Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-18 14:14 UTC

fsspec / universal_pathlib

pathlib api extended to use fsspec backends

PythonMIT★ 397 stars⑂ 53 forkssince Nov 2020View on GitHub ↗

fsspec/universal_pathlib holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (89/100) and lowest on Security (56/100). It was last updated 82 days ago. 2 contributors account for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

150 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
PyPIuniversal_pathlib0.3.10-43145 days agofilesystem-specpathlib

Metrics by category

Vitality

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

65Good · 21% of overall
How it's scored
18/36Push recencylast push 82 days ago
13.2/36Commit cadence19/52 weeks with commits
17.9/18Commit volume98 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year98
human_commit_share
days_since_last_push82
active_weeks_last_year19
How it's scored
27/27Ships releases46 releases published
27/36Release recencylatest release 145 days ago
27/27Release cadencea release every ~15.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count46
latest_release_tagv0.3.10
releases_from_tagsno
days_since_latest_release145
mean_days_between_releases15.8
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?

65Good · 17% of overall
How it's scored
42.1/60Stars397 stars
14.3/25Forks53 forks
4.7/15Watchers8 watchers
Inputs used
forks53
stars397
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
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?

75Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
13.5/22.5Commit distributiontop contributor authored 40% of commits
13.5/13.5Contributor breadth29 contributors
10/10OpenSSF Scorecard: Contributorsproject has 10 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled29
top_contributor_share0.398
How it's scored
34.1/42Issue resolution81% of issues closed
21.8/30PR acceptance263/362 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 4/27 approved changesets -- score normalized to 1
Inputs used
merged_prs263
open_issues36
closed_issues156
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.812
closed_unmerged_prs99
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
15.7/25Owner reach150 followers of fsspec
19.4/25Track record22 public repos, account ~4 yr old
Inputs used
followers150
owner_typeOrganization
is_verified
owner_loginfsspec
public_repos22
account_age_days1,732
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 145 days ago
20/20Version history43 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesuniversal_pathlib
ecosystemspypi
any_deprecatedno
min_days_since_publish145

Engineering Quality

Are baseline engineering and documentation practices in place?

89Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter config.flake8
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
14/20OpenSSF Scorecard: CI-Tests21 out of 30 merged PRs checked by a CI test -- score normalized to 7
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 sitehttps://universal-pathlib.readthedocs.org
10/10Repository description
10/10Topics2 topics
0/10Wiki
Inputs used
topicsfsspec, pathlib
has_wikino
homepagehttps://universal-pathlib.readthedocs.org
docs_sitehttps://universal-pathlib.readthedocs.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

56Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
1.8/2.5CI-Tests21 out of 30 merged PRs checked by a CI test -- score normalized to 7
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 4/27 approved changesets -- score normalized to 1
2.5/2.5Contributorsproject has 10 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
0/7.5Maintained0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0.5/5SASTSAST tool is not run on all commits -- score normalized to 1
2/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
6.8/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.6
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

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.

57Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapnoxfile.py
22/22Automated tests
11/11Lint / format config.flake8
11/11Static type checkingupath/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno data
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesnoxfile.py
has_devcontainerno
has_linter_configyes
typecheck_configsupath/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
27/45Type-checkable codePython with type-check config (upath/py.typed)
51.1/55Manageable file sizes5/70 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes139,737
source_files_sampled70
oversized_source_files5
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesnotebooks
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

397GitHub stars
29contributors
98commits, last 12 months
82days since last push
46releases
2bus factor
36open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 5.6 / 10
5.6aggregate

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 · 2026-07-18 14:13 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
7CI-Tests21 out of 30 merged PRs checked by a CI test -- score normalized to 7
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 4/27 approved changesets -- score normalized to 1
10Contributorsproject has 10 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 0
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
1SASTSAST tool is not run on all commits -- score normalized to 1
4Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIfsspec>=2024.5.0pyproject.toml
PyPIpathlib-abc>=0.5.1,<0.6.0pyproject.toml
All dependencies 15

Full resolved dependency set from the GitHub dependency graph: 1 direct and 14 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIfsspec2025.10.0direct
PyPIadlfs2025.8.0indirect
PyPIboxfs0.3.0indirect
PyPIdropboxdrivefs1.4.1indirect
PyPIdvc3.66.1indirect
PyPIfsspec-xrootd0.5.1indirect
PyPIgcsfs2025.10.0indirect
PyPIhuggingface-hub1.4.1indirect
PyPIlakefs-spec0.12.0indirect
PyPImorefs0.2.2indirect
PyPIocifs1.3.4indirect
PyPIossfs2025.5.0indirect
PyPIs3fs2025.10.0indirect
PyPIwandbfs0.0.2indirect
PyPIwebdav40.10.0indirect
Raw JSON report machine-readable

Feedback

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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 v0.12.0 — full methodology · metrics wiki.

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