Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 16:13 UTC

microsoft / playwright-pytest

Pytest plugin to write end-to-end browser tests with Playwright.

PythonApache-2.0★ 558 stars⑂ 90 forkssince Aug 2020View on GitHub ↗
KindPluginLibraryhow this is determined

microsoft/playwright-pytest holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (82/100) and lowest on AI Readiness (58/100). It was last updated 5 days ago. A single contributor accounts 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

MicrosoftOrganization · verified domain
128,539 followers8,287 public repossince Dec 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpytest-playwright0.9.010,381,5263917 days ago
PyPIpytest-playwright-asyncio0.9.0198,809917 days ago

Metrics by category

Vitality

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

69Good · 21% of overall
How it's scored
36/36Push recencylast push 5 days ago
4.8/36Commit cadence7/52 weeks with commits
10/18Commit volume12 commits in the last year
2/10OpenSSF Scorecard: Maintained3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
Inputs used
commits_last_year12
human_commit_share0.8
days_since_last_push5
active_weeks_last_year7
How it's scored
27/27Ships releases35 releases published
36/36Release recencylatest release 17 days ago
19.8/27Release cadencea release every ~85.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count35
latest_release_tagv0.9.0
releases_from_tagsno
days_since_latest_release17
mean_days_between_releases85.3
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?

82Excellent · 17% of overall
How it's scored
44.5/60Stars558 stars
16.2/25Forks90 forks
6.5/15Watchers16 watchers
Inputs used
forks90
stars558
watchers16
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads10,580,335 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagespytest-playwright, pytest-playwright-asyncio
dependents
ecosystemspypi
total_downloads
monthly_downloads10,580,335
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?

79Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
7.5/22.5Commit distributiontop contributor authored 67% of commits
13.5/13.5Contributor breadth27 contributors
10/10OpenSSF Scorecard: Contributorsproject has 7 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled27
top_contributor_share0.667
How it's scored
37.1/42Issue resolution88% of issues closed
25.4/30PR acceptance139/164 decided PRs merged
13/13Newcomer PR acceptance1/1 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-ReviewFound 23/24 approved changesets -- score normalized to 9
Inputs used
merged_prs139
open_issues16
closed_issues122
prs_merged_7d0
prs_decided_7d0
prs_merged_30d3
prs_decided_30d3
issue_closed_ratio0.884
closed_unmerged_prs25
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
25/25Owner reach128,539 followers of microsoft
25/25Track record8,287 public repos, account ~12 yr old
Inputs used
followers128,539
owner_typeOrganization
is_verifiedyes
owner_loginmicrosoft
public_repos8,287
account_age_days4,642

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable2 package(s) on pypi
35/35Publish recencylatest publish 17 days ago
20/20Version history39 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespytest-playwright, pytest-playwright-asyncio
ecosystemspypi
any_deprecatedno
min_days_since_publish17

Engineering Quality

Are baseline engineering and documentation practices in place?

75Good · 19% of overall
How it's scored
24/24CI workflows1 workflow(s)
24/24Tests present
16/16Linter configsetup.cfg ([flake8])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
8/20OpenSSF Scorecard: CI-Tests12 out of 29 merged PRs checked by a CI test -- score normalized to 4
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://playwright.dev/python/docs/test-runners
10/10Repository description
10/10Topics3 topics
0/10Wiki
Inputs used
topicspytest-plugin, playwright, testing-tools
has_wikino
homepagehttps://playwright.dev/python/docs/test-runners
docs_sitehttps://playwright.dev/python/docs/test-runners
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

66Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
6/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
1/2.5CI-Tests12 out of 29 merged PRs checked by a CI test -- score normalized to 4
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-ReviewFound 23/24 approved changesets -- score normalized to 9
2.5/2.5Contributorsproject has 7 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
1.5/7.5Maintained3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
0/5Packagingno data
2/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
0.5/5SASTSAST tool is not run on all commits -- score normalized to 1
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities30 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.7
Excluded from scoring (no data or not applicable): 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
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_packages17
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:pytest-playwright@0.9.0 runtime dependency closure — what installing the published package pulls in — 17 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.

58Moderate · 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 history80 of 80 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
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configsetup.cfg ([flake8])
11/11Static type checkingpytest-playwright-asyncio/pytest_playwright_asyncio/py.typed, pytest-playwright/pytest_playwright/py.typed
0/10Reproducible environment
6/10Demonstrated agent practice3 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance20 of the last 100 commits are automated dependency updates
4/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configspytest-playwright-asyncio/pytest_playwright_asyncio/py.typed, pytest-playwright/pytest_playwright/py.typed
agent_commit_share0.03
toolchain_manifests
dependency_bot_commit_share0.2
How it's scored
27/45Type-checkable codePython with type-check config (pytest-playwright-asyncio/pytest_playwright_asyncio/py.typed, pytest-playwright/pytest_playwright/py.typed)
55/55Manageable file sizes0/12 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes36,716
source_files_sampled12
oversized_source_files0

Key facts

558GitHub stars
27contributors
12commits, last 12 months
5days since last push
35releases
1bus factor
16open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 90 ⇿
0Stars
90Forks
35Releases

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.

0204060801008932020-082023-082026-08
Major 0Minor 9Patch 26

Each point covers 6 days.

OpenSSF Scorecard 5.7 / 10
5.7aggregate

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 · 2026-08-27 16:12 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
4CI-Tests12 out of 29 merged PRs checked by a CI test -- score normalized to 4
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 23/24 approved changesets -- score normalized to 9
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
2Maintained3 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 2
n/aPackagingpackaging workflow not detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
1SASTSAST tool is not run on all commits -- score normalized to 1
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities30 existing vulnerabilities detected
Direct dependencies 9
RegistryPackageVersion constraintManifest
PyPIplaywright>=1.18pytest-playwright-asyncio/pyproject.toml
PyPIpytest>=6.2.4,<10.0.0pytest-playwright-asyncio/pyproject.toml
PyPIpytest-base-url>=1.0.0,<3.0.0pytest-playwright-asyncio/pyproject.toml
PyPIpython-slugify>=6.0.0,<9.0.0pytest-playwright-asyncio/pyproject.toml
PyPIpytest-asyncio>=0.24.0pytest-playwright-asyncio/pyproject.toml
PyPIplaywright>=1.18pytest-playwright/pyproject.toml
PyPIpytest>=6.2.4,<10.0.0pytest-playwright/pyproject.toml
PyPIpytest-base-url>=1.0.0,<3.0.0pytest-playwright/pyproject.toml
PyPIpython-slugify>=6.0.0,<9.0.0pytest-playwright/pyproject.toml
All dependencies 16

Full resolved dependency set from the GitHub dependency graph: 6 direct and 10 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIplaywrightdirect
PyPIpytestdirect
PyPIpytest-asynciodirect
PyPIpytest-asyncio1.3.0direct
PyPIpytest-base-urldirect
PyPIpython-slugifydirect
PyPIblack24.3.0indirect
PyPIbuild1.2.2.post1indirect
PyPIdjango4.2.24indirect
PyPIflake87.1.1indirect
PyPImypy0.961indirect
PyPIpre-commit4.0.1indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-xdist3.8.0indirect
PyPItwine4.0.1indirect
PyPIwheel0.38.1indirect
Dependency advisories 0

Installing pypi:pytest-playwright@0.9.0 pulls in 17 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 statisticsPyPI.