Public recordGood
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-17 15:01 UTC
swanhubx / swanlab
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
swanhubx/swanlab holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Vitality (92/100) and lowest on AI Readiness (44/100). It was last updated 1 day ago. 2 contributors account for most of its recent work.
77
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.
77
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
SwanLabOrganization
137 followers14 public repossince Mar 2023
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | swanlab | 0.9.0 | 214,937 | 64 | 1 day ago | machine-learningreproducibilityvisualization |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
92
Development activity
94Excellent
How it's scored
| 36/36 | Push recency — last push 1 days ago |
| 30.5/36 | Commit cadence — 44/52 weeks with commits |
| 18/18 | Commit volume — 269 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 269 |
| human_commit_share | — |
| days_since_last_push | 1 |
| active_weeks_last_year | 44 |
Release discipline
90Excellent
How it's scored
| 27/27 | Ships releases — 100 releases published |
| 36/36 | Release recency — latest release 1 days ago |
| 27/27 | Release cadence — a release every ~4.5 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Inputs used
| releases_count | 100 |
| latest_release_tag | v0.9.0 |
| releases_from_tags | no |
| days_since_latest_release | 1 |
| mean_days_between_releases | 4.5 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
88
Popularity & adoption
84Good
How it's scored
| 58.5/60 | Stars — 4,064 stars |
| 19.4/25 | Forks — 211 forks |
| 5.6/15 | Watchers — 11 watchers |
Inputs used
| forks | 211 |
| stars | 4,064 |
| watchers | 11 |
| 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 |
Ecosystem adoption (downloads)
89Excellent
How it's scored
| 71.1/80 | Monthly downloads — 214,937 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | swanlab |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 214,937 |
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
76
Maintainer resilience (bus factor)
60Moderate
How it's scored
| 25.2/54 | Bus factor — 2 contributor(s) cover half of all commits |
| 11.6/22.5 | Commit distribution — top contributor authored 48% of commits |
| 13.5/13.5 | Contributor breadth — 41 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations |
Inputs used
| bus_factor | 2 |
| contributors_sampled | 41 |
| top_contributor_share | 0.485 |
Issue & PR responsiveness
90Excellent
How it's scored
| 43.3/46.8 | Issue resolution — 93% of issues closed |
| 36.5/38.3 | PR acceptance — 875/918 decided PRs merged |
| 10.5/15 | OpenSSF Scorecard: Code-Review — Found 21/30 approved changesets -- score normalized to 7 |
Inputs used
| merged_prs | 875 |
| open_issues | 55 |
| closed_issues | 686 |
| issue_closed_ratio | 0.926 |
| closed_unmerged_prs | 43 |
Ownership & stewardship
61Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 15.4/25 | Owner reach — 137 followers of SwanHubX |
| 15.2/25 | Track record — 14 public repos, account ~3 yr old |
Inputs used
| followers | 137 |
| owner_type | Organization |
| is_verified | — |
| owner_login | SwanHubX |
| public_repos | 14 |
| account_age_days | 1,221 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 1 days ago |
| 20/20 | Version history — 64 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | swanlab |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 1 |
Engineering Quality
Are baseline engineering and documentation practices in place?
78
Engineering practices
86Excellent
How it's scored
| 24/24 | CI workflows — 2 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 12/20 | OpenSSF Scorecard: CI-Tests — 20 out of 30 merged PRs checked by a CI test -- score normalized to 6 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
65Moderate
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://swanlab.cn |
| 10/10 | Repository description |
| 10/10 | Topics — 16 topics |
| 0/10 | Wiki |
Inputs used
| topics | data-science, deep-learning, machine-learning, python, pytorch, tensorflow, transformers, mlops, model-versioning, tracking, visualization, tensorboard, logging, llm, training, ai-infra |
| has_wiki | no |
| homepage | https://swanlab.cn |
| 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?
46
Security posture
46At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 1.5/2.5 | CI-Tests — 20 out of 30 merged PRs checked by a CI test -- score normalized to 6 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 5.2/7.5 | Code-Review — Found 21/30 approved changesets -- score normalized to 7 |
| 2.5/2.5 | Contributors — project has 12 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — no data |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 58 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 4.5 |
Excluded from scoring (no data or not applicable): packaging. Remaining weights renormalized.
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.
44
Agent context & guidance
1Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
| 18/18 | One-command bootstrap — Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — lockfile |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
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 | yes |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
Code legibility for models
55Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 55/55 | Manageable file sizes — 0/414 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 45,666 |
| source_files_sampled | 414 |
| oversized_source_files | 0 |
Machine-readable interfaces
40At risk
How it's scored
| 40/40 | API schema (OpenAPI/GraphQL/proto) — protos/swanlab/grpc/core/v1/core.proto, protos/swanlab/grpc/core/v1/sync.proto, protos/swanlab/grpc/probe/v1/probe.proto, protos/swanlab/metric/column/v1/column.proto, protos/swanlab/metric/data/v1/data.proto, protos/swanlab/operation/v1/operation.proto, protos/swanlab/probe/v1/metadata.proto, protos/swanlab/record/v1/record.proto, protos/swanlab/run/v1/run.proto, protos/swanlab/save/v1/save.proto, protos/swanlab/settings/core/v1/core.proto, protos/swanlab/settings/probe/v1/probe.proto, protos/swanlab/terminal/v1/log.proto |
| 0/20 | MCP server |
| 0/40 | Runnable examples |
Inputs used
| example_dirs | — |
| has_mcp_signal | no |
| api_schema_files | protos/swanlab/grpc/core/v1/core.proto, protos/swanlab/grpc/core/v1/sync.proto, protos/swanlab/grpc/probe/v1/probe.proto, protos/swanlab/metric/column/v1/column.proto, protos/swanlab/metric/data/v1/data.proto, protos/swanlab/operation/v1/operation.proto, protos/swanlab/probe/v1/metadata.proto, protos/swanlab/record/v1/record.proto, protos/swanlab/run/v1/run.proto, protos/swanlab/save/v1/save.proto, protos/swanlab/settings/core/v1/core.proto, protos/swanlab/settings/probe/v1/probe.proto, protos/swanlab/terminal/v1/log.proto |
Key facts
4,064GitHub stars
41contributors
269commits, last 12 months
1days since last push
100releases
2bus factor
55open issues
npm, PyPIpackage ecosystems
Data collection warnings
- Could not fetch npm package 'swanlab' from its registry
More detail
OpenSSF Scorecard 4.5 / 10
4.5aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 5 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 6 | CI-Tests | 20 out of 30 merged PRs checked by a CI test -- score normalized to 6 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 7 | Code-Review | Found 21/30 approved changesets -- score normalized to 7 |
| 10 | Contributors | project has 12 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10 |
| n/a | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 10 | Security-Policy | security policy file detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 58 existing vulnerabilities detected |
Direct dependencies 20
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | urllib3 | >=1.26.0 | pyproject.toml |
| PyPI | requests | >=2.28.0 | pyproject.toml |
| PyPI | setuptools | — | pyproject.toml |
| PyPI | click | — | pyproject.toml |
| PyPI | pyyaml | — | pyproject.toml |
| PyPI | psutil | >=5.0.0 | pyproject.toml |
| PyPI | nvidia-ml-py | — | pyproject.toml |
| PyPI | pydantic | ~=2.0 | pyproject.toml |
| PyPI | pyecharts | >=2.0.0 | pyproject.toml |
| PyPI | wrapt | >=1.17.0 | pyproject.toml |
| PyPI | platformdirs | >=4.2.0 | pyproject.toml |
| PyPI | protobuf | >=6.31.1,!=6.31.0,<7 | pyproject.toml |
| PyPI | protobuf | >=6.31.1,!=6.31.0,<7 | pyproject.toml |
| PyPI | protobuf | >=6.31.1,!=6.31.0,<7 | pyproject.toml |
| PyPI | rich | >=13.6.0 | pyproject.toml |
| PyPI | pydantic-settings | >=2.8.1 | pyproject.toml |
| PyPI | orjson | <=3.11.5 | pyproject.toml |
| PyPI | orjson | — | pyproject.toml |
| PyPI | watchdog | — | pyproject.toml |
| PyPI | pwinput | >=1.0.3 | pyproject.toml |
All dependencies 210
Full resolved dependency set from the GitHub dependency graph: 22 direct and 188 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | click | 8.1.8 | direct |
| PyPI | click | 8.3.1 | direct |
| PyPI | nvidia-ml-py | 13.590.48 | direct |
| PyPI | orjson | 3.11.5 | direct |
| PyPI | orjson | 3.11.8 | direct |
| PyPI | platformdirs | 4.4.0 | direct |
| PyPI | platformdirs | 4.9.2 | direct |
| PyPI | protobuf | 6.33.5 | direct |
| PyPI | psutil | 7.2.2 | direct |
| PyPI | pwinput | 1.0.3 | direct |
| PyPI | pydantic | 2.12.5 | direct |
| PyPI | pydantic-settings | 2.11.0 | direct |
| PyPI | pydantic-settings | 2.13.1 | direct |
| PyPI | pyecharts | 2.1.0 | direct |
| PyPI | pyyaml | 6.0.3 | direct |
| PyPI | requests | 2.32.5 | direct |
| PyPI | rich | 13.9.4 | direct |
| PyPI | setuptools | 82.0.0 | direct |
| PyPI | urllib3 | 1.26.20 | direct |
| PyPI | urllib3 | 2.6.3 | direct |
| PyPI | watchdog | 6.0.0 | direct |
| PyPI | wrapt | 2.1.1 | direct |
| PyPI | addict | 2.4.0 | indirect |
| PyPI | annotated-doc | 0.0.4 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | antlr4-python3-runtime | 4.9.3 | indirect |
| PyPI | anyio | 4.12.1 | indirect |
| PyPI | appnope | 0.1.4 | indirect |
| PyPI | asttokens | 3.0.1 | indirect |
| PyPI | basedpyright | 1.39.5 | indirect |
| PyPI | boto3 | 1.42.64 | indirect |
| PyPI | botocore | 1.42.64 | indirect |
| PyPI | build | 1.4.0 | indirect |
| PyPI | certifi | 2026.2.25 | indirect |
| PyPI | cffi | 2.0.0 | indirect |
| PyPI | cfgv | 3.4.0 | indirect |
| PyPI | cfgv | 3.5.0 | indirect |
| PyPI | charset-normalizer | 3.4.4 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | comm | 0.2.3 | indirect |
| PyPI | contourpy | 1.3.0 | indirect |
| PyPI | contourpy | 1.3.2 | indirect |
| PyPI | contourpy | 1.3.3 | indirect |
| PyPI | cuda-bindings | 12.9.4 | indirect |
| PyPI | cuda-pathfinder | 1.4.0 | indirect |
| PyPI | cycler | 0.12.1 | indirect |
| PyPI | debugpy | 1.8.20 | indirect |
| PyPI | decorator | 5.2.1 | indirect |
| PyPI | distlib | 0.4.0 | indirect |
| PyPI | eval-type-backport | 0.3.1 | indirect |
| PyPI | exceptiongroup | 1.3.1 | indirect |
| PyPI | executing | 2.2.1 | indirect |
| PyPI | fastapi | 0.128.8 | indirect |
| PyPI | fastapi | 0.135.1 | indirect |
| PyPI | filelock | 3.19.1 | indirect |
| PyPI | filelock | 3.25.0 | indirect |
| PyPI | fonttools | 4.60.2 | indirect |
| PyPI | fonttools | 4.61.1 | indirect |
| PyPI | freezegun | 1.5.5 | indirect |
| PyPI | fsspec | 2025.10.0 | indirect |
| PyPI | fsspec | 2026.2.0 | indirect |
| PyPI | gitdb | 4.0.12 | indirect |
| PyPI | gitpython | 3.1.46 | indirect |
| PyPI | grpcio | 1.78.0 | indirect |
| PyPI | grpcio-tools | 1.78.0 | indirect |
| PyPI | h11 | 0.16.0 | indirect |
| PyPI | identify | 2.6.15 | indirect |
| PyPI | identify | 2.6.17 | indirect |
| PyPI | idna | 3.11 | indirect |
| PyPI | imageio | 2.37.2 | indirect |
| PyPI | imageio-ffmpeg | 0.6.0 | indirect |
| PyPI | importlib-metadata | 8.7.1 | indirect |
| PyPI | importlib-resources | 6.5.2 | indirect |
| PyPI | iniconfig | 2.1.0 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | ipykernel | 6.31.0 | indirect |
| PyPI | ipykernel | 7.2.0 | indirect |
| PyPI | ipython | 8.18.1 | indirect |
| PyPI | ipython | 8.38.0 | indirect |
| PyPI | ipython | 9.10.0 | indirect |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirect |
| PyPI | jedi | 0.19.2 | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | jmespath | 1.1.0 | indirect |
| PyPI | joblib | 1.5.3 | indirect |
| PyPI | jupyter-client | 8.6.3 | indirect |
| PyPI | jupyter-client | 8.8.0 | indirect |
| PyPI | jupyter-core | 5.8.1 | indirect |
| PyPI | jupyter-core | 5.9.1 | indirect |
| PyPI | kiwisolver | 1.4.7 | indirect |
| PyPI | kiwisolver | 1.4.9 | indirect |
| PyPI | markdown-it-py | 3.0.0 | indirect |
| PyPI | markdown-it-py | 4.0.0 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | matplotlib | 3.10.8 | indirect |
| PyPI | matplotlib | 3.9.4 | indirect |
| PyPI | matplotlib-inline | 0.2.1 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | mmengine | 0.10.7 | indirect |
| PyPI | moviepy | 2.2.1 | indirect |
| PyPI | mpmath | 1.3.0 | indirect |
| PyPI | nanoid | 2.0.0 | indirect |
| PyPI | nest-asyncio | 1.6.0 | indirect |
| PyPI | networkx | 3.2.1 | indirect |
| PyPI | networkx | 3.4.2 | indirect |
| PyPI | networkx | 3.6.1 | indirect |
| PyPI | nodeenv | 1.10.0 | indirect |
| PyPI | nodejs-wheel-binaries | 24.15.0 | indirect |
| PyPI | numpy | 2.0.2 | indirect |
| PyPI | numpy | 2.2.6 | indirect |
| PyPI | numpy | 2.4.2 | indirect |
| PyPI | nvidia-cublas-cu12 | 12.8.4.1 | indirect |
| PyPI | nvidia-cuda-cupti-cu12 | 12.8.90 | indirect |
| PyPI | nvidia-cuda-nvrtc-cu12 | 12.8.93 | indirect |
| PyPI | nvidia-cuda-runtime-cu12 | 12.8.90 | indirect |
| PyPI | nvidia-cudnn-cu12 | 9.10.2.21 | indirect |
| PyPI | nvidia-cufft-cu12 | 11.3.3.83 | indirect |
| PyPI | nvidia-cufile-cu12 | 1.13.1.3 | indirect |
| PyPI | nvidia-curand-cu12 | 10.3.9.90 | indirect |
| PyPI | nvidia-cusolver-cu12 | 11.7.3.90 | indirect |
| PyPI | nvidia-cusparse-cu12 | 12.5.8.93 | indirect |
| PyPI | nvidia-cusparselt-cu12 | 0.7.1 | indirect |
| PyPI | nvidia-nccl-cu12 | 2.27.3 | indirect |
| PyPI | nvidia-nccl-cu12 | 2.27.5 | indirect |
| PyPI | nvidia-nvjitlink-cu12 | 12.8.93 | indirect |
| PyPI | nvidia-nvshmem-cu12 | 3.4.5 | indirect |
| PyPI | nvidia-nvtx-cu12 | 12.8.90 | indirect |
| PyPI | omegaconf | 2.3.0 | indirect |
| PyPI | opencv-python | 4.13.0.92 | indirect |
| PyPI | packaging | 26.0 | indirect |
| PyPI | pandas | 2.3.3 | indirect |
| PyPI | pandas | 3.0.1 | indirect |
| PyPI | parso | 0.8.6 | indirect |
| PyPI | peewee | 3.19.0 | indirect |
| PyPI | pexpect | 4.9.0 | indirect |
| PyPI | pillow | 11.3.0 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | pre-commit | 4.3.0 | indirect |
| PyPI | pre-commit | 4.5.1 | indirect |
| PyPI | prettytable | 3.16.0 | indirect |
| PyPI | prettytable | 3.17.0 | indirect |
| PyPI | proglog | 0.1.12 | indirect |
| PyPI | prompt-toolkit | 3.0.52 | indirect |
| PyPI | ptyprocess | 0.7.0 | indirect |
| PyPI | pure-eval | 0.2.3 | indirect |
| PyPI | py-cpuinfo | 9.0.0 | indirect |
| PyPI | pycparser | 2.23 | indirect |
| PyPI | pycparser | 3.0 | indirect |
| PyPI | pydantic-core | 2.41.5 | indirect |
| PyPI | pygments | 2.19.2 | indirect |
| PyPI | pyparsing | 3.3.2 | indirect |
| PyPI | pyproject-hooks | 1.2.0 | indirect |
| PyPI | pytest | 8.4.2 | indirect |
| PyPI | pytest | 9.0.2 | indirect |
| PyPI | pytest-benchmark | 5.2.3 | indirect |
| PyPI | pytest-mock | 3.15.1 | indirect |
| PyPI | python-dateutil | 2.9.0.post0 | indirect |
| PyPI | python-discovery | 1.1.0 | indirect |
| PyPI | python-dotenv | 1.2.1 | indirect |
| PyPI | python-dotenv | 1.2.2 | indirect |
| PyPI | pytz | 2026.1.post1 | indirect |
| PyPI | pywin32 | 311 | indirect |
| PyPI | pyzmq | 27.1.0 | indirect |
| PyPI | rdkit | 2023.9.6 | indirect |
| PyPI | rdkit | 2025.9.6 | indirect |
| PyPI | regex | 2026.1.15 | indirect |
| PyPI | regex | 2026.2.28 | indirect |
| PyPI | responses | 0.26.0 | indirect |
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"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 detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "Project has not signed or included provenance with any releases.",
"points": 0,
"status": "missed",
"details": [],
"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": "58 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"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": 8
},
"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": "at_risk",
"name": "AI Readiness",
"value": 44,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"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": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice",
"automated_maintenance"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 74,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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 data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"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": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 45666,
"source_files_sampled": 414,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/414 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 414,
"oversized": 0
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [],
"has_mcp_signal": false,
"api_schema_files": [
"protos/swanlab/grpc/core/v1/core.proto",
"protos/swanlab/grpc/core/v1/sync.proto",
"protos/swanlab/grpc/probe/v1/probe.proto",
"protos/swanlab/metric/column/v1/column.proto",
"protos/swanlab/metric/data/v1/data.proto",
"protos/swanlab/operation/v1/operation.proto",
"protos/swanlab/probe/v1/metadata.proto",
"protos/swanlab/record/v1/record.proto",
"protos/swanlab/run/v1/run.proto",
"protos/swanlab/save/v1/save.proto",
"protos/swanlab/settings/core/v1/core.proto",
"protos/swanlab/settings/probe/v1/probe.proto",
"protos/swanlab/terminal/v1/log.proto"
]
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": "protos/swanlab/grpc/core/v1/core.proto, protos/swanlab/grpc/core/v1/sync.proto, protos/swanlab/grpc/probe/v1/probe.proto, protos/swanlab/metric/column/v1/column.proto, protos/swanlab/metric/data/v1/data.proto, protos/swanlab/operation/v1/operation.proto, protos/swanlab/probe/v1/metadata.proto, protos/swanlab/record/v1/record.proto, protos/swanlab/run/v1/run.proto, protos/swanlab/save/v1/save.proto, protos/swanlab/settings/core/v1/core.proto, protos/swanlab/settings/probe/v1/probe.proto, protos/swanlab/terminal/v1/log.proto",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "protos/swanlab/grpc/core/v1/core.proto, protos/swanlab/grpc/core/v1/sync.proto, protos/swanlab/grpc/probe/v1/probe.proto, protos/swanlab/metric/column/v1/column.proto, protos/swanlab/metric/data/v1/data.proto, protos/swanlab/operation/v1/operation.proto, protos/swanlab/probe/v1/metadata.proto, protos/swanlab/record/v1/record.proto, protos/swanlab/run/v1/run.proto, protos/swanlab/save/v1/save.proto, protos/swanlab/settings/core/v1/core.proto, protos/swanlab/settings/probe/v1/probe.proto, protos/swanlab/terminal/v1/log.proto"
}
}
],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Could not fetch npm package 'swanlab' from its registry"
],
"report_type": "repository",
"generated_at": "2026-07-17T15:01:33.005636Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/swanhubx/swanlab.svg",
"full_name": "swanhubx/swanlab",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}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 v0.11.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.