Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 19:46 UTC

seleniumbase / SeleniumBase

📊 APIs for web automation, testing, and bypassing bot-detection.

PythonMIT★ 12,959 stars⑂ 1,581 forkssince Mar 2014View on GitHub ↗
KindCommand-line toolLibraryDesktop applicationMCP serverhow this is determined
#python#selenium#webdriver#selenium-python#e2e-testing#seleniumbase#web-automation#pytest#chromedriver#anti-detection#bot-detection#python-scraper#web-scraping#test-automation#playwright#chromium#end-to-end-testing#webscraping#stealth#data

seleniumbase/SeleniumBase holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Vitality (99/100) and lowest on AI Readiness (44/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

SeleniumBaseOrganization
219 followers5 public repossince Feb 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIseleniumbase4.52.42,952,6401,2002 days agopytestseleniumframeworkautomationbrowsertestingwebdriverseleniumbasesbaseweb-crawlingweb-scrapingstealthchromiumplaywrightanti-detectioncaptcha-bypassfingerprintrecaptchaturnstileheadless
PyPIseleniumbase-mcp1.0.135743 days agomcpmodel-context-protocolseleniumbasesbaseseleniumwebdriverbrowser-automationweb-scrapingcdpchrome-devtools-protocolclaudeclaude-desktopclaude-codeai-agentllm-toolstestingstealthbot-detectioncaptcha

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 1 days ago
34.6/36Commit cadence — 50/52 weeks with commits
18/18Commit volume — 848 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year848
human_commit_share1
days_since_last_push1
active_weeks_last_year50

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 2 days ago
27/27Release cadence — a release every ~3.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv4.52.4
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases3.4
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?

94Exceptional · 17% of overall

Popularity & adoption

97Exceptional
How it's scored
60/60Stars — 12,959 stars
25/25Forks — 1,581 forks
12.2/15Watchers — 155 watchers
Inputs used
forks1,581
stars12,959
watchers155
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges18
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 2,952,997 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesseleniumbase, seleniumbase-mcp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,952,997
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?

66Good · 23% of overall

Maintainer resilience (bus factor)

33At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.1/22.5Commit distribution — top contributor authored 100% of commits
13.5/13.5Contributor breadth — 33 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled33
top_contributor_share0.995

Issue & PR responsiveness

82Excellent
How it's scored
41.7/42Issue resolution — 99% of issues closed
28.4/30PR acceptance — 1,301/1,372 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 1/10 approved changesets -- score normalized to 1
Inputs used
merged_prs1,301
open_issues14
closed_issues2,051
prs_merged_7d3
prs_decided_7d3
prs_merged_30d9
prs_decided_30d9
issue_closed_ratio0.993
closed_unmerged_prs71
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

64Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
16.8/25Owner reach — 219 followers of seleniumbase
17.7/25Track record — 5 public repos, account ~10 yr old
Inputs used
followers219
owner_typeOrganization
is_verifiedno
owner_loginseleniumbase
public_repos5
account_age_days3,844

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on pypi
35/35Publish recency — latest publish 2 days ago
20/20Version history — 1,200 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesseleniumbase, seleniumbase-mcp
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — mcp_servers/setup.cfg ([flake8]), setup.cfg ([flake8])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 5 out of 5 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://seleniumbase.io
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicspython, selenium, webdriver, selenium-python, e2e-testing, seleniumbase, web-automation, pytest, chromedriver, anti-detection, bot-detection, python-scraper, web-scraping, test-automation, playwright, chromium, end-to-end-testing, webscraping, stealth, data
has_wikino
homepagehttps://seleniumbase.io
docs_sitehttps://seleniumbase.io
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

53Moderate · 16% of overall

Security posture

41Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 5 out of 5 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 1/10 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 5 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 10 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.1
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 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_packages60
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:seleniumbase@4.52.4 runtime dependency closure — what installing the published package pulls in — 60 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.

44Weak · 4% of overall

Agent context & guidance

9Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
9.1/40Legible commit history — 17 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.17
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

45Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — mcp_servers/setup.cfg ([flake8]), setup.cfg ([flake8])
0/11Static type checking
10/10Reproducible environment — Dockerfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.9/55Manageable file sizes — 12/577 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes765,172
source_files_sampled577
oversized_source_files12

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples, samples
Inputs used
example_dirsexamples, samples
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

12,959GitHub stars
33contributors
848commits, last 12 months
1days since last push
100releases
1bus factor
14open 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 ★ / 1,581 ⇿
0Stars
1,581Forks
98Releases

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.

4006008001,0001,2001,4001,6001,581532022-032024-062026-08
Major 0Minor 10Patch 88

Each point covers 5 days.

OpenSSF Scorecard 4.1 / 10
4.1aggregate

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 19:45 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests5 out of 5 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 1/10 approved changesets -- score normalized to 1
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
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
0Vulnerabilities10 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPImcp>=2.0.0,<3.0.0mcp_servers/pyproject.toml
PyPIseleniumbase—mcp_servers/pyproject.toml
All dependencies 103

Full resolved dependency set from the GitHub dependency graph: 2 direct and 101 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPImcp—direct
PyPIseleniumbase—direct
npmexpress~4.21.0indirect
PyPIallure-behave—indirect
PyPIallure-pytest—indirect
PyPIallure-python-commons—indirect
PyPIattrs—indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup4—indirect
PyPIbehave1.2.6indirect
PyPIcairocffi1.7.1indirect
PyPIcertifi—indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer—indirect
PyPIclick—indirect
PyPIcolorama—indirect
PyPIcoverage—indirect
PyPIcryptography50.0.0indirect
PyPIcssselect—indirect
PyPIexceptiongroup—indirect
PyPIexecnet2.1.2indirect
PyPIfasteners—indirect
PyPIfilelock—indirect
PyPIflake87.3.0indirect
PyPIghp-import2.1.0indirect
PyPIgreenlet—indirect
PyPIh110.16.0indirect
PyPIidna—indirect
PyPIiniconfig2.3.0indirect
PyPIjinja2—indirect
PyPImarkdown3.10.3indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe—indirect
PyPImccabe0.7.0indirect
PyPImdurl0.1.2indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-exclude-search0.6.7indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.6.23indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocs-simple-hooks0.1.5indirect
PyPImss10.2.0indirect
PyPImycdp—indirect
PyPIoutcome1.3.0.post0indirect
PyPIpackaging—indirect
PyPIpaginate0.5.7indirect
PyPIparameterized0.9.0indirect
PyPIparse—indirect
PyPIparse-type—indirect
PyPIpathspec1.1.1indirect
PyPIpdbp—indirect
PyPIpdfminer-six20260107indirect
PyPIpillow—indirect
PyPIpip—indirect
PyPIpip-system-certs—indirect
PyPIpipdeptree—indirect
PyPIplatformdirs—indirect
PyPIplaywright—indirect
PyPIpluggy1.6.0indirect
PyPIproxy-py2.4.3indirect
PyPIpsutil—indirect
PyPIpyautogui—indirect
PyPIpycodestyle2.14.0indirect
PyPIpycparser3.0indirect
PyPIpyee—indirect
PyPIpyflakes3.4.0indirect
PyPIpygments—indirect
PyPIpymdown-extensions—indirect
PyPIpynose—indirect
PyPIpyotp—indirect
PyPIpyreadline3—indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov—indirect
PyPIpytest-html4.0.2indirect
PyPIpytest-metadata3.1.1indirect
PyPIpytest-ordering0.6indirect
PyPIpytest-rerunfailures16.3indirect
PyPIpytest-rerunfailures16.6indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil—indirect
PyPIpython-xlib0.33indirect
PyPIpyyaml—indirect
PyPIregex—indirect
PyPIrequests—indirect
PyPIrich—indirect
PyPIsbvirtualdisplay—indirect
PyPIselenium4.47.0indirect
PyPIsetuptools—indirect
PyPIsix—indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve—indirect
PyPItabcompleter—indirect
PyPItrio—indirect
PyPItrio-websocket—indirect
PyPItyping-extensions—indirect
PyPIurllib3—indirect
PyPIuv—indirect
PyPIwatchdog6.0.0indirect
PyPIwebsocket-client—indirect
PyPIwebsockets—indirect
PyPIwheel—indirect
PyPIwsproto—indirect
Dependency advisories 0

Installing pypi:seleniumbase@4.52.4 pulls in 60 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.

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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 v0.34.0 — full methodology · metrics wiki.

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