Public recordExcellent
Software health reportschema 0.30.0 · metrics 2.5.0 · 2026-08-04 16:20 UTC
MinishLab / model2vec
Fast State-of-the-Art Static Embeddings
MinishLab/model2vec holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Security (58/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.
87
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.
87
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe 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.
The weighted overall 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).
Ownership
MinishOrganization
388 followers12 public repossince Aug 2024
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 |
|---|---|---|---|---|---|
| PyPI | model2vec | 0.8.2 | - | 26 | 67 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
80
Development activity
72Good
How it's scored
| 36/36 | Push recency — last push 1 days ago |
| 15.9/36 | Commit cadence — 23/52 weeks with commits |
| 15.1/18 | Commit volume — 47 commits in the last year |
| 5/10 | OpenSSF Scorecard: Maintained — 5 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 5 |
Inputs used
| commits_last_year | 47 |
| human_commit_share | 1 |
| days_since_last_push | 1 |
| active_weeks_last_year | 23 |
Release discipline
92Excellent
How it's scored
| 27/27 | Ships releases — 26 releases published |
| 36/36 | Release recency — latest release 67 days ago |
| 19.8/27 | Release cadence — a release every ~54.1 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 26 |
| latest_release_tag | v0.8.2 |
| releases_from_tags | no |
| days_since_latest_release | 67 |
| mean_days_between_releases | 54.1 |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
65
Popularity & adoption
78Good
How it's scored
| 54.1/60 | Stars — 2,172 stars |
| 17.4/25 | Forks — 122 forks |
| 6.4/15 | Watchers — 15 watchers |
Inputs used
| forks | 122 |
| stars | 2,172 |
| watchers | 15 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
50Moderate
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 0/18 | 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 |
| readme_badges | 6 |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| readme_badge_services | codecov.io, shields.io |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
70
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 8.6/22.5 | Commit distribution — top contributor authored 62% of commits |
| 13.5/13.5 | Contributor breadth — 11 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 11 |
| top_contributor_share | 0.619 |
Issue & PR responsiveness
90Excellent
How it's scored
| 40.9/42 | Issue resolution — 97% of issues closed |
| 28.8/30 | PR acceptance — 238/248 decided PRs merged |
| 0/13 | Newcomer PR acceptance — no first-time contributor's PR decided in 30d |
| 9/15 | OpenSSF Scorecard: Code-Review — Found 20/30 approved changesets -- score normalized to 6 |
Inputs used
| merged_prs | 238 |
| open_issues | 2 |
| closed_issues | 74 |
| prs_merged_7d | 2 |
| prs_decided_7d | 2 |
| prs_merged_30d | 2 |
| prs_decided_30d | 2 |
| issue_closed_ratio | 0.974 |
| closed_unmerged_prs | 10 |
| first_time_authors_30d | 0 |
| first_time_prs_merged_30d | 0 |
| first_time_prs_decided_30d | 0 |
Excluded from scoring (no data or not applicable): newcomer_pr_acceptance. Remaining weights renormalized.
Ownership & stewardship
61Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 18.6/25 | Owner reach — 388 followers of MinishLab |
| 12.1/25 | Track record — 12 public repos, account ~1 yr old |
Inputs used
| followers | 388 |
| owner_type | Organization |
| is_verified | — |
| owner_login | MinishLab |
| public_repos | 12 |
| account_age_days | 724 |
Package maintenance
100Exceptional
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 67 days ago |
| 20/20 | Version history — 26 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | model2vec |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 67 |
Engineering Quality
Are baseline engineering and documentation practices in place?
92
Engineering practices
94Exceptional
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 |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://minish.ai/packages/model2vec/introduction |
| 10/10 | Repository description |
| 10/10 | Topics — 8 topics |
| 0/10 | Wiki |
Inputs used
| topics | embeddings, machine-learning, model2vec, nlp, python, sentence-transformers, ai, word-embeddings |
| has_wiki | no |
| homepage | https://minish.ai/packages/model2vec/introduction |
| 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?
58
Security posture
48Weak
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 4.5/7.5 | Code-Review — Found 20/30 approved changesets -- score normalized to 6 |
| 2.5/2.5 | Contributors — project has 4 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 |
| 3.8/7.5 | Maintained — 5 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 5 |
| 5/5 | Packaging — packaging workflow detected |
| 5/5 | Pinned-Dependencies — all dependencies are pinned |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 16 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4.8 |
Excluded from scoring (no data or not applicable): branch_protection, signed_releases. Remaining weights renormalized.
Dependency advisories
100Exceptional
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 | 21 |
| 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:model2vec@0.8.2 runtime dependency closure — what installing the published package pulls in — 21 packages. Reachability is not analyzed.
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.
63
Agent context & guidance
40Weak
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 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 | — |
| agent_instruction_max_bytes | — |
Verify loop (build / test / typecheck)
82Excellent
How it's scored
| 18/18 | One-command bootstrap — Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 11/11 | Static type checking — model2vec/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 |
| 10/10 | OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned |
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 | model2vec/py.typed |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
82Excellent
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (model2vec/py.typed) |
| 55/55 | Manageable file sizes — 0/43 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 22,537 |
| source_files_sampled | 43 |
| oversized_source_files | 0 |
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — notebooks |
Inputs used
| example_dirs | notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
2,172GitHub stars
11contributors
47commits, last 12 months
1days since last push
26releases
1bus factor
2open issues
PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
More detail
Star and fork history 0 ★ / 122 ⇿
0Stars
122Forks
23Releases
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 0Minor 7Patch 16
Each point covers 2 days.
OpenSSF Scorecard 4.8 / 10
4.8aggregate
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 |
| n/a | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 6 | Code-Review | Found 20/30 approved changesets -- score normalized to 6 |
| 10 | Contributors | project has 4 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 |
| 5 | Maintained | 5 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 5 |
| 10 | Packaging | packaging workflow detected |
| 10 | Pinned-Dependencies | all dependencies are pinned |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 16 existing vulnerabilities detected |
Direct dependencies 6
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | jinja2 | — | pyproject.toml |
| PyPI | joblib | — | pyproject.toml |
| PyPI | numpy | — | pyproject.toml |
| PyPI | safetensors | — | pyproject.toml |
| PyPI | tokenizers | >=0.20 | pyproject.toml |
| PyPI | tqdm | — | pyproject.toml |
All dependencies 108
Full resolved dependency set from the GitHub dependency graph: 7 direct and 101 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | jinja2 | 3.1.6 | direct |
| PyPI | joblib | 1.5.3 | direct |
| PyPI | numpy | 2.2.6 | direct |
| PyPI | numpy | 2.4.3 | direct |
| PyPI | safetensors | 0.7.0 | direct |
| PyPI | tokenizers | 0.22.2 | direct |
| PyPI | tqdm | 4.67.3 | direct |
| PyPI | annotated-doc | 0.0.4 | indirect |
| PyPI | annotated-types | 0.7.0 | indirect |
| PyPI | anyio | 4.13.0 | indirect |
| PyPI | asttokens | 3.0.1 | indirect |
| PyPI | certifi | 2026.2.25 | indirect |
| PyPI | cfgv | 3.5.0 | indirect |
| PyPI | click | 8.3.1 | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | coverage | 7.13.5 | indirect |
| PyPI | cuda-bindings | 12.9.4 | indirect |
| PyPI | cuda-pathfinder | 1.5.0 | indirect |
| PyPI | decorator | 5.2.1 | indirect |
| PyPI | distlib | 0.4.0 | indirect |
| PyPI | exceptiongroup | 1.3.1 | indirect |
| PyPI | executing | 2.2.1 | indirect |
| PyPI | filelock | 3.25.2 | indirect |
| PyPI | fsspec | 2026.2.0 | indirect |
| PyPI | h11 | 0.16.0 | indirect |
| PyPI | hf-xet | 1.4.2 | indirect |
| PyPI | httpcore | 1.0.9 | indirect |
| PyPI | httpx | 0.28.1 | indirect |
| PyPI | huggingface-hub | 1.8.0 | indirect |
| PyPI | identify | 2.6.18 | indirect |
| PyPI | idna | 3.11 | indirect |
| PyPI | iniconfig | 2.3.0 | indirect |
| PyPI | ipython | 8.39.0 | indirect |
| PyPI | ipython | 9.10.1 | indirect |
| PyPI | ipython | 9.12.0 | indirect |
| PyPI | ipython-pygments-lexers | 1.1.1 | indirect |
| PyPI | jedi | 0.19.2 | indirect |
| PyPI | librt | 0.8.1 | indirect |
| PyPI | markdown-it-py | 4.0.0 | indirect |
| PyPI | markupsafe | 3.0.3 | indirect |
| PyPI | matplotlib-inline | 0.2.1 | indirect |
| PyPI | mdurl | 0.1.2 | indirect |
| PyPI | ml-dtypes | 0.5.4 | indirect |
| PyPI | mpmath | 1.3.0 | indirect |
| PyPI | mypy | 1.19.1 | indirect |
| PyPI | mypy-extensions | 1.1.0 | indirect |
| PyPI | networkx | 3.4.2 | indirect |
| PyPI | networkx | 3.6.1 | indirect |
| PyPI | nodeenv | 1.10.0 | 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 | 2.27.5 | 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 | onnx | 1.20.1 | indirect |
| PyPI | packaging | 26.0 | indirect |
| PyPI | parso | 0.8.6 | indirect |
| PyPI | pathspec | 1.0.4 | indirect |
| PyPI | pexpect | 4.9.0 | indirect |
| PyPI | platformdirs | 4.9.4 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | pre-commit | 4.5.1 | indirect |
| PyPI | prettytable | 3.17.0 | indirect |
| PyPI | prompt-toolkit | 3.0.52 | indirect |
| PyPI | protobuf | 7.34.1 | indirect |
| PyPI | ptyprocess | 0.7.0 | indirect |
| PyPI | pure-eval | 0.2.3 | indirect |
| PyPI | pydantic | 2.12.5 | indirect |
| PyPI | pydantic-core | 2.41.5 | indirect |
| PyPI | pygments | 2.19.2 | indirect |
| PyPI | pytest | 9.0.2 | indirect |
| PyPI | pytest-cov | 7.1.0 | indirect |
| PyPI | python-discovery | 1.2.1 | indirect |
| PyPI | pyyaml | 6.0.3 | indirect |
| PyPI | regex | 2026.2.28 | indirect |
| PyPI | rich | 14.3.3 | indirect |
| PyPI | ruff | 0.15.8 | indirect |
| PyPI | scikit-learn | 1.7.2 | indirect |
| PyPI | scikit-learn | 1.8.0 | indirect |
| PyPI | scipy | 1.15.3 | indirect |
| PyPI | scipy | 1.17.1 | indirect |
| PyPI | setuptools | 82.0.1 | indirect |
| PyPI | shellingham | 1.5.4 | indirect |
| PyPI | skeletoken | 0.3.3 | indirect |
| PyPI | skops | 0.13.0 | indirect |
| PyPI | stack-data | 0.6.3 | indirect |
| PyPI | sympy | 1.14.0 | indirect |
| PyPI | threadpoolctl | 3.6.0 | indirect |
| PyPI | tomli | 2.4.1 | indirect |
| PyPI | torch | 2.10.0 | indirect |
| PyPI | traitlets | 5.14.3 | indirect |
| PyPI | transformers | 5.3.0 | indirect |
| PyPI | triton | 3.6.0 | indirect |
| PyPI | typer | 0.24.1 | indirect |
| PyPI | typing-extensions | 4.15.0 | indirect |
| PyPI | typing-inspection | 0.4.2 | indirect |
| PyPI | virtualenv | 21.2.0 | indirect |
| PyPI | wcwidth | 0.6.0 | indirect |
Dependency advisories 0
Installing pypi:model2vec@0.8.2 pulls in 21 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
{
"data": {
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"Makefile": 564,
"Jupyter Notebook": 65109
},
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"owner_type": "Organization",
"updated_at": "2026-08-04T02:52:16Z",
"description": "Fast State-of-the-Art Static Embeddings",
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"license": {
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},
"activity": {
"releases": [
{
"tag": "v0.8.2",
"kind": "patch",
"published_at": "2026-05-29T11:46:36Z"
},
{
"tag": "v0.8.1",
"kind": "patch",
"published_at": "2026-03-27T13:39:28Z"
},
{
"tag": "v0.8.0",
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"published_at": "2026-03-26T06:34:52Z"
},
{
"tag": "v0.7.0",
"kind": "minor",
"published_at": "2025-10-05T06:30:05Z"
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{
"tag": "v0.6.0",
"kind": "minor",
"published_at": "2025-06-03T10:01:58Z"
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{
"tag": "v0.5.0",
"kind": "minor",
"published_at": "2025-04-30T18:01:46Z"
},
{
"tag": "0.4.1",
"kind": "patch",
"published_at": "2025-02-28T07:26:31Z"
},
{
"tag": "0.4.0",
"kind": "minor",
"published_at": "2025-02-12T19:48:50Z"
},
{
"tag": "v0.3.9",
"kind": "patch",
"published_at": "2025-02-06T07:09:55Z"
},
{
"tag": "v0.3.8",
"kind": "patch",
"published_at": "2025-01-27T18:39:28Z"
},
{
"tag": "v0.3.7",
"kind": "patch",
"published_at": "2025-01-21T20:01:28Z"
},
{
"tag": "v0.3.6",
"kind": "patch",
"published_at": "2025-01-15T19:54:53Z"
},
{
"tag": "v0.3.5",
"kind": "patch",
"published_at": "2025-01-11T10:37:26Z"
},
{
"tag": "v0.3.4",
"kind": "patch",
"published_at": "2025-01-05T12:17:44Z"
},
{
"tag": "v0.3.3",
"kind": "patch",
"published_at": "2024-11-20T17:51:13Z"
},
{
"tag": "v0.3.2",
"kind": "patch",
"published_at": "2024-10-31T13:16:26Z"
},
{
"tag": "v0.3.1",
"kind": "patch",
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"headline": "feat: track token provenance (#222)",
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"headline": "feat: Added quantization for from_sentence_transformers (#219)",
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{
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"headline": "fix: pretokenize tokens before checking vocabulary (#215)",
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"headline": "feat: Added py typed file (#214)",
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"headline": "fix bibtex (#208)",
"author_name": "Stephan Tulkens",
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"body": "* rewrite backend\n\n* fixes, clean-up\n\n* fix multiword, clean\n\n* add pad token\n\n* fix tests\n\n* Fix backend\n\n* comments/docstring",
"is_bot": false,
"headline": "rewrite backend (#207)",
"author_name": "Stephan Tulkens",
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{
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"body": "Add \"chonkie[semantic]\" to the installs and add the new chunking params",
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"headline": "fix: Updated semantic chunking tutorial",
"author_name": "Bhavnick Minhas",
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"body": "* Bumped version\r\n\r\n* Bumped version\r\n\r\n* Bumped version\r\n\r\n* Fixed merge conflict\r\n\r\n* Updated version\r\n\r\n* Updated version\r\n\r\n* Bumped version\r\n\r\n* Bumped version\r\n\r\n* bumped version\r\n\r\n* Bumped version\r\n\r\n* Bumped version\r\n\r\n* Bump version",
"is_bot": false,
"headline": "Bump version (#204)",
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"author_name": "Stephan Tulkens",
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"committed_at": "2025-02-26T18:30:11Z",
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"body": "* Added discord badge\n\n* Added discord badge",
"is_bot": false,
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{
"oid": "722f93973d424a6534f21b47b0e75b85b159256c",
"body": "* Added multilabel option to training\r\n\r\n* Added multilabel option to training\r\n\r\n* Added multilabel option to training\r\n\r\n* Added multilabel option to training\r\n\r\n* Added multilabel option to training\r\n\r\n* Added multilabel option to training\r\n\r\n* Added threshold to predict\r\n\r\n* Updated docs\r\n\r\n* Up\n[…]\nvaluate. Made evaluate available for pipelines. Simplified evaluate logic.\r\n\r\n* Removed unused imports\r\n\r\n* Updated classes logic\r\n\r\n---------\r\n\r\nCo-authored-by: Stephan Tulkens <stephantul@gmail.com>",
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"headline": "feat: Add evaluate function for classifiers (#195)",
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"is_bot": false,
"headline": "feat: Add multilabel classification for training (#191)",
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"body": "* Updated model card template\r\n\r\n* Updated model card template",
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"headline": "docs: Update model card template (#192)",
"author_name": "Thomas van Dongen",
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"committed_at": "2025-02-15T12:24:07Z",
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"headline": "docs: Added training plot, added more training results (#189)",
"author_name": "Thomas van Dongen",
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"is_bot": false,
"headline": "Bump version (#188)",
"author_name": "Thomas van Dongen",
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"committed_at": "2025-02-12T19:48:25Z",
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}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "good",
"name": "Sustainability & Governance",
"value": 70,
"weight": 0.23,
"metrics": [
{
"key": "maintainer_resilience",
"band": "weak",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 41,
"inputs": {
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"contributors_sampled": 11,
"top_contributor_share": 0.619
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"components": [
{
"key": "bus_factor",
"name": "Bus factor",
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"points": 9,
"status": "partial",
"details": [
{
"code": "bus_factor",
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"count": 1
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}
],
"max_points": 54
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{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 62% of commits",
"points": 8.6,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 62
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}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "11 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
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"count": 11
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}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 4 contributing companies or organizations",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
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"name": "Issue & PR responsiveness",
"note": "Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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},
{
"code": "weights_renormalized",
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],
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"closed_issues": 74,
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"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "97% of issues closed",
"points": 40.9,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 97
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}
],
"max_points": 42
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{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "238/248 decided PRs merged",
"points": 28.8,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
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}
],
"max_points": 30
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{
"key": "newcomer_pr_acceptance",
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"detail": "no first-time contributor's PR decided in 30d",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_newcomer_prs",
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],
"max_points": 13
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{
"key": "openssf_scorecard_code_review",
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"points": 9,
"status": "partial",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "moderate",
"name": "Ownership & stewardship",
"note": null,
"notes": [],
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"inputs": {
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"owner_type": "Organization",
"is_verified": null,
"owner_login": "MinishLab",
"public_repos": 12,
"account_age_days": 724
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"components": [
{
"key": "ownership_backing",
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{
"code": "owner_organization",
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{
"key": "verified_domain",
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"points": 0,
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{
"key": "owner_reach",
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"points": 18.6,
"status": "partial",
"details": [
{
"code": "owner_followers",
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},
{
"key": "track_record",
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"detail": "12 public repos, account ~1 yr old",
"points": 12.1,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 12
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},
{
"code": "account_age_years",
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"years": 1
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]
},
{
"key": "package_maintenance",
"band": "exceptional",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"model2vec"
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"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 67
},
"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
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"count": 1,
"ecosystems": "pypi"
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}
],
"max_points": 25
},
{
"key": "publish_recency",
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"detail": "latest publish 67 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
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"days": 67
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}
],
"max_points": 35
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{
"key": "version_history",
"name": "Version history",
"detail": "26 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 26
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}
],
"max_points": 20
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{
"key": "not_deprecated",
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"points": 20,
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"details": [
{
"code": "package_not_deprecated",
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}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
"value": 92,
"weight": 0.19,
"metrics": [
{
"key": "engineering_practices",
"band": "exceptional",
"name": "Engineering practices",
"note": null,
"notes": [],
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"inputs": {
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"has_tests": true,
"has_editorconfig": false,
"has_linter_config": true,
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"components": [
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"key": "ci_workflows",
"name": "CI workflows",
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"points": 24,
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"details": [
{
"code": "ci_workflows",
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}
],
"max_points": 24
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{
"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": [],
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},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 9.6,
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"details": [],
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},
{
"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",
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"points": 20,
"status": "met",
"details": [],
"max_points": 20
}
]
},
{
"key": "documentation",
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"name": "Documentation",
"note": null,
"notes": [],
"value": 90,
"inputs": {
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"nlp",
"python",
"sentence-transformers",
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"has_wiki": false,
"homepage": "https://minish.ai/packages/model2vec/introduction",
"has_readme": true,
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"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
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"max_points": 30
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{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 25,
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"max_points": 25
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{
"key": "documentation_homepage_site",
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{
"key": "repository_description",
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"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "8 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
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}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "moderate",
"name": "Security",
"value": 58,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "weak",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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},
{
"code": "weights_renormalized",
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}
],
"value": 48,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 16,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 4.8
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"components": [
{
"key": "binary_artifacts",
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"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
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},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
"points": 0,
"status": "excluded",
"details": [
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"code": "no_data",
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],
"max_points": 7.5
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{
"key": "ci_tests",
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"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",
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},
{
"key": "code_review",
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"points": 4.5,
"status": "partial",
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},
{
"key": "contributors",
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"points": 2.5,
"status": "met",
"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": "5 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 5",
"points": 3.8,
"status": "partial",
"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": "all dependencies are pinned",
"points": 5,
"status": "met",
"details": [],
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},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
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},
{
"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": "16 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "exceptional",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:model2vec@0.8.2 runtime dependency closure — what installing the published package pulls in — 21 packages. Reachability is not analyzed.",
"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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},
{
"code": "weights_renormalized",
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{
"code": "advisories_scope_published",
"params": {
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"assessed": 21
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},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
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"advisories": 0,
"affected_packages": 0,
"assessed_packages": 21,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
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"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,
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"details": [
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"code": "no_direct_advisories",
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}
],
"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",
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}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
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"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
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"code": "advisories_no_publication_date",
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],
"max_points": 40
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]
},
{
"key": "malicious_dependencies",
"band": "exceptional",
"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": 21,
"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",
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"details": [
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"code": "no_malicious_dependencies",
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}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
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"name": "High-Risk Jurisdiction Exposure",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
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"exposures": [],
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"components": [
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"details": [
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"code": "jurisdiction_no_match",
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}
],
"max_points": 100
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]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
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"name": "AI Readiness",
"value": 63,
"weight": 0.04,
"metrics": [
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"note": null,
"notes": [],
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"inputs": {
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"agent_instruction_files": [],
"agent_instruction_max_bytes": null
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"components": [
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],
"max_points": 45
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{
"key": "machine_readable_docs_llms_txt",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "legible_commit_history",
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],
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]
},
{
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"notes": [],
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"lockfiles": [
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"components": [
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"details": [
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],
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{
"key": "automated_tests",
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},
{
"key": "lint_format_config",
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{
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"detail": "model2vec/py.typed",
"points": 11,
"status": "met",
"details": [
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"code": "file_list",
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}
],
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{
"key": "reproducible_environment",
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"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
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"code": "file_list",
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}
],
"max_points": 10
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{
"key": "demonstrated_agent_practice",
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"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
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],
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{
"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": "all dependencies are pinned",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "excellent",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 82,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 22537,
"source_files_sampled": 43,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (model2vec/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "model2vec/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/43 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 43,
"oversized": 0
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "weak",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"notebooks"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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": "notebooks",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "notebooks"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
}
],
"classification": {
"top": [
"library"
],
"labels": [
"library"
],
"scores": {
"library": 12,
"notebook": 3
},
"primary": "library",
"evidence": [
{
"tier": "declared",
"label": "library",
"source": "pypi.classifier:Topic :: Software Development :: Libraries",
"weight": 6
},
{
"tier": "distribution",
"label": "library",
"source": "registry:pypi",
"weight": 6
},
{
"tier": "structure",
"label": "notebook",
"source": "tree.notebook",
"weight": 3
}
],
"artifacts": [
{
"path": "pyproject.toml",
"labels": [
"library"
],
"ecosystem": "pypi"
}
],
"confidence": "high",
"host_extension": false,
"runs_as_process": false,
"consumed_by_code": true
},
"metrics_version": "2.5.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-08-04T16:20:36.040248Z",
"schema_version": "0.30.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/MinishLab/model2vec.svg",
"full_name": "MinishLab/model2vec",
"license_state": "standard",
"license_spdx": "MIT"
}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 v2.5.0, schema v0.30.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.