Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-11 16:46 UTC

pandas-dev / pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

PythonBSD-3-Clause★ 49,487 stars⑂ 20,262 forkssince Aug 2010View on GitHub ↗
KindPluginLibraryCommand-line toolhow this is determined
#data-analysis#pandas#flexible#alignment#python#data-science

pandas-dev/pandas holds a health index of 99 out of 100, placing it in the Exceptional band. It scores highest on Community & Adoption (97/100) and lowest on AI Readiness (69/100). It was last updated today. 4 contributors account for most of its recent work.

99
overall / 100
Exceptional

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.

99
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 89 is calibrated to 99 on the published index scale (record calibration 2026-08-02).

Ownership

pandasOrganization
5,375 followers16 public repossince Aug 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpandas3.0.5770,407,01111719 days ago

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recency — last push 0 days ago
36/36Commit cadence — 52/52 weeks with commits
18/18Commit volume — 2,281 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year2,281
human_commit_share0.95
days_since_last_push0
active_weeks_last_year52

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 19 days ago
27/27Release cadence — a release every ~32.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv3.0.5
releases_from_tagsno
days_since_latest_release19
mean_days_between_releases32.9

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

97Exceptional · 17% of overall

Popularity & adoption

100Exceptional
How it's scored
60/60Stars — 49,487 stars
25/25Forks — 20,262 forks
15/15Watchers — 1,138 watchers
Inputs used
forks20,262
stars49,487
watchers1,138
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 770,407,011 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespandas
dependents—
ecosystemspypi
total_downloads—
monthly_downloads770,407,011
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?

85Excellent · 23% of overall

Maintainer resilience (bus factor)

85Excellent
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
18/22.5Commit distribution — top contributor authored 20% of commits
13.5/13.5Contributor breadth — 97 contributors
10/10OpenSSF Scorecard: Contributors — project has 49 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled97
top_contributor_share0.2

Issue & PR responsiveness

64Moderate
How it's scored
38.1/42Issue resolution — 91% of issues closed
23.2/30PR acceptance — 29,355/37,930 decided PRs merged
1.6/13Newcomer PR acceptance — 1/8 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 4/30 approved changesets -- score normalized to 1
Inputs used
merged_prs29,355
open_issues2,637
closed_issues25,832
prs_merged_7d45
prs_decided_7d57
prs_merged_30d45
prs_decided_30d57
issue_closed_ratio0.907
closed_unmerged_prs8,575
first_time_authors_30d8
first_time_prs_merged_30d1
first_time_prs_decided_30d8

Ownership & stewardship

95Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
25/25Owner reach — 5,375 followers of pandas-dev
21/25Track record — 16 public repos, account ~9 yr old
Inputs used
followers5,375
owner_typeOrganization
is_verified—
owner_loginpandas-dev
public_repos16
account_age_days3,639
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 19 days ago
20/20Version history — 117 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespandas
ecosystemspypi
any_deprecatedno
min_days_since_publish19

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 12 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pandas.pydata.org
10/10Repository description
10/10Topics — 6 topics
0/10Wiki
Inputs used
topicsdata-analysis, pandas, flexible, alignment, python, data-science
has_wikino
homepagehttps://pandas.pydata.org
docs_sitehttps://pandas.pydata.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

81Excellent · 16% of overall

Security posture

76Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 4/30 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 49 contributing companies or organizations
0/10Dangerous-Workflow — no data
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — no data
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — no data
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate7.6
Excluded from scoring (no data or not applicable): Branch-Protection, Dangerous-Workflow, Packaging, Pinned-Dependencies, Token-Permissions. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages3
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pandas@3.0.5 runtime dependency closure — what installing the published package pulls in — 3 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.

69Good · 4% of overall

Agent context & guidance

79Good
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
33.7/40Legible commit history — 60 of 95 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.632
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes2,820

Verify loop (build / test / typecheck)

57Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
0/11Static type checking
0/10Reproducible environment
10/10Demonstrated agent practice — 76 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 3 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.76
toolchain_manifests—
dependency_bot_commit_share0.03
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.

Code legibility for models

52Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
51.9/55Manageable file sizes — 86/1,541 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes693,145
source_files_sampled1,541
oversized_source_files86

Machine-readable interfaces

100Exceptional
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 — notebooks
Inputs used
example_dirsnotebooks
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

49,487GitHub stars
97contributors
2,281commits, last 12 months
0days since last push
100releases
4bus factor
2,637open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 19 authors (cap 12)

More detail

Star and fork history 0 ★ / 20,262 ⇿
0Stars
20,262Forks
5Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

19,20019,40019,60019,80020,00020,20020,40020,262242026-022026-052026-08
Major 0Minor 0Patch 5
OpenSSF Scorecard 7.6 / 10
7.6aggregate

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 · 2026-08-11 16:45 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal 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
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 4/30 approved changesets -- score normalized to 1
10Contributorsproject has 49 contributing companies or organizations
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 16 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
n/aToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPInumpy>=2.0.2pyproject.toml
PyPInumpy>=2.3.3pyproject.toml
PyPIpython-dateutil>=2.9.0pyproject.toml
PyPItzdata—pyproject.toml
PyPItzdata—pyproject.toml
All dependencies 86

Full resolved dependency set from the GitHub dependency graph: 3 direct and 83 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPInumpy—direct
PyPIpython-dateutil—direct
PyPItzdata—direct
PyPIadbc-driver-postgresql—indirect
PyPIadbc-driver-sqlite—indirect
PyPIasv—indirect
PyPIbeautifulsoup4—indirect
PyPIbottleneck—indirect
PyPIcoverage—indirect
PyPIcython—indirect
PyPIdask—indirect
PyPIfastparquet—indirect
PyPIfeedparser—indirect
PyPIfsspec—indirect
PyPIgcsfs—indirect
PyPIgitpython—indirect
PyPIhtml5lib—indirect
PyPIhypothesis—indirect
PyPIipykernel—indirect
PyPIipython—indirect
PyPIipywidgets—indirect
PyPIjinja2—indirect
PyPIjupyterlite-core—indirect
PyPIjupyterlite-pyodide-kernel—indirect
PyPIlxml—indirect
PyPImarkdown—indirect
PyPImatplotlib—indirect
PyPImeson—indirect
PyPImeson-python—indirect
PyPImoto—indirect
PyPImypy2.1.0indirect
PyPInatsort—indirect
PyPInbconvert—indirect
PyPInbformat—indirect
PyPInbsphinx—indirect
PyPInotebook—indirect
PyPInumba—indirect
PyPInumexpr—indirect
PyPInumpydoc—indirect
PyPIodfpy—indirect
PyPIopenpyxl—indirect
PyPIpandoc—indirect
PyPIpickleshare—indirect
PyPIpip—indirect
PyPIpre-commit—indirect
PyPIpsycopg2—indirect
PyPIpsycopg2-binary—indirect
PyPIpy-rattler—indirect
PyPIpyarrow—indirect
PyPIpygments—indirect
PyPIpyiceberg—indirect
PyPIpymysql—indirect
PyPIpyqt5—indirect
PyPIpyreadstat—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpytest-cython—indirect
PyPIpytest-localserver—indirect
PyPIpytest-qt—indirect
PyPIpytest-xdist—indirect
PyPIpython-calamine—indirect
PyPIpytz—indirect
PyPIpyxlsb—indirect
PyPIpyyaml—indirect
PyPIqtpy—indirect
PyPIrequests—indirect
PyPIs3fs—indirect
PyPIscipy—indirect
PyPIscipy-stubs—indirect
PyPIseaborn—indirect
PyPIsphinx—indirect
PyPIsphinx-copybutton—indirect
PyPIsphinx-design—indirect
PyPIsqlalchemy—indirect
PyPItables—indirect
PyPItabulate—indirect
PyPItokenize-rt—indirect
PyPItypes-pymysql—indirect
PyPItypes-python-dateutil—indirect
PyPItypes-pytz—indirect
PyPItypes-pyyaml—indirect
PyPIversioneer—indirect
PyPIxarray—indirect
PyPIxlrd—indirect
PyPIxlsxwriter—indirect
PyPIzstandard—indirect
Dependency advisories 0

Installing pypi:pandas@3.0.5 pulls in 3 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

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.

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Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.31.0 — full methodology · metrics wiki.

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