Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-18 16:25 UTC

paperswithcode / sota-extractor

The SOTA extractor pipeline

PythonApache-2.0★ 386 stars⑂ 43 forkssince Dec 2018View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

paperswithcode/sota-extractor holds a health index of 22 out of 100, placing it in the At Risk band. It scores highest on Sustainability & Governance (62/100) and lowest on Security (18/100). It was last updated 942 days ago. 2 contributors account for most of its recent work.

22
overall / 100
At Risk

Software 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.

22
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)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

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 41 is calibrated to 36 on the published index scale (record calibration 2026-08-02).

Ownership

Papers with codeOrganization
5,996 followers13 public repossince Jun 2018

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIsota-extractor0.0.2947201721 days agosotatable

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

20At Risk · 21% of overall
How it's scored
0/36Push recency — last push 942 days ago
0/36Commit cadence — 0/52 weeks with commits
0/18Commit volume — 0 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year0
human_commit_share1
days_since_last_push942
active_weeks_last_year0
How it's scored
16.2/27Ships releases — 16 version tags (no GitHub releases)
0/36Release recency — latest release 1,920 days ago
27/27Release cadence — a release every ~17.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count16
latest_release_tagv0.0.28
releases_from_tagsyes
days_since_latest_release1,920
mean_days_between_releases17.2
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?

49Weak · 17% of overall
How it's scored
41.9/60Stars — 386 stars
13.5/25Forks — 43 forks
6/15Watchers — 13 watchers
Inputs used
forks43
stars386
watchers13
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno
How it's scored
22.4/80Monthly downloads — 47 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagessota-extractor
dependents—
ecosystemspypi
total_downloads—
monthly_downloads47
unverified_packages_excluded—
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?

62Moderate · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
11.9/22.5Commit distribution — top contributor authored 47% of commits
9.5/13.5Contributor breadth — 7 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor2
contributors_sampled7
top_contributor_share0.47
How it's scored
22.8/42Issue resolution — 54% of issues closed
27.3/30PR acceptance — 10/11 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 2/24 approved changesets -- score normalized to 0
Inputs used
merged_prs10
open_issues71
closed_issues84
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.542
closed_unmerged_prs1
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 5,996 followers of paperswithcode
20.3/25Track record — 13 public repos, account ~8 yr old
Inputs used
followers5,996
owner_typeOrganization
is_verifiedno
owner_loginpaperswithcode
public_repos13
account_age_days3,046
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
4/35Publish recency — latest publish 1,721 days ago
20/20Version history — 20 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessota-extractor
ecosystemspypi
any_deprecatedno
min_days_since_publish1,721

Engineering Quality

Are baseline engineering and documentation practices in place?

50Moderate · 19% of overall
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config — setup.cfg ([flake8])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 7 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

18Critical · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — 0 out of 7 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 2/24 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
0/10Dangerous-Workflow — no data
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — no data
0/5Pinned-Dependencies — no data
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — no data
0/7.5Vulnerabilities — 65 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate1.5
Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. Remaining weights renormalized.
How it's scored
4.8/35Direct dependencies free of known advisories — 4 affected: nltk 3.4.5 (critical 10.0), markdown 3.3.7 (high 7.5), marshmallow 3.12.2 (moderate 5.3), +1 more
7.4/25Indirect dependencies free of known advisories — 2 affected: idna 2.10.0 (high 7.5), urllib3 1.25.11 (high 8.1)
18.9/40No advisories left outstanding — 6 advisory-carrying package(s) unaddressed past 90 days; oldest published 1,964 days ago
Inputs used
sourceosv
advisories130
affected_packages6
assessed_packages18
unassessed_packages0
affected_by_severitycritical 1, high 3, moderate 2
direct_affected_packages4
Matched the pypi:sota-extractor@0.0.29 runtime dependency closure — what installing the published package pulls in — 18 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.

48Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
6.4/40Legible commit history — 12 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.12
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — setup.cfg ([flake8])
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/40 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes7,609
source_files_sampled40
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

386GitHub stars
7contributors
0commits, last 12 months
942days since last push
16releases
2bus factor
71open 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 ★ / 43 ⇿
0Stars
43Forks
16Releases

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.

010203040504332019-022022-102026-06
Major 0Minor 0Patch 16

Each point covers 7 days.

OpenSSF Scorecard 1.5 / 10
1.5aggregate

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).Scorecard v5.5.0 · 2026-10-18 16:24 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
0CI-Tests0 out of 7 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 2/24 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
n/aDangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
0Vulnerabilities65 existing vulnerabilities detected
All dependencies 22

Full resolved dependency set from the GitHub dependency graph: 0 direct and 22 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbeautifulsoup4—indirect
PyPIblack21.6b0indirect
PyPIclick—indirect
PyPIflake8—indirect
PyPIjsonnet—indirect
PyPIjupyter—indirect
PyPIlxml—indirect
PyPImarkdown—indirect
PyPImarshmallow—indirect
PyPInltk—indirect
PyPIpandas—indirect
PyPIpre-commit—indirect
PyPIpydocstyle—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpytz—indirect
PyPIrecommonmark—indirect
PyPIrequests—indirect
PyPIsoupsieve—indirect
PyPIsphinx—indirect
PyPIsphinx-rtd-theme—indirect
PyPItwine—indirect
Dependency advisories 6

Installing pypi:sota-extractor@0.0.29 pulls in 18 packages, direct and transitive: 6 carry known advisories, of which 4 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
nltk3.4.5directcritical943.10.3
markdown3.3.7directhigh23.8.1
idna2.10.0indirecthigh43.15
urllib31.25.11indirecthigh202.8.0
marshmallow3.12.2directmoderate24.1.2
requests2.23.0directmoderate82.33.0

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

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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 v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.