Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 21:52 UTC

microsoft / playwright-python

Python version of the Playwright testing and automation library.

PythonApache-2.0★ 14,955 stars⑂ 1,216 forkssince Jul 2020View on GitHub ↗
KindCommand-line toolPluginLibraryhow this is determined

microsoft/playwright-python holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Community & Adoption (91/100) and lowest on Security (70/100). It was last updated today. A single contributor accounts for most of its recent work.

94
overall / 100
Exceptional

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.

94
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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

MicrosoftOrganization · verified domain
128,549 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
PyPIplaywright1.62.0-8427 days ago

Metrics by category

Vitality

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

87Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
15.2/36Commit cadence22/52 weeks with commits
17.6/18Commit volume89 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year89
human_commit_share0.56
days_since_last_push0
active_weeks_last_year22

Release discipline

100Exceptional
How it's scored
27/27Ships releases100 releases published
36/36Release recencylatest release 27 days ago
27/27Release cadencea release every ~44.6 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count100
latest_release_tagv1.62.0
releases_from_tagsno
days_since_latest_release27
mean_days_between_releases44.6
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?

91Excellent · 17% of overall
How it's scored
60/60Stars14,955 stars
25/25Forks1,216 forks
12.1/15Watchers154 watchers
Inputs used
forks1,216
stars14,955
watchers154
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_badges2
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, shields.io
has_pull_request_templateno

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
10.6/22.5Commit distributiontop contributor authored 53% of commits
13.5/13.5Contributor breadth53 contributors
10/10OpenSSF Scorecard: Contributorsproject has 13 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled53
top_contributor_share0.527
How it's scored
41.9/42Issue resolution100% of issues closed
24.5/30PR acceptance1,036/1,266 decided PRs merged
2.2/13Newcomer PR acceptance1/6 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs1,036
open_issues3
closed_issues1,544
prs_merged_7d0
prs_decided_7d0
prs_merged_30d6
prs_decided_30d16
issue_closed_ratio0.998
closed_unmerged_prs230
first_time_authors_30d4
first_time_prs_merged_30d1
first_time_prs_decided_30d6
How it's scored
30/30Ownership backingorganization-owned
20/20Verified domain
25/25Owner reach128,549 followers of microsoft
25/25Track record8,287 public repos, account ~12 yr old
Inputs used
followers128,549
owner_typeOrganization
is_verifiedyes
owner_loginmicrosoft
public_repos8,287
account_age_days4,643

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 27 days ago
20/20Version history84 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesplaywright
ecosystemspypi
any_deprecatedno
min_days_since_publish27

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter config.eslintrc, pyproject.toml ([tool.isort]), setup.cfg ([flake8])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
6/20OpenSSF Scorecard: CI-Tests11 out of 30 merged PRs checked by a CI test -- score normalized to 3
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/
10/10Repository description
10/10Topics4 topics
0/10Wiki
Inputs used
topicsplaywright, chromium, firefox, webkit
has_wikino
homepagehttps://playwright.dev/python/
docs_sitehttps://playwright.dev/python/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

70Good · 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
0.8/2.5CI-Tests11 out of 30 merged PRs checked by a CI test -- score normalized to 3
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 13 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
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
1/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0/5SASTSAST tool is not run on all commits -- score normalized to 0
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.3
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_packages3
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:playwright@1.62.0 runtime dependency closure — what installing the published package pulls in — 3 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.

82Excellent · 4% of overall
How it's scored
45/45Agent instructionsCLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history56 of 56 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share1
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes6,583
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config.eslintrc, pyproject.toml ([tool.isort]), setup.cfg ([flake8])
11/11Static type checkingplaywright/py.typed
10/10Reproducible environmentDockerfile
10/10Demonstrated agent practice15 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance44 of the last 100 commits are automated dependency updates
2/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configsplaywright/py.typed
agent_commit_share0.15
toolchain_manifests
dependency_bot_commit_share0.44
How it's scored
27/45Type-checkable codePython with type-check config (playwright/py.typed)
54.4/55Manageable file sizes3/275 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes964,930
source_files_sampled275
oversized_source_files3
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 examplesexamples
Inputs used
example_dirsexamples
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

14,955GitHub stars
53contributors
89commits, last 12 months
0days since last push
100releases
1bus factor
3open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'playwright' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 1,216 ⇿
0Stars
1,216Forks
87Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

02505007501,0001,2501,216162020-122023-102026-08
Major 0Minor 55Patch 31

Each point covers 6 days.

OpenSSF Scorecard 6.3 / 10
6.3aggregate

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 21:52 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
3CI-Tests11 out of 30 merged PRs checked by a CI test -- score normalized to 3
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 13 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIpyee>=13,<14pyproject.toml
PyPIgreenlet>=3.1.1,<4.0.0pyproject.toml
All dependencies 26

Full resolved dependency set from the GitHub dependency graph: 4 direct and 22 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIgreenletdirect
PyPIgreenlet3.5.4direct
PyPIpyeedirect
PyPIpyee13.0.1direct
PyPIasyncio-atexit1.0.1indirect
PyPIauditwheel6.7.0indirect
PyPIautobahn23.1.2indirect
PyPIbuild1.5.0indirect
PyPImypy2.3.0indirect
PyPIobjgraph3.6.2indirect
PyPIpillow12.3.0indirect
PyPIpixelmatch0.3.0indirect
PyPIpre-commit3.5.0indirect
PyPIpyopenssl26.0.0indirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-playwrightindirect
PyPIpytest-rerunfailures16.4indirect
PyPIpytest-timeout2.4.0indirect
PyPIservice-identity24.2.0indirect
PyPIsetuptools82.0.1indirect
PyPIsetuptools-scm10.2.1indirect
PyPItwisted25.5.0indirect
PyPItypes-pyopenssl24.1.0.20240722indirect
PyPItyping-extensions4.16.0indirect
PyPIwheel0.47.0indirect
Dependency advisories 0

Installing pypi:playwright@1.62.0 pulls in 3 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.