Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 11:17 UTC

facebook / TestSlide

A Python test framework

PythonMIT★ 149 stars⑂ 62 forkssince Aug 2018View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

facebook/TestSlide holds a health index of 69 out of 100, placing it in the Good band. It scores highest on Community & Adoption (77/100) and lowest on Vitality (47/100). It was last updated 20 days ago. A single contributor accounts for most of its recent work.

69
overall / 100
Good

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.

69
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 62 is calibrated to 69 on the published index scale (record calibration 2026-08-02).

Ownership

MetaOrganization · verified domain
36,749 followers177 public repossince Apr 2009

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPITestSlide2.7.1178,336551280 days ago
PyPIpytest-testslidepoints to another repo — not scored2.6.3-12078 days ago

Metrics by category

Vitality

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

47Weak · 21% of overall
How it's scored
28.8/36Push recencylast push 20 days ago
8.3/36Commit cadence12/52 weeks with commits
11.3/18Commit volume17 commits in the last year
4/10OpenSSF Scorecard: Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
Inputs used
commits_last_year17
human_commit_share1
days_since_last_push20
active_weeks_last_year12
How it's scored
16.2/27Ships releases57 version tags (no GitHub releases)
0/36Release recencylatest release 1,280 days ago
19.8/27Release cadencea release every ~109.9 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count57
latest_release_tag2.7.1
releases_from_tagsyes
days_since_latest_release1,280
mean_days_between_releases109.9
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?

77Good · 17% of overall
How it's scored
35.2/60Stars149 stars
14.9/25Forks62 forks
7/15Watchers19 watchers
Inputs used
forks62
stars149
watchers19
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
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_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, coveralls.io, github.com, readthedocs.org, shields.io
has_pull_request_templateyes
How it's scored
70/80Monthly downloads178,336 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesTestSlide
dependents
ecosystemspypi
total_downloads
monthly_downloads178,336
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?

67Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
8.4/22.5Commit distributiontop contributor authored 62% of commits
13.5/13.5Contributor breadth45 contributors
10/10OpenSSF Scorecard: Contributorsproject has 16 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled45
top_contributor_share0.625
How it's scored
28.5/42Issue resolution68% of issues closed
20.1/30PR acceptance172/257 decided PRs merged
0/13Newcomer PR acceptance0/1 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs172
open_issues36
closed_issues76
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d1
issue_closed_ratio0.679
closed_unmerged_prs85
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
25/25Owner reach36,749 followers of facebook
25/25Track record177 public repos, account ~17 yr old
Inputs used
followers36,749
owner_typeOrganization
is_verifiedyes
owner_loginfacebook
public_repos177
account_age_days6,377
How it's scored
25/25Published & resolvable1 package(s) on pypi
4/35Publish recencylatest publish 1,280 days ago
20/20Version history55 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesTestSlide
ecosystemspypi
any_deprecatedno
min_days_since_publish1,280

Engineering Quality

Are baseline engineering and documentation practices in place?

62Moderate · 19% of overall
How it's scored
24/24CI workflows1 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics
has_wikino
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

59Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
2.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
0/2.5CI-Testsno data
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
2.5/2.5Contributorsproject has 16 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
3/7.5Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTno SAST tool detected
4.5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
4.5/7.5Vulnerabilities4 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.9
Excluded from scoring (no data or not applicable): CI-Tests, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages1
unassessed_packages15
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 1 resolved dependencies against OSV. 15 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

57Moderate · 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 history100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share1
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile, docs/Makefile
22/22Automated tests
0/11Lint / format config
11/11Static type checkingmypy.ini, py.typed, testslide/py.typed
10/10Reproducible environmentdevcontainer, Dockerfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontaineryes
has_linter_configno
typecheck_configsmypy.ini, py.typed, testslide/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (mypy.ini, py.typed, testslide/py.typed)
52.2/55Manageable file sizes2/40 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes70,747
source_files_sampled40
oversized_source_files2

Key facts

149GitHub stars
45contributors
17commits, last 12 months
20days since last push
57releases
1bus factor
36open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'pytest-testslide' points at a different repository (https://github.com/facebookincubator/TestSlide/tree/master/pytest-testslide); excluded from ecosystem scoring

More detail

Star and fork history 0 ★ / 62 ⇿
0Stars
62Forks
40Releases

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.

013253850636222019-032022-122026-09
Major 1Minor 11Patch 28

Each point covers 7 days.

OpenSSF Scorecard 4.9 / 10
4.9aggregate

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 · 2026-09-17 11:16 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 16 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
4Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
9Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6Vulnerabilities4 existing vulnerabilities detected
All dependencies 16

Full resolved dependency set from the GitHub dependency graph: 0 direct and 16 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcoverageindirect
PyPIcoverallsindirect
PyPIdataclassesindirect
PyPIflake8indirect
PyPIipythonindirect
PyPImypy1.2indirect
PyPIpsutilindirect
PyPIpygmentsindirect
PyPIpytestindirect
PyPIpytest-asyncioindirect
PyPIruffindirect
PyPIsphinxindirect
PyPIsphinx-autobuildindirect
PyPIsphinx-kr-themeindirect
PyPItwineindirect
PyPItypeguardindirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 1 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 15 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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 statisticsPyPI.