Öffentliches Register
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-29 01:32 UTC

fpedd / omnimalloc

State-of-the-art static memory allocation for neural networks.

Python · C++Apache-2.0★ 4 Sterne⑂ 1 Forkseit Dez. 2025Auf GitHub ansehen ↗

fpedd/omnimalloc erreicht einen Gesundheitsindex von 56 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (76/100) ab, am schwächsten bei Community & Adoption (28/100). Zuletzt vor 6 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

56
gesamt / 100
Mittel

Software-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.

56
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)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

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

Fabian PeddinghausPersönliches Konto
14 Follower42 öffentliche Reposseit Jan. 2017Axelera AI

Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIomnimalloc0.4.0-5vor 39 Tagenmemoryallocationallocatorstatic-allocation

Metriken nach Kategorie

Vitalität

Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?

76Gut · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 6 Tagen
6.2/36Commit-Rhythmus — 9/52 Wochen mit Commits
14.2/18Commit-Volumen — 37 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year37
human_commit_share1
days_since_last_push6
active_weeks_last_year9
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 5 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 11 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 52 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count5
latest_release_tagv0.6.0
releases_from_tagsnein
days_since_latest_release11
mean_days_between_releases52
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

28Kritisch · 18 % des Gesamtindex
Wie die Bewertung erfolgt
7.7/60Stars — 4 Stars
0/25Forks — 1 Forks
0/15Watcher — 0 Watcher
Verwendete Eingangsdaten
forks1
stars4
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

46Gefährdet · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0.6/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 97 % der Commits
2.7/13.5Breite der Beitragenden — 2 Beitragende
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Verwendete Eingangsdaten
bus_factor1
contributors_sampled2
top_contributor_share0,973
Wie die Bewertung erfolgt
0/46.8Issue-Lösungsquote — 0 % der Issues geschlossen
35.2/38.3PR-Annahme — 35/38 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 1/30 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs35
open_issues6
closed_issues0
issue_closed_ratio0
closed_unmerged_prs3
Wie die Bewertung erfolgt
10/30Organisatorische Trägerschaft — persönliches (Nutzer-)Konto
0/20Verifizierte Domain — für Nutzerkonten nicht anwendbar
8.5/25Reichweite des Inhabers — 14 Follower von fpedd
23.9/25Kontohistorie — 42 öffentliche Repos, Kontoalter ca. 9 Jahre
Verwendete Eingangsdaten
followers14
owner_typeUser
is_verified
owner_loginfpedd
public_repos42
account_age_days3.467
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 39 Tagen
20/20Versionshistorie — 5 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesomnimalloc
ecosystemspypi
any_deprecatednein
min_days_since_publish39

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

76Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 2 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?

53Mittel · 16 % des Gesamtindex

Sicherheitslage

41Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/30 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 69 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4,1
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
35/35Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory
25/25Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory
0/40Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum
Verwendete Eingangsdaten
sourceosv
advisories0
affected_packages0
assessed_packages2
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:omnimalloc@0.4.0 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 2 Paketen. 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.

52Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
40/40Lesbare Commit-Historie — 35 von 37 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,946
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — src/python/omnimalloc/py.typed
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 37
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesuv.lock
has_dockerfilenein
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configssrc/python/omnimalloc/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (src/python/omnimalloc/py.typed)
55/55Handhabbare Dateigrößen — 0/174 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes38.388
source_files_sampled174
oversized_source_files0
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples, notebooks
Verwendete Eingangsdaten
example_dirsexamples, notebooks
has_mcp_signalnein
api_schema_files

Eckdaten

4GitHub-Sterne
2Mitwirkende
37Commits, letzte 12 Monate
6Tage seit letztem Push
5Releases
1Bus-Faktor
6offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Weitere Details

OpenSSF Scorecard 4.1 / 10
4.1Gesamtwert

Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-29 01:31 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities69 existing vulnerabilities detected
Direkte Abhängigkeiten 2
RegistryPaketVersionsvorgabeManifest
PyPInumpy>=1.25.0pyproject.toml
PyPItyping-extensions>=4.0.0pyproject.toml
Alle Abhängigkeiten nicht erhoben

Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Abhängigkeits-Advisories 0

Die Installation von pypi:omnimalloc@0.4.0 zieht 2 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.

Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.

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
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          "is_bot": false,
          "headline": "Budget placement pressure and localize the linearize witness (#45)",
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          "body": "Rerun the deterministic README benchmark suite with the new\nOmniAllocator and regenerate all committed figure assets.\n\nOmni matches the greedy portfolio (greedy-all) on solution quality at\n80.17% mean packing efficiency across the 13 hard problems, but runs\n~17x faster (0.95 ms vs 16.3 ms mean), pla\n[…]\n.6 ms to 0.2 ms; on faster\n  machines the greedy (size) and best-fit points fell off the left edge.\n- Split the quality figure's inline legend onto two lines; seven\n  entries overflowed a single line.",
          "is_bot": false,
          "headline": "Add omni allocator to README benchmark figures (#39)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-15T11:40:08Z",
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        },
        {
          "oid": "6cae6b302a0d9805db27030eb50cc4819b3009bc",
          "body": "… (#38)\n\nPin the vector-clock liveness relation with randomized, seeded property\ntests instead of only hand-picked examples:\n\n- Differential: pairwise overlaps_temporally and the sweep-pruned\n  compute_temporal_overlaps graph both match an independent componentwise\n  happens-before oracle on tie-hea\n[…]\nnts pass on every\n  sync pattern while placements corrupted to collide a conflicting pair\n  always fail; same-offset reuse across a happens-before edge passes and\n  flipping one clock component fails.",
          "is_bot": false,
          "headline": "Add property tests for vector-clock conflict semantics and validation…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-15T10:52:49Z",
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        },
        {
          "oid": "59feac9524fcc889ddf194e329ee787a63fb58af",
          "body": "…s (#37)\n\nGeneralize lifetimes from scalar intervals to vector clocks (one component\nper thread): Allocation carries a TimePoint variant on both sides of the\nbinding, temporal overlap becomes the happens-before conflict test, and\n1-element vectors normalize to scalars so existing scalar behavior is\n\n[…]\ns; scripts/\nbenchmark_pressure.py compares all pressure methods, doubles as a torture\npass (bound order, max-equals-global identities, tiling optimum), and drops\nany method exceeding a per-run budget.",
          "is_bot": false,
          "headline": "Add vector-clock lifetimes, omni allocator, and exact pressure querie…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-15T10:30:20Z",
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        {
          "oid": "03d5a91dd9ef76d58a38f554ea72720c25902dc8",
          "body": "…ternals (#36)\n\nSplit greedy_base into first_fit (overlap graph + placement) and a new\nlocal_search module (peak_of, peak_positions, initial_order,\nearlier_neighbors, propose_peak_swap) so the metaheuristics share their\nmove-proposal code instead of keeping near-verbatim copies.\n\n- Centralize timeou\n[…]\nalloc runs (including tie-heavy and single-\nallocation cases); benchmarks match the previous commit within noise\n(greedy 500k allocations ~0.9 s, best-fit 100k ~150 ms, telamalloc/SA/\ntabu unchanged).",
          "is_bot": false,
          "headline": "Extract shared first-fit and local-search helpers, dedup allocator in…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-14T15:55:00Z",
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        },
        {
          "oid": "03248af7bfebc8e8b56a78cb0f809a859e467df0",
          "body": "…#35)\n\nRework the C++ first-fit hot path around index-based overlap adjacency\n(compute_overlap_indices + first_fit_place_indexed), ~580x faster on\nadversarial inputs, keep nanobind builds at -O3 via NOMINSIZE, and\nrelease the GIL across the C++ allocator entry points.\n\nFix a telamalloc segfault on i\n[…]\n), make the\nallocator/source registries live, validate Pool.allocate returns and\nduplicate registry names, dedupe the tqdm fallback, and regenerate the\nREADME figures with the new performance numbers.",
          "is_bot": false,
          "headline": "Deep-audit fixes: faster first-fit, overflow guards, timeout rename (…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-14T11:20:25Z",
          "body_truncated": true,
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        },
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          "oid": "b10972a59b7107f0714029231c0297b2a37feba2",
          "body": "…#30)\n\nAdd best-fit, simulated annealing, tabu search, and telamalloc to the\nREADME benchmark figures: the hero Pareto plot grows from 8 to 11\nallocators (greedy-by-area retired; the size and all variants already\ntell the greedy story), the quality plot now compares greedy (size),\nbest-fit, tabu sea\n[…]\n13 hard problems within 3 s (down from 11 at 10 s)\nat 97.6% mean efficiency, and mm-G in the README allocation figure\nremains proven optimal. The 05 example now also exercises best-fit and\ntelamalloc.",
          "is_bot": false,
          "headline": "Benchmark new allocators in README figures and unify the 3 s budget (…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-07T22:30:20Z",
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          "oid": "0d3961997a99606c1bf1b6f46e97b33fb492cbab",
          "body": "Move the hero figure from the top of the page into the Benchmarks\nsection, replacing the quality and scaling plots. The intro paragraphs\nnow follow the badges directly, and the Installation section gains a\npip install straight from GitHub alongside the PyPI release.",
          "is_bot": false,
          "headline": "Restructure README layout (#29)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-07T16:09:59Z",
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          "oid": "105e7fb51efe1aa8251252fb84d00df20a0633de",
          "body": "…tors (#28)\n\nFour new C++ allocators exposed via nanobind with Python wrappers,\nregistry integration, and unit tests:\n\n- BestFitAllocator: greedy placement into the smallest fitting gap\n  among placed temporal overlaps, falling back past the last one.\n- SimulatedAnnealingAllocator: anneals over firs\n[…]\n and best-fit shares the\nplaced-overlap collection with the first-fit offset search. The three\nsearch allocators release the GIL for the duration of the native\nsearch, matching greedy_many/solve_many.",
          "is_bot": false,
          "headline": "Add best-fit, simulated annealing, tabu search, and telamalloc alloca…",
          "author_name": "Fabian Peddinghaus",
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          "oid": "866382e8d67198d3f2bd10fd3874c0cf38f11cfe",
          "body": "…#27)\n\nfig.savefig always passed format=\"pdf\" regardless of the requested file\nextension, so a .png path silently contained PDF bytes. And every axis tick,\ntitle, and limit annotation divided by MB unconditionally, so capacities below\n1MB (small demo/test instances) rendered every y-tick as 0.0 and were\nunreadable.\n\nLet savefig infer the format from the path's own extension, and add\n_byte_unit/_format_bytes to pick B/KB/MB/GB per value instead of assuming MB.",
          "is_bot": false,
          "headline": "Fix plot_allocation's hardcoded PDF output and MB-only unit scaling (…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-07T08:18:46Z",
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          "body": null,
          "is_bot": false,
          "headline": "Small set of follow-up fixes (#26)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-06T14:05:18Z",
          "body_truncated": false,
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          "oid": "7bf8a6902e0fcffd9cc9655720922e19373b8f75",
          "body": "Rework the README around a hero Pareto plot (quality vs. solve time),\na solved-allocation rendering, and per-problem quality / scaling figures,\nplus a runnable quickstart, badges, and a feature summary.\n\nAll figures are produced by scripts/generate_readme_assets.py from a\ndeterministic benchmark run\n[…]\n 3 s for scaling). minimalloc has no PyPI wheel,\nso the generator installs it on demand before importing the omnimalloc\nallocators, and caps its scaling series at the sizes it can solve within\nbudget.",
          "is_bot": false,
          "headline": "Overhaul README with generated benchmark figures (#25)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-06T13:44:38Z",
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          "oid": "c8e0ec9a298b2ede8f077d8bf1a322193ef65b9e",
          "body": "…FirstFitPlacer (#23)\n\nExtract the first-fit core from greedy.cpp into greedy_base.{hpp,cpp} and add a\nresident FirstFitPlacer that owns the allocations and their overlap map, so\nsearching over candidate orderings only marshals an index permutation across\nthe Python boundary rather than re-marshalin\n[…]\ninimalloc is flattened. Hill-climb annealing is rewritten to an exp(-delta%/T)\nschedule with a corrected default temperature. Adds unit tests for the genetic,\nminimalloc, random, and naive allocators.",
          "is_bot": false,
          "headline": "Extract shared greedy base and route order-search allocators through …",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-04T13:47:31Z",
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        },
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          "oid": "f21ee51384862bc4fd2b472824d3cd04dcf5ba2d",
          "body": "* Add SuperMalloc branch-and-bound allocator\n\nAdd a SuperMalloc-style allocator that solves the static packing problem via\nportfolio branch-and-bound search running entirely in C++. The Partition\nsearch core (src/cpp/allocators/supermalloc/) is exposed through nanobind\n(Partition, SearchOptions, Sol\n[…]\nchOptions exposes per-rule pruning toggles (canonical, dominance,\nfloor_inference, monotonic_floor, decompose) for ablation.\n\n* Fix MSVC build: prevent windows.h min/max macros clobbering std::min/max",
          "is_bot": false,
          "headline": "Add SuperMalloc branch-and-bound allocator (#15)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-03T23:08:38Z",
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          "body": null,
          "is_bot": false,
          "headline": "Source version from git tags via setuptools-scm (#10)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-03T16:24:50Z",
          "body_truncated": false,
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        },
        {
          "oid": "50ea51d8531b41ab428538a78ef1e2224664996c",
          "body": "* Add problem dump/load in minimalloc CSV format\n\nAdd dump_allocation/load_allocation to serialize a System, Memory, or\nPool to minimalloc-format CSV files (id,lower,upper,size) and read them\nback into a Pool. This lets users export an allocation problem they hit\nissues with and share it for inspect\n[…]\nresolution sleep can return early), making the\n>1_000_000 ns assertion flaky. Drive the clock deterministically via\nmonkeypatch so the test verifies the stopped-timer behavior without any\ntiming race.",
          "is_bot": false,
          "headline": "Add problem dump/load in minimalloc CSV format (#20)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-03T15:41:15Z",
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        },
        {
          "oid": "f404ef2b77cf5b89e8b4cf2c884093ed7be9e882",
          "body": "The by-all ensembles run 7 independent variants; with parallel=True they\nfan out to a ProcessPoolExecutor. Default remains serial.\n\nAllocations are passed to workers directly and variants are reconstructed\nfrom their registry name; offsets come back on the returned allocations,\nand the winner is pic\n[…]\n regress -- the per-call pool spawn (~0.5s,\ndominated by workers re-importing the C++ extension) dwarfs the work\n(e.g. minimalloc challenging K 0.05s -> 0.6s), so use cores=1 for\nsub-second workloads.",
          "is_bot": false,
          "headline": "Add opt-in parallel execution to allocate_best_of (#19)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-03T10:12:39Z",
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        },
        {
          "oid": "b6a92a47c53c5f26003153f0d4f460a1751dede5",
          "body": "* Run test job on all wheel-target platforms\n\nExtend the Checks test matrix beyond ubuntu-latest with one job each on\nubuntu-24.04-arm, macos-latest, and windows-latest (Python 3.13), matching\nthe cibuildwheel platforms in build.yml. The minimalloc source install is\ngated to Linux runners; its tests\n[…]\nonly builds on Linux). Skip the minimalloc allocator in the\nexamples when it is unavailable, and force matplotlib's non-interactive Agg\nbackend in the test job since the runners lack a working Tcl/Tk.",
          "is_bot": false,
          "headline": "Run test job on all wheel-target platforms (#21)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-03T09:02:05Z",
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        },
        {
          "oid": "b747ec0b7c71dd4f21e728a4305ab8ded39163e2",
          "body": "Replace the all-pairs Python loop in compute_conflict_degrees with two\nbisect lookups over pre-sorted start/end lists: an allocation overlaps\nevery other allocation that starts before its end and has not ended by\nits start, minus itself. Results are identical for valid inputs (unique\nids), verified \n[…]\n the dominant cost of both conflict-based variants and thus of\nthe by-all ensembles: at 10k random allocations, greedy_by_conflict_cpp\ndrops from 5.7s to 0.5s and greedy_by_all_cpp from 14.3s to 3.6s.",
          "is_bot": false,
          "headline": "Make conflict degree computation O(n log n) (#18)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-02T12:23:11Z",
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          "is_coding_agent": false
        },
        {
          "oid": "3b4e870a8b0c04c330ef4152162e9ea3f423a540",
          "body": "Benchmarked 11 candidate sort orders (plus best-fit placement, which\nlost to first-fit) on minimalloc challenging/small, tiling, pinwheel,\nand RandomSource instances. Two additions carry their weight:\n\n- greedy_by_conflict_size: conflict degree x size, best solo variant\n- greedy_by_start: start asc \n[…]\n-all ensembles, cutting the best-of\nmean gap vs the max-load lower bound from 1.205 to 1.146 on held-out\ninstances. The duplicated conflict-degree loop is now a shared\ncompute_conflict_degrees helper.",
          "is_bot": false,
          "headline": "Add conflict-size and start-order greedy heuristics (#17)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-02T11:55:13Z",
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          "body": "The undo path searched for a mismatch between pos_map and alloc_list via\nnext(...) without a default. Because pos_map is kept in sync with\nalloc_list after every swap, the generator was empty whenever simulated\nannealing rejected a step, raising StopIteration and aborting allocation.\n\nTrack the last\n[…]\n\nreverted ordering. Add allocator unit tests and a HighContentionSource\nregression case that reproduces the crash on rejected steps.\n\nCo-authored-by: Fabian Peddinghaus <fabian.peddinghaus@axelera.ai>",
          "is_bot": false,
          "headline": "Fix StopIteration in hill climb allocator on rejected steps (#16)",
          "author_name": "Alex Belke",
          "author_login": "axblk",
          "committed_at": "2026-07-02T11:18:46Z",
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          "oid": "d6b491b2c7e2460945300e8ec6989d7f621fbe32",
          "body": "Add two reverse-constructed benchmark sources with a known, tight optimum,\nsharing a TilingBase that recursively splits a capacity x makespan rectangle\ninto leaf tiles (peak pressure == capacity, a provably achievable lower bound):\n\n- TilingSource: guillotine cuts (edge-to-edge), mem_cut_prob tunes contention\n- PinwheelSource: non-guillotine pinwheel splits, an adversarial variant that\n  defeats decomposition/canonical-guillotine shortcuts",
          "is_bot": false,
          "headline": "Add tiling and pinwheel benchmark sources (#14)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-02T11:00:50Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ea3f1e8bb98667b4c436d86dbe499cf89e00e03b",
          "body": "Introduce GreedyByAllAllocator and its C++ counterpart, which run every\ngreedy variant and keep the result with the smallest peak memory via a\nshared allocate_best_of helper.",
          "is_bot": false,
          "headline": "Add greedy-by-all allocator and bump version to 0.4.0 (#13)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-06-18T14:21:43Z",
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        {
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          "body": "Replace MinimallocSource(file_path=...) with a MinimallocSubset enum\n(\"examples\", \"small\", \"challenging\"). Adds the bundled \"small\" CSVs\nthat previously had no corresponding subset.",
          "is_bot": false,
          "headline": "Add 'small' minimalloc subset and switch source to enum selection (#12)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
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          "headline": "Sync uv.lock to version 0.3.0 (#9)",
          "author_name": "Fabian Peddinghaus",
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          "headline": "Add pytest log_cli config and ignore PLW2901 (#8)",
          "author_name": "Fabian Peddinghaus",
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          "headline": "Bump version to 0.3.0",
          "author_name": "Fabian Peddinghaus",
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          "body": "Add comments linking the C++ and Python IdType definitions to each\nother, and fix a missing word in the Registered mixin docstring.",
          "is_bot": false,
          "headline": "Add IdType cross-reference comments and fix registry docstring (#4)",
          "author_name": "Fabian Peddinghaus",
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          "is_bot": false,
          "headline": "Expand CI build matrix to Ubuntu ARM, macOS, and Windows (#2)",
          "author_name": "Fabian Peddinghaus",
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          "headline": "Initial commit",
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                "details": [],
                "max_points": 15
              }
            ]
          },
          {
            "key": "stewardship",
            "band": "moderate",
            "name": "Ownership & stewardship",
            "note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "verified_domain"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 53,
            "inputs": {
              "followers": 14,
              "owner_type": "User",
              "is_verified": null,
              "owner_login": "fpedd",
              "public_repos": 42,
              "account_age_days": 3467
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "personal (user) account",
                "points": 10,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_personal",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": "not applicable to user accounts",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "not_applicable_to_user_accounts",
                    "params": {}
                  }
                ],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "14 followers of fpedd",
                "points": 8.5,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 14,
                      "login": "fpedd"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "42 public repos, account ~9 yr old",
                "points": 23.9,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 42
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 9
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "omnimalloc"
              ],
              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 39
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 39 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 39
                    }
                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "5 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 5
                    }
                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 76,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "excellent",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 94,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
              "has_linter_config": true,
              "has_precommit_config": true
            },
            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "2 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 2
                    }
                  }
                ],
                "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": null,
                "points": 16,
                "status": "met",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "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": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "moderate",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 50,
            "inputs": {
              "topics": [],
              "has_wiki": true,
              "homepage": null,
              "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": null,
                "points": 0,
                "status": "missed",
                "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": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 53,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 41,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 17,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 1,
              "scorecard_aggregate": 4.1
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "branch protection is not maximal on development and all release branches",
                "points": 3.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 1/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 1 contributing companies or organizations -- score normalized to 3",
                "points": 0.8,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "69 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:omnimalloc@0.4.0 runtime dependency closure — what installing the published package pulls in — 2 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:omnimalloc@0.4.0",
                  "assessed": 2
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 2,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "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": 2,
              "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": 52,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.946,
              "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": "35 of 37 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 35,
                      "sampled": 37
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 54,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "src/python/omnimalloc/py.typed"
              ],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "src/python/omnimalloc/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "src/python/omnimalloc/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 37",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 37
                    }
                  }
                ],
                "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": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 38388,
              "source_files_sampled": 174,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (src/python/omnimalloc/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "src/python/omnimalloc/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/174 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
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        "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."
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    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
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}

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 StatistikenPyPI.