Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-04 20:31 UTC

fsspec / gcsfs

Pythonic file-system interface for Google Cloud Storage

PythonBSD-3-Clause★ 394 stars⑂ 178 forkssince Jan 2017View on GitHub ↗

fsspec/gcsfs holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Vitality (96/100) and lowest on Security (21/100). It was last updated 1 day ago. 3 contributors account for most of its recent work.

89
overall / 100
Excellent

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.

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

Ownership

151 followers22 public repossince Oct 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIgcsfs2026.7.0-8629 days agofile-systemgcloudgoogle-cloud-storage

Metrics by category

Vitality

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

96Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 1 days ago
29.8/36Commit cadence43/52 weeks with commits
18/18Commit volume248 commits in the last year
0/10OpenSSF Scorecard: Maintainedno data
Inputs used
commits_last_year248
human_commit_share0.99
days_since_last_push1
active_weeks_last_year43

Release discipline

100Exceptional
How it's scored
27/27Ships releases4 releases published
36/36Release recencylatest release 29 days ago
27/27Release cadencea release every ~25 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count4
latest_release_tag2026.7.0
releases_from_tagsno
days_since_latest_release29
mean_days_between_releases25

Community & Adoption

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

68Good · 17% of overall
How it's scored
42.1/60Stars394 stars
18.7/25Forks178 forks
5/15Watchers9 watchers
Inputs used
forks178
stars394
watchers9
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

84Excellent · 23% of overall
How it's scored
36/54Bus factor3 contributor(s) cover half of all commits
16.2/22.5Commit distributiontop contributor authored 28% of commits
13.5/13.5Contributor breadth99 contributors
0/10OpenSSF Scorecard: Contributorsno data
Inputs used
bus_factor3
contributors_sampled99
top_contributor_share0.279
How it's scored
32.1/42Issue resolution76% of issues closed
26.8/30PR acceptance550/616 decided PRs merged
13/13Newcomer PR acceptance2/2 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Reviewno data
Inputs used
merged_prs550
open_issues86
closed_issues278
prs_merged_7d2
prs_decided_7d2
prs_merged_30d35
prs_decided_30d38
issue_closed_ratio0.764
closed_unmerged_prs66
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d2
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
15.7/25Owner reach151 followers of fsspec
19.5/25Track record22 public repos, account ~4 yr old
Inputs used
followers151
owner_typeOrganization
is_verified
owner_loginfsspec
public_repos22
account_age_days1,750
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 29 days ago
20/20Version history86 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesgcsfs
ecosystemspypi
any_deprecatedno
min_days_since_publish29

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttp://gcsfs.readthedocs.io/en/latest/
10/10Repository description
10/10Topics1 topics
10/10Wiki
Inputs used
topicshacktoberfest
has_wikiyes
homepagehttp://gcsfs.readthedocs.io/en/latest/
docs_sitehttp://gcsfs.readthedocs.io/en/latest/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

21At Risk · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfilespublished library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifestspyproject.toml, setup.cfg
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages36
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:gcsfs@2026.7.0 runtime dependency closure — what installing the published package pulls in — 36 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.

55Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history97 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.98
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
0/10Reproducible environment
10/10Demonstrated agent practice24 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.24
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
53.2/55Manageable file sizes5/154 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes134,326
source_files_sampled154
oversized_source_files5

Key facts

394GitHub stars
99contributors
248commits, last 12 months
1days since last push
4releases
3bus factor
86open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard did not return a usable result (2026/08/04 20:31:13 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 178 ⇿
0Stars
178Forks
4Releases

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.

0408012016020017752017-042021-112026-07
Major 0Minor 4Patch 0

Each point covers 9 days.

Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPIaiohttp!=4.0.0a0,!=4.0.0a1,>=3.9.0pyproject.toml
PyPIdecorator>4.1.2pyproject.toml
PyPIfsspec>=2026.6.0pyproject.toml
PyPIgoogle-auth>=1.2pyproject.toml
PyPIgoogle-auth-oauthlibpyproject.toml
PyPIgoogle-cloud-storage>=3.11.0pyproject.toml
PyPIgoogle-cloud-storage-controlpyproject.toml
PyPIrequestspyproject.toml
All dependencies 34

Full resolved dependency set from the GitHub dependency graph: 5 direct and 29 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttpdirect
PyPIdecoratordirect
PyPIfsspecdirect
PyPIgoogle-authdirect
PyPIgoogle-cloud-storagedirect
PyPIdatasetsindirect
PyPIdatasets5.0.0indirect
PyPIgcsfsindirect
PyPIgoogle-cloud-loggingindirect
PyPIgoogle-cloud-monitoringindirect
PyPIgoogle-cloud-monitoring2.28.0indirect
PyPIhatchlingindirect
PyPIlightningindirect
PyPInumpyindirect
PyPInumpy2.4.4indirect
PyPIprettytableindirect
PyPIprettytable3.17.0indirect
PyPIpsutilindirect
PyPIpsutil7.2.2indirect
PyPIpyarrowindirect
PyPIpyarrow24.0.0indirect
PyPIpytestindirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncioindirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-benchmarkindirect
PyPIpytest-benchmark5.2.3indirect
PyPIpytest-timeoutindirect
PyPIpytest-timeout2.4.0indirect
PyPIpyyamlindirect
PyPIpyyaml6.0.3indirect
PyPItorch2.12.1indirect
PyPItorchdataindirect
PyPItransformers4.46.3indirect
Dependency advisories 0

Installing pypi:gcsfs@2026.7.0 pulls in 36 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.

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 v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.