Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 11:40 UTC

fsspec / gcsfs

Pythonic file-system interface for Google Cloud Storage

PythonBSD-3-Clause★ 398 stars⑂ 181 forkssince Jan 2017View on GitHub ↗

fsspec/gcsfs holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Vitality (97/100) and lowest on Security (21/100). It was last updated today. 4 contributors account for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

153 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
PyPIgcsfs2026.8.1-885 days agofile-systemgcloudgoogle-cloud-storage

Metrics by category

Vitality

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

97Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
31.8/36Commit cadence — 46/52 weeks with commits
18/18Commit volume — 292 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year292
human_commit_share0.98
days_since_last_push0
active_weeks_last_year46

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 6 releases published
36/36Release recency — latest release 5 days ago
27/27Release cadence — a release every ~28.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count6
latest_release_tag2026.8.1
releases_from_tagsno
days_since_latest_release5
mean_days_between_releases28.4

Community & Adoption

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

68Good · 17% of overall
How it's scored
42.2/60Stars — 398 stars
18.8/25Forks — 181 forks
5.3/15Watchers — 10 watchers
Inputs used
forks181
stars398
watchers10
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized 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?

78Good · 23% of overall
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
16.6/22.5Commit distribution — top contributor authored 26% of commits
13.5/13.5Contributor breadth — 99 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor4
contributors_sampled99
top_contributor_share0.26
How it's scored
32.3/42Issue resolution — 77% of issues closed
26.8/30PR acceptance — 599/670 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs599
open_issues85
closed_issues283
prs_merged_7d14
prs_decided_7d18
prs_merged_30d18
prs_decided_30d22
issue_closed_ratio0.769
closed_unmerged_prs71
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
15.7/25Owner reach — 153 followers of fsspec
19.7/25Track record — 22 public repos, account ~4 yr old
Inputs used
followers153
owner_typeOrganization
is_verifiedno
owner_loginfsspec
public_repos22
account_age_days1,792

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 5 days ago
20/20Version history — 88 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgcsfs
ecosystemspypi
any_deprecatedno
min_days_since_publish5

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.isort]), setup.cfg ([flake8])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no 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 site — http://gcsfs.readthedocs.io/en/latest/
10/10Repository description
10/10Topics — 1 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 lockfiles — published 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 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_packages37
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@2026.8.1 runtime dependency closure — what installing the published package pulls in — 37 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.

56Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 97 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.99
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.isort]), setup.cfg ([flake8])
0/11Static type checking
0/10Reproducible environment
10/10Demonstrated agent practice — 9 of the last 100 commits agent-authored or agent-credited
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_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.09
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
53.5/55Manageable file sizes — 6/216 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes134,343
source_files_sampled216
oversized_source_files6

Key facts

398GitHub stars
99contributors
292commits, last 12 months
0days since last push
6releases
4bus factor
85open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'gcsfs' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • OpenSSF Scorecard did not return a usable result (killed by SIGKILL — most likely the container's memory limit); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 181 ⇿
0Stars
181Forks
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.

0408012016020018052017-042021-122026-08
Major 0Minor 5Patch 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>=2026.7.0pyproject.toml
PyPIgoogle-auth>=1.2pyproject.toml
PyPIgoogle-auth-oauthlib—pyproject.toml
PyPIgoogle-cloud-storage>=3.14.1pyproject.toml
PyPIgoogle-cloud-storage-control—pyproject.toml
PyPIrequests—pyproject.toml
All dependencies 44

Full resolved dependency set from the GitHub dependency graph: 5 direct and 39 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttp—direct
PyPIdecorator—direct
PyPIfsspec—direct
PyPIgoogle-auth—direct
PyPIgoogle-cloud-storage—direct
PyPIdatasets—indirect
PyPIdatasets5.0.0indirect
PyPIgcsfs—indirect
PyPIgoogle-cloud-logging—indirect
PyPIgoogle-cloud-monitoring—indirect
PyPIgoogle-cloud-monitoring2.28.0indirect
PyPIhatchling—indirect
PyPIlightning—indirect
PyPInumpy—indirect
PyPInumpy2.4.4indirect
PyPIpackaging—indirect
PyPIpillow12.1.0indirect
PyPIprettytable—indirect
PyPIprettytable3.17.0indirect
PyPIpsutil—indirect
PyPIpsutil7.2.2indirect
PyPIpy-spy—indirect
PyPIpyarrow—indirect
PyPIpyarrow24.0.0indirect
PyPIpydantic2.13.5indirect
PyPIpytest—indirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncio—indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-benchmark—indirect
PyPIpytest-benchmark5.2.3indirect
PyPIpytest-timeout—indirect
PyPIpytest-timeout2.4.0indirect
PyPIpyyaml—indirect
PyPIpyyaml6.0.3indirect
PyPIray2.56.1indirect
PyPIray2.58.0indirect
PyPIsafetensors—indirect
PyPItorch2.12.1indirect
PyPItorchdata—indirect
PyPItorchvision—indirect
PyPItransformers4.46.3indirect
PyPItransformers4.57.6indirect
PyPIwebdataset1.0.2indirect
Dependency advisories 0

Installing pypi:gcsfs@2026.8.1 pulls in 37 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 v0.34.0 — full methodology · metrics wiki.

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