Public recordModerate
Software health reportschema 0.27.0 · metrics 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 holds a health index of 51 out of 100, placing it in the Moderate band. It scores highest on Sustainability & Governance (69/100) and lowest on Security (16/100). It was last updated 99 days ago. 2 contributors account for most of its recent work.
51
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
51
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
Ownership
Bytedance Inc.Organization
18,616 followers414 public repossince Apr 2013
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
41
Development activity
33At risk
How it's scored
| 9.9/36 | Push recency — last push 99 days ago |
| 6.9/36 | Commit cadence — 10/52 weeks with commits |
| 13.3/18 | Commit volume — 29 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 29 |
| human_commit_share | 1 |
| days_since_last_push | 99 |
| active_weeks_last_year | 10 |
Release discipline
52Moderate
How it's scored
| 27/27 | Ships releases — 1 releases published |
| 7.2/36 | Release recency — latest release 703 days ago |
| 12.6/27 | Release cadence — cadence unknown (single release) |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 1 |
| latest_release_tag | v1.0.0 |
| releases_from_tags | no |
| days_since_latest_release | 703 |
| mean_days_between_releases | — |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
67
Popularity & adoption
65Moderate
How it's scored
| 41.6/60 | Stars — 370 stars |
| 17.6/25 | Forks — 130 forks |
| 5.8/15 | Watchers — 12 watchers |
Inputs used
| forks | 130 |
| stars | 370 |
| watchers | 12 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
70Good
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (Apache-2.0) |
| 18/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
69
Maintainer resilience (bus factor)
58Moderate
How it's scored
| 25.2/54 | Bus factor — 2 contributor(s) cover half of all commits |
| 13.9/22.5 | Commit distribution — top contributor authored 38% of commits |
| 13.5/13.5 | Contributor breadth — 15 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
Inputs used
| bus_factor | 2 |
| contributors_sampled | 15 |
| top_contributor_share | 0.382 |
How it's scored
| 31.8/46.8 | Issue resolution — 68% of issues closed |
| 29.8/38.3 | PR acceptance — 88/113 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 88 |
| open_issues | 24 |
| closed_issues | 51 |
| issue_closed_ratio | 0.68 |
| closed_unmerged_prs | 25 |
Ownership & stewardship
80Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 25/25 | Owner reach — 18,616 followers of bytedance |
| 25/25 | Track record — 414 public repos, account ~13 yr old |
Inputs used
| followers | 18,616 |
| owner_type | Organization |
| is_verified | — |
| owner_login | bytedance |
| public_repos | 414 |
| account_age_days | 4,854 |
Engineering Quality
Are baseline engineering and documentation practices in place?
56
Engineering practices
50Moderate
How it's scored
| 0/24 | CI workflows |
| 24/24 | Tests present |
| 16/16 | Linter config — .flake8, .pylintrc |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | no |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | no |
Documentation
65Moderate
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://xpu-perf.ai/ |
| 10/10 | Repository description |
| 10/10 | Topics — 1 topics |
| 0/10 | Wiki |
Inputs used
| topics | python |
| has_wiki | no |
| homepage | https://xpu-perf.ai/ |
| has_readme | yes |
| has_docs_dir | no |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
16
Security posture
1Critical
How it's scored
| 0/30 | Security policy (SECURITY.md) |
| 0/25 | Dependabot config |
| 0/25 | Dependency lockfiles |
| 0/20 | CodeQL workflow |
Inputs used
| source | file_signals |
| lockfiles | — |
| manifests | pyproject.toml |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
Dependency advisories
74Good
How it's scored
| 20.2/35 | Direct dependencies free of known advisories — 1 affected: numpy 1.19.2 (moderate 5.3) |
| 0/25 | Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope |
| 35.3/40 | No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 1,685 days ago |
Inputs used
| 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 |
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.
AI Readiness
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.
62
Agent context & guidance
20Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 19.7/40 | Legible commit history — 37 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.37 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 18/18 | One-command bootstrap — projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — .flake8, .pylintrc |
| 11/11 | Static type checking — projects/train_perf/Megatron-LM/mypy.ini |
| 10/10 | Reproducible environment — Dockerfile |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 100 |
| 0/8 | Automated maintenance — no automated dependency updates observed |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — no data |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | projects/train_perf/Megatron-LM/mypy.ini |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (projects/train_perf/Megatron-LM/mypy.ini) |
| 54.4/55 | Manageable file sizes — 8/757 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 132,791 |
| source_files_sampled | 757 |
| oversized_source_files | 8 |
How it's scored
| 40/40 | API schema (OpenAPI/GraphQL/proto) — projects/infer_perf/llm_perf/server/server.proto |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples, recipes |
Inputs used
| example_dirs | examples, recipes |
| has_mcp_signal | no |
| api_schema_files | projects/infer_perf/llm_perf/server/server.proto |
Key facts
370GitHub stars
15contributors
29commits, last 12 months
99days since last push
1releases
2bus factor
24open issues
PyPIpackage ecosystems
Data collection 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
More detail
Star and fork history 0 ★ / 130 ⇿
0Stars
130Forks
1Releases
When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.
Major 1Minor 0Patch 0
Each point covers 3 days.
Direct dependencies 5
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | prettytable | — | pyproject.toml |
| PyPI | jsonlines | — | pyproject.toml |
| PyPI | flask | — | pyproject.toml |
| PyPI | requests | — | pyproject.toml |
| PyPI | numpy | <=1.26.4 | pyproject.toml |
All dependencies 90
Full resolved dependency set from the GitHub dependency graph: 8 direct and 82 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | flask | — | direct |
| PyPI | jsonlines | — | direct |
| PyPI | numpy | — | direct |
| PyPI | numpy | 1.19.2 | direct |
| PyPI | numpy | 1.23.0 | direct |
| PyPI | numpy | 1.23.4 | direct |
| PyPI | prettytable | — | direct |
| PyPI | requests | — | direct |
| PyPI | accelerate | — | indirect |
| PyPI | attrs | 21.2.0 | indirect |
| PyPI | backoff | — | indirect |
| PyPI | bert | — | indirect |
| PyPI | bert-tensorflow | 1.0.1 | indirect |
| PyPI | black | 23.1.0 | indirect |
| PyPI | decorator | — | indirect |
| PyPI | einops | — | indirect |
| PyPI | flask-restful | — | indirect |
| PyPI | fpdf | — | indirect |
| PyPI | google-api-python-client | — | indirect |
| PyPI | google-cloud-core | 2.3.2 | indirect |
| PyPI | graphviz | 0.8.4 | indirect |
| PyPI | grpcio | — | indirect |
| PyPI | isort | — | indirect |
| PyPI | keras2onnx | — | indirect |
| PyPI | matplotlib | — | indirect |
| PyPI | matplotlib | 3.3.4 | indirect |
| PyPI | matplotlib | 3.4.2 | indirect |
| PyPI | multipledispatch | — | indirect |
| PyPI | mypy-protobuf | 2.8 | indirect |
| PyPI | nltk | — | indirect |
| PyPI | nvidia-modelopt | — | indirect |
| PyPI | onnx | — | indirect |
| PyPI | onnx | 1.12.0 | indirect |
| PyPI | onnx | 1.13.1 | indirect |
| PyPI | onnxconverter-common | 1.12.2 | indirect |
| PyPI | onnxruntime | — | indirect |
| PyPI | onnxruntime | 1.12.0 | indirect |
| PyPI | opencv-python | — | indirect |
| PyPI | opencv-python-headless | — | indirect |
| PyPI | packaging | — | indirect |
| PyPI | pandas | — | indirect |
| PyPI | pandas | 1.3.3 | indirect |
| PyPI | pandas | 1.5.1 | indirect |
| PyPI | prompt-toolkit | — | indirect |
| PyPI | protobuf | — | indirect |
| PyPI | protobuf | 3.19.4 | indirect |
| PyPI | protobuf | 3.19.6 | indirect |
| PyPI | protobuf | 3.20.2 | indirect |
| PyPI | psutil | — | indirect |
| PyPI | pulp | — | indirect |
| PyPI | pybind11 | — | indirect |
| PyPI | pydot | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest-cov | — | indirect |
| PyPI | pytest-mock | — | indirect |
| PyPI | pytest-random-order | — | indirect |
| PyPI | pyyaml | — | indirect |
| PyPI | scikit-learn | — | indirect |
| PyPI | scipy | — | indirect |
| PyPI | sentencepiece | — | indirect |
| PyPI | sentencepiece | 0.1.96 | indirect |
| PyPI | setuptools | 67.5 | indirect |
| PyPI | synr | 0.4 | indirect |
| PyPI | tensorflow | — | indirect |
| PyPI | tensorflow | 1.15.0 | indirect |
| PyPI | tensorflow | 2.4.0 | indirect |
| PyPI | tensorflow | 2.7.2 | indirect |
| PyPI | tensorflow | 2.8.4 | indirect |
| PyPI | tensorflow-datasets | 4.7.0 | indirect |
| PyPI | tensorstore | — | indirect |
| PyPI | tf2onnx | — | indirect |
| PyPI | tiktoken | — | indirect |
| PyPI | tokenization | — | indirect |
| PyPI | torch | — | indirect |
| PyPI | torch | 1.12.1 | indirect |
| PyPI | torch | 1.13.1 | indirect |
| PyPI | torch | 1.9.1 | indirect |
| PyPI | torchvision | — | indirect |
| PyPI | torchvision | 0.10.1 | indirect |
| PyPI | torchvision | 0.13.1 | indirect |
| PyPI | tqdm | — | indirect |
| PyPI | transformers | — | indirect |
| PyPI | transformers | 4.40.0 | indirect |
| PyPI | triton | 2.1.0 | indirect |
| PyPI | typing-extensions | 3.7.4.3 | indirect |
| PyPI | virtualenv | 16.7.9 | indirect |
| PyPI | wandb | — | indirect |
| PyPI | wrapt | — | indirect |
| PyPI | wrapt | 1.14.1 | indirect |
| PyPI | zarr | — | indirect |
Dependency advisories 18
This repository publishes no package the index resolves, so its own dependency graph was assessed — 38 packages, which also include development and test pins that never ship: 18 carry known advisories, of which 1 are direct. 52 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.
| Package | Version | Relation | Severity | Advisories | Fixed in |
|---|---|---|---|---|---|
| black | 23.1.0 | indirect | critical | 5 | 26.3.1 |
| onnx | 1.12.0 | indirect | critical | 24 | 1.22.0 |
| onnx | 1.13.1 | indirect | critical | 22 | 1.22.0 |
| tensorflow | 1.15.0 | indirect | critical | 745 | 2.11.1 |
| tensorflow | 2.4.0 | indirect | critical | 760 | 2.11.1 |
| torch | 1.12.1 | indirect | critical | 30 | 2.13.0 |
| torch | 1.13.1 | indirect | critical | 28 | 2.13.0 |
| torch | 1.9.1 | indirect | critical | 30 | 2.13.0 |
| transformers | 4.40.0 | indirect | critical | 42 | 5.5.0 |
| protobuf | 3.19.4 | indirect | high | 6 | 6.33.5 |
| protobuf | 3.19.6 | indirect | high | 4 | 6.33.5 |
| protobuf | 3.20.2 | indirect | high | 4 | 6.33.5 |
| sentencepiece | 0.1.96 | indirect | high | 2 | 0.2.1 |
| setuptools | 67.5 | indirect | high | 6 | 83.0.0 |
| tensorflow | 2.7.2 | indirect | high | 94 | 2.11.1 |
| tensorflow | 2.8.4 | indirect | high | 46 | 2.11.1 |
| numpy | 1.19.2 | direct | moderate | 2 | 1.22 |
| virtualenv | 16.7.9 | indirect | moderate | 4 | 20.36.1 |
An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.
Raw JSON report machine-readable
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}Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics.