,
"status": "partial",
"details": [
{
"code": "stars",
"params": {
"count": 370
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "130 forks",
"points": 17.6,
"status": "partial",
"details": [
{
"code": "forks",
"params": {
"count": 130
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "12 watchers",
"points": 5.8,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 12
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "good",
"name": "Community health",
"note": null,
"notes": [],
"value": 70,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (Apache-2.0)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "Apache-2.0"
}
}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 18,
"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 13.5
},
{
"key": "issue_template",
"name": "Issue template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.3
}
]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "moderate",
"name": "Sustainability & Governance",
"value": 69,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "moderate",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 58,
"inputs": {
"bus_factor": 2,
"contributors_sampled": 15,
"top_contributor_share": 0.382
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "2 contributor(s) cover half of all commits",
"points": 25.2,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 2
}
}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 38% of commits",
"points": 13.9,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 38
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "15 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 15
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 72,
"inputs": {
"merged_prs": 88,
"open_issues": 24,
"closed_issues": 51,
"issue_closed_ratio": 0.68,
"closed_unmerged_prs": 25
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "68% of issues closed",
"points": 31.8,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 68
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "88/113 decided PRs merged",
"points": 29.8,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 88,
"decided": 113
}
}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "good",
"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"followers": 18616,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "bytedance",
"public_repos": 414,
"account_age_days": 4854
},
"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "organization-owned",
"points": 30,
"status": "met",
"details": [
{
"code": "owner_organization",
"params": {}
}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "18,616 followers of bytedance",
"points": 25,
"status": "met",
"details": [
{
"code": "owner_followers",
"params": {
"count": 18616,
"login": "bytedance"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "414 public repos, account ~13 yr old",
"points": 25,
"status": "met",
"details": [
{
"code": "public_repos",
"params": {
"count": 414
}
},
{
"code": "account_age_years",
"params": {
"years": 13
}
}
],
"max_points": 25
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "moderate",
"name": "Engineering Quality",
"value": 56,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "moderate",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 50,
"inputs": {
"has_ci": false,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": false
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": ".flake8, .pylintrc",
"points": 16,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".flake8, .pylintrc"
}
}
],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "moderate",
"name": "Documentation",
"note": null,
"notes": [],
"value": 65,
"inputs": {
"topics": [
"python"
],
"has_wiki": false,
"homepage": "https://xpu-perf.ai/",
"has_readme": true,
"has_docs_dir": false,
"has_description": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": "https://xpu-perf.ai/",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "1 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 1
}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "critical",
"name": "Security",
"value": 16,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "critical",
"name": "Security posture",
"note": null,
"notes": [],
"value": 1,
"inputs": {
"source": "file_signals",
"lockfiles": [],
"manifests": [
"pyproject.toml"
],
"has_codeql_workflow": false,
"has_security_policy": false,
"has_dependabot_config": false
},
"components": [
{
"key": "security_policy_security_md",
"name": "Security policy (SECURITY.md)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 30
},
{
"key": "dependabot_config",
"name": "Dependabot config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "dependency_lockfiles",
"name": "Dependency lockfiles",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "codeql_workflow",
"name": "CodeQL workflow",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
}
]
},
{
"key": "dependency_advisories",
"band": "good",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 38 resolved dependencies against OSV; 52 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"indirect_dependencies_free_of_known_advisories"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 38
}
},
{
"code": "advisories_unassessed",
"params": {
"count": 52
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 74,
"inputs": {
"source": "osv",
"advisories": 1854,
"affected_packages": 18,
"assessed_packages": 38,
"unassessed_packages": 52,
"affected_by_severity": "critical 9, high 7, moderate 2",
"direct_affected_packages": 1
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "1 affected: numpy 1.19.2 (moderate 5.3)",
"points": 20.2,
"status": "partial",
"details": [
{
"code": "advisories_affected",
"params": {
"count": 1,
"packages": "numpy 1.19.2 (moderate 5.3)"
}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "1 advisory-carrying package(s) unaddressed past 90 days; oldest published 1685 days ago",
"points": 35.3,
"status": "partial",
"details": [
{
"code": "advisories_stale",
"params": {
"days": 90,
"count": 1,
"oldest": 1685
}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 38,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 2
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "moderate",
"name": "AI Readiness",
"value": 62,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 20,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.37,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "37 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 19.7,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 37,
"sampled": 100
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [
"projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
"projects/train_perf/Megatron-LM/mypy.ini"
],
"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": ".flake8, .pylintrc",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".flake8, .pylintrc"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "projects/train_perf/Megatron-LM/mypy.ini",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "projects/train_perf/Megatron-LM/mypy.ini"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "Dockerfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 81,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 132791,
"source_files_sampled": 757,
"oversized_source_files": 8
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (projects/train_perf/Megatron-LM/mypy.ini)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "projects/train_perf/Megatron-LM/mypy.ini",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "8/757 source files over 60KB",
"points": 54.4,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 757,
"oversized": 8
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "good",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"example_dirs": [
"examples",
"recipes"
],
"has_mcp_signal": false,
"api_schema_files": [
"projects/infer_perf/llm_perf/server/server.proto"
]
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": "projects/infer_perf/llm_perf/server/server.proto",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "projects/infer_perf/llm_perf/server/server.proto"
}
}
],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples, recipes",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples, recipes"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"Could not fetch pypi package 'xpu-perf' from its registry",
"Advisory severity resolved for 120 of 731 advisories (lookup cap); the remainder are reported as unknown severity",
"OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks"
],
"report_type": "repository",
"generated_at": "2026-07-30T11:27:36.779050Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/bytedance/xpu-perf.svg",
"full_name": "bytedance/xpu-perf",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken.