Public recordGood
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-26 09:25 UTC
kozistr / pytorch_optimizer
optimizer & lr scheduler & loss function collections in PyTorch
kozistr/pytorch_optimizer holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Vitality (86/100) and lowest on Sustainability & Governance (67/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.
75
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.
75
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
Hyeongchan KimPersonal account
178 followers37 public repossince Oct 2015
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Package ecosystems
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
86
Development activity
77Good
How it's scored
| 36/36 | Push recency — last push 1 days ago |
| 15.9/36 | Commit cadence — 23/52 weeks with commits |
| 17.6/18 | Commit volume — 89 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 89 |
| human_commit_share | 1 |
| days_since_last_push | 1 |
| active_weeks_last_year | 23 |
Release discipline
100Excellent
How it's scored
| 27/27 | Ships releases — 92 releases published |
| 36/36 | Release recency — latest release 63 days ago |
| 27/27 | Release cadence — a release every ~43.5 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 92 |
| latest_release_tag | v3.10.1 |
| releases_from_tags | no |
| days_since_latest_release | 63 |
| mean_days_between_releases | 43.5 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
75
Popularity & adoption
60Moderate
How it's scored
| 42.6/60 | Stars — 421 stars |
| 13.4/25 | Forks — 42 forks |
| 3.9/15 | Watchers — 6 watchers |
Inputs used
| forks | 42 |
| stars | 421 |
| watchers | 6 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
92Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (Apache-2.0) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
67
Maintainer resilience (bus factor)
25Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 0.2/22.5 | Commit distribution — top contributor authored 99% of commits |
| 13.5/13.5 | Contributor breadth — 15 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 15 |
| top_contributor_share | 0.992 |
Issue & PR responsiveness
95Excellent
How it's scored
| 44.4/46.8 | Issue resolution — 95% of issues closed |
| 36.1/38.3 | PR acceptance — 350/371 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 350 |
| open_issues | 7 |
| closed_issues | 133 |
| issue_closed_ratio | 0.95 |
| closed_unmerged_prs | 21 |
Ownership & stewardship
62Moderate
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 16.2/25 | Owner reach — 178 followers of kozistr |
| 23.5/25 | Track record — 37 public repos, account ~10 yr old |
Inputs used
| followers | 178 |
| owner_type | User |
| is_verified | — |
| owner_login | kozistr |
| public_repos | 37 |
| account_age_days | 3,924 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 63 days ago |
| 20/20 | Version history — 91 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | pytorch_optimizer |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 63 |
Engineering Quality
Are baseline engineering and documentation practices in place?
72
Engineering practices
60Moderate
How it's scored
| 24/24 | CI workflows — 7 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://pytorch-optimizers.readthedocs.io/en/latest/ |
| 10/10 | Repository description |
| 10/10 | Topics — 19 topics |
| 0/10 | Wiki |
Inputs used
| topics | optimizer, pytorch, ranger, adamp, radam, madgrad, adabelief, sam, lookahead, deep-learning, diffgrad, adan, gradient-centralization, adai, learning-rate-scheduling, loss-functions, ademamix, muon, scion |
| has_wiki | no |
| homepage | https://pytorch-optimizers.readthedocs.io/en/latest/ |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
74
Security posture
67Moderate
How it's scored
| 30/30 | Security policy (SECURITY.md) |
| 0/25 | Dependabot config |
| 0/25 | Dependency lockfiles — published library — lockfiles are an application concern, not expected |
| 20/20 | CodeQL workflow |
Inputs used
| source | file_signals |
| lockfiles | uv.lock |
| manifests | pyproject.toml, requirements-docs.txt |
| has_codeql_workflow | yes |
| has_security_policy | yes |
| has_dependabot_config | no |
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.
Dependency advisories
100Excellent
How it's scored
| 35/35 | Direct dependencies free of known advisories — no direct dependency carries a known advisory |
| 25/25 | Indirect dependencies free of known advisories — no indirect dependency carries a known advisory |
| 0/40 | No advisories left outstanding — no advisory carries a publication date |
Inputs used
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 2 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pytorch_optimizer@3.10.1 runtime dependency closure — what installing the published package pulls in — 2 packages. 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.
71
Agent context & guidance
85Excellent
How it's scored
| 45/45 | Agent instructions — CLAUDE.md |
| 0/15 | Machine-readable docs (llms.txt) |
| 40/40 | Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 1 |
| agent_instruction_files | CLAUDE.md |
| agent_instruction_max_bytes | 4,881 |
Verify loop (build / test / typecheck)
68Moderate
How it's scored
| 18/18 | One-command bootstrap — Makefile |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 11/11 | Static type checking — pytorch_optimizer/py.typed |
| 10/10 | Reproducible environment — lockfile |
| 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 | uv.lock |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | Makefile |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | pytorch_optimizer/py.typed |
| 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 (pytorch_optimizer/py.typed) |
| 55/55 | Manageable file sizes — 0/159 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 35,314 |
| source_files_sampled | 159 |
| oversized_source_files | 0 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples |
Inputs used
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
421GitHub stars
15contributors
89commits, last 12 months
1days since last push
92releases
1bus factor
7open issues
PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks
More detail
Star and fork history 0 ★ / 42 ⇿
0Stars
42Forks
80Releases
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 3Minor 30Patch 47
Each point covers 5 days.
Direct dependencies 5
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | numpy | >1.24.4 | pyproject.toml |
| PyPI | numpy | <=1.24.4 | pyproject.toml |
| PyPI | torch | >=1.10,<2.5 | pyproject.toml |
| PyPI | torch | >=1.10,<2.9 | pyproject.toml |
| PyPI | torch | >=1.10 | pyproject.toml |
All dependencies 41
Full resolved dependency set from the GitHub dependency graph: 3 direct and 38 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | numpy | — | direct |
| PyPI | numpy | 1.24.4 | direct |
| PyPI | torch | 2.4.1 | direct |
| PyPI | black | 24.8.0 | indirect |
| PyPI | click | 8.1.8 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | coverage | 7.6.1 | indirect |
| PyPI | exceptiongroup | 1.3.1 | indirect |
| PyPI | filelock | 3.16.1 | indirect |
| PyPI | fsspec | 2025.3.0 | indirect |
| PyPI | hatchling | — | indirect |
| PyPI | iniconfig | 2.1.0 | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | markdown-include | 0.8.1 | indirect |
| PyPI | markupsafe | 2.1.5 | indirect |
| PyPI | mdx-truly-sane-lists | 1.3 | indirect |
| PyPI | mkdocs | 1.6.1 | indirect |
| PyPI | mkdocs-awesome-nav | 3.3.0 | indirect |
| PyPI | mkdocs-git-revision-date-localized-plugin | 1.5.1 | indirect |
| PyPI | mkdocs-material | 9.7.6 | indirect |
| PyPI | mkdocstrings-python | 2.0.3 | indirect |
| PyPI | mpmath | 1.3.0 | indirect |
| PyPI | mypy-extensions | 1.1.0 | indirect |
| PyPI | networkx | 3.1 | indirect |
| PyPI | nodeenv | 1.10.0 | indirect |
| PyPI | packaging | 26.0 | indirect |
| PyPI | pathspec | 0.12.1 | indirect |
| PyPI | platformdirs | 4.3.6 | indirect |
| PyPI | pluggy | 1.5.0 | indirect |
| PyPI | pygments | 2.19.2 | indirect |
| PyPI | pymdown-extensions | 10.21.2 | indirect |
| PyPI | pyright | 1.1.408 | indirect |
| PyPI | pytest | 8.3.5 | indirect |
| PyPI | pytest-cov | 5.0.0 | indirect |
| PyPI | pytokens | 0.4.1 | indirect |
| PyPI | pytorch-optimizer | 3.10.1 | indirect |
| PyPI | ruff | 0.15.4 | indirect |
| PyPI | setuptools | 82.0.0 | indirect |
| PyPI | sympy | 1.13.3 | indirect |
| PyPI | tomli | 2.4.0 | indirect |
| PyPI | typing-extensions | 4.13.2 | indirect |
Dependency advisories 0
Installing pypi:pytorch_optimizer@3.10.1 pulls in 2 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.
No known advisories affect the assessed dependencies.
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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"author_name": "kozistr",
"author_login": "kozistr",
"committed_at": "2025-08-13T14:12:28Z",
"body_truncated": false,
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{
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"is_bot": false,
"headline": "[Release] v3.8.0 (#419)",
"author_name": "Hyeongchan Kim",
"author_login": "kozistr",
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"body_truncated": false,
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"is_bot": false,
"headline": "[Feature] Implement `DistributedMuon` optimizer (#418)",
"author_name": "Hyeongchan Kim",
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"body_truncated": false,
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"is_bot": false,
"headline": "[Feature] Support `cautious` variant for `Muon` optimizer (#417)",
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"body_truncated": false,
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"is_bot": false,
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"author_name": "Aidin",
"author_login": "AidinHamedi",
"committed_at": "2025-08-10T12:38:16Z",
"body_truncated": false,
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"is_bot": false,
"headline": "[Update] lots of stuff (#415)",
"author_name": "Hyeongchan Kim",
"author_login": "kozistr",
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"body_truncated": true,
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"is_bot": false,
"headline": "[Feature] Implement `Refined Schedule-Free AdamW` optimizer (#414)",
"author_name": "Hyeongchan Kim",
"author_login": "kozistr",
"committed_at": "2025-08-09T15:49:25Z",
"body_truncated": false,
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{
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"body": "* ci: rename to copy_readme\n\n* build(ci): pr_labeler action",
"is_bot": false,
"headline": "[CI] Add `pr_labeler` github action (#413)",
"author_name": "Hyeongchan Kim",
"author_login": "kozistr",
"committed_at": "2025-08-09T15:20:58Z",
"body_truncated": false,
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},
{
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"is_bot": false,
"headline": "[CI] Copy `README.md` to `/docs/index.md` automatically (#412)",
"author_name": "Hyeongchan Kim",
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"body_truncated": false,
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"is_bot": false,
"headline": "[Feature] Prepend the changelog automatically (#411)",
"author_name": "Hyeongchan Kim",
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"body_truncated": false,
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"body": "* docs: v3.8.0 changelog\n\n* build(deps): packages\n\n* update: reimplement Muon and AdaMuon optimizers\n\n* update: test cases\n\n* update: test_complex_not_supported\n\n* update: test_muon_no_gradient\n\n* update: Muon recipes\n\n* feature: implement prepare_muon_parameters\n\n* update: prepare Muon parameters\n\n* update: test_create_optimizer\n\n* update: BETA_OPTIMIZER_NAMES\n\n* docs: v3.8.0 changelog",
"is_bot": false,
"headline": "[Update] Re-implement `Muon` and `AdaMuon` optimizers (#410)",
"author_name": "Hyeongchan Kim",
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{
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"body": "* feature: EmoNeco, EmoZeal optimizers\n\n* update: EmoNeco, EmoZeal optimizers\n\n* update: test cases\n\n* docs: README\n\n* chore: keywords\n\n* docs: v3.7.1 changelog\n\n* docs: EmoNeco, EmoZeal optimizers\n\n* add: visualizations\n\n* docs: visualization\n\n* update: recipes\n\n* update: recipes",
"is_bot": false,
"headline": "[Feature] Implement `EmoNeco` and `EmoZeal` optimizers (#407)",
"author_name": "Hyeongchan Kim",
"author_login": "kozistr",
"committed_at": "2025-08-02T12:48:51Z",
"body_truncated": false,
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{
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"body": "* docs: changelog\n\n* docs: PR template\n\n* refactor: semgrep report\n\n* docs: PR template\n\n* build(ci): update codecov-action version to v5\n\n* build(ci): CodeQL\n\n* docs: README",
"is_bot": false,
"headline": "[Update] stuff (#406)",
"author_name": "Hyeongchan Kim",
"author_login": "kozistr",
"committed_at": "2025-07-31T13:39:42Z",
"body_truncated": false,
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"is_bot": false,
"headline": "[Release] v3.7.0 (#405)",
"author_name": "Hyeongchan Kim",
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"headline": "[Fix] type-hint (#404)",
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"oid": "59522ccb5527629a890184df3d87f615ea2eb98c",
"body": "Hi! Just checking out your project and I've noticed that you claim to support `>= 3.8`, but you never check other versions except 3.12 in CI.\r\n\r\nhttps://github.com/kozistr/pytorch_optimizer/blob/3c02a48389c065f060a26e5486f7e702ff9fd17c/pyproject.toml#L33-L39\r\n\r\nI think that it is important to be sure all version work :)\r\nThey can have different bugs.",
"is_bot": false,
"headline": "Test all versions in CI (#401)",
"author_name": "sobolevn",
"author_login": "sobolevn",
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"is_bot": false,
"headline": "[Feature] Implement `EmoNavi`, `EmoFact`, and `EmoLynx` optimizers (#…",
"author_name": "Hyeongchan Kim",
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"is_bot": false,
"headline": "[Feature] Implement SPlus optimizer (#399)",
"author_name": "Hyeongchan Kim",
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"is_bot": false,
"headline": "[Fix] Use a smaller `eps` value when adding to `exp_avg_sq` in `apply…",
"author_name": "Hyeongchan Kim",
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"body_truncated": false,
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"is_bot": false,
"headline": "[Feature] Implement `AdaMuon` optimizer (#395)",
"author_name": "Hyeongchan Kim",
"author_login": "kozistr",
"committed_at": "2025-07-20T12:43:51Z",
"body_truncated": false,
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"is_bot": false,
"headline": "[Release] v3.6.1 (#392)",
"author_name": "Hyeongchan Kim",
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"body_truncated": false,
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"is_bot": false,
"headline": "[Feature] Implement AdamC optimizer (#390)",
"author_name": "Hyeongchan Kim",
"author_login": "kozistr",
"committed_at": "2025-06-12T06:18:31Z",
"body_truncated": false,
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"is_bot": false,
"headline": "[Feature] Implment more cooldown types for WSD lr scheduler (#386)",
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"latest_release_at": "2026-05-23T13:56:51Z",
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"mean_days_between_releases": 43.5
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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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},
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"OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks"
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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 — PyPI.