Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 07:12 UTC

appium / python-client

Python language bindings for Appium

PythonApache-2.0★ 1,841 stars⑂ 570 forkssince Apr 2014View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

appium/python-client holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on Security (69/100). It was last updated 1 day ago. 2 contributors account for most of its recent work.

96
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.

96
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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

AppiumOrganization
1,315 followers112 public repossince Jan 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIAppium-Python-Client6.0.64,561,2331304 days agoappiummobile-automationpython-clientselenium

Metrics by category

Vitality

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

90Excellent · 21% of overall
How it's scored
36/36Push recency — last push 1 days ago
25.6/36Commit cadence — 37/52 weeks with commits
18/18Commit volume — 139 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year139
human_commit_share0.46
days_since_last_push1
active_weeks_last_year37
How it's scored
27/27Ships releases — 25 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~21.3 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count25
latest_release_tagv6.0.6
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases21.3

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

85Excellent · 17% of overall
How it's scored
53/60Stars — 1,841 stars
23/25Forks — 570 forks
11.1/15Watchers — 102 watchers
Inputs used
forks570
stars1,841
watchers102
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
7.2/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingno
has_issue_templateyes
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, github.com
has_pull_request_templateno
How it's scored
80/80Monthly downloads — 4,561,233 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesAppium-Python-Client
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,561,233
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
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.5/22.5Commit distribution — top contributor authored 44% of commits
13.5/13.5Contributor breadth — 66 contributors
10/10OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled66
top_contributor_share0.444
How it's scored
39.9/42Issue resolution — 95% of issues closed
25.2/30PR acceptance — 742/885 decided PRs merged
13/13Newcomer PR acceptance — 5/5 first-time contributors' PRs merged in 30d
6/15OpenSSF Scorecard: Code-Review — Found 10/21 approved changesets -- score normalized to 4
Inputs used
merged_prs742
open_issues21
closed_issues397
prs_merged_7d7
prs_decided_7d7
prs_merged_30d15
prs_decided_30d17
issue_closed_ratio0.95
closed_unmerged_prs143
first_time_authors_30d2
first_time_prs_merged_30d5
first_time_prs_decided_30d5
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
22.4/25Owner reach — 1,315 followers of appium
25/25Track record — 112 public repos, account ~13 yr old
Inputs used
followers1,315
owner_typeOrganization
is_verifiedno
owner_loginappium
public_repos112
account_age_days4,999

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 4 days ago
20/20Version history — 130 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesAppium-Python-Client
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — .ruff.toml
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 24 out of 24 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://appium.io/
10/10Repository description
10/10Topics — 2 topics
10/10Wiki
Inputs used
topicsappium, python
has_wikiyes
homepage—
docs_sitehttps://appium.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

69Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 24 out of 24 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
3/7.5Code-Review — Found 10/21 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 9 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.1
Excluded from scoring (no data or not applicable): Branch-Protection. 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_packages15
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:Appium-Python-Client@6.0.6 runtime dependency closure — what installing the published package pulls in — 15 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.

72Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://www.selenium.dev/llms.txt)
40/40Legible commit history — 37 of 46 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://www.selenium.dev/llms.txt
legible_history_share0.804
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format config — .ruff.toml
11/11Static type checking — appium/py.typed
10/10Reproducible environment — lockfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 54 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsappium/py.typed
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0.54
How it's scored
27/45Type-checkable code — Python with type-check config (appium/py.typed)
55/55Manageable file sizes — 0/390 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes31,513
source_files_sampled390
oversized_source_files0

Key facts

1,841GitHub stars
66contributors
139commits, last 12 months
1days since last push
25releases
2bus factor
21open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'Appium-Python-Client' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for Appium-Python-Client carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

Star and fork history 0 ★ / 570 ⇿
0Stars
570Forks
19Releases

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.

010020030040050060056462014-042020-062026-09
Major 1Minor 1Patch 8

Each point covers 12 days.

OpenSSF Scorecard 6.1 / 10
6.1aggregate

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 · 2026-09-17 07:11 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests24 out of 24 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 10/21 approved changesets -- score normalized to 4
10Contributorsproject has 9 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 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow 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
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIselenium>=4.37.0,<5.0pyproject.toml
PyPItyping-extensions~=4.16pyproject.toml
All dependencies 94

Full resolved dependency set from the GitHub dependency graph: 2 direct and 92 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIselenium4.48.0direct
PyPItyping-extensions4.16.0direct
PyPIalabaster1.0.0indirect
PyPIannotated-types0.7.0indirect
PyPIappium-python-client6.0.6indirect
PyPIast-serialize0.6.0indirect
PyPIattrs25.4.0indirect
PyPIbabel2.17.0indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.1.8indirect
PyPIclick-option-group0.5.9indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.1indirect
PyPIdeprecated1.3.1indirect
PyPIdistlib0.4.0indirect
PyPIdocutils0.21.2indirect
PyPIdotty-dict1.3.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfilelock3.20.3indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.59indirect
PyPIh110.16.0indirect
PyPIhttpretty1.1.4indirect
PyPIidentify2.6.16indirect
PyPIidna3.15indirect
PyPIimagesize1.4.1indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.13.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImock5.2.0indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPIoutcome1.3.0.post0indirect
PyPIpackaging26.0indirect
PyPIpathspec1.0.3indirect
PyPIpbr7.0.3indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.20.0indirect
PyPIpysocks1.7.1indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-gitlab6.5.0indirect
PyPIpython-semantic-release10.6.2indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.33.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrich15.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIroman-numerals-py4.1.0indirect
PyPIruff0.16.6indirect
PyPIsetuptools83.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.2indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsphinx8.1.3indirect
PyPIsphinx8.2.3indirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinxcontrib-apidoc0.6.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItomli2.4.0indirect
PyPItomlkit0.15.1indirect
PyPItrio0.32.0indirect
PyPItrio-websocket0.12.2indirect
PyPItypes-python-dateutil2.9.0.20260807indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv20.36.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwrapt2.0.1indirect
PyPIwsproto1.3.2indirect
Dependency advisories 0

Installing pypi:Appium-Python-Client@6.0.6 pulls in 15 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 statistics — PyPI.