Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 13:51 UTC

OpenAdaptAI / OpenAdapt

Compiles a demonstrated GUI task into a program that reports VERIFIED only if an independent check agrees. pip install openadapt; openadapt flow tutorial. Compiler lives in openadapt-flow.

PythonMIT★ 1,720 stars⑂ 260 forkssince Apr 2023View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#process-automation#python#desktop-automation#gui-automation#local-first#workflow-automation#browser-automation#citrix#deterministic-replay#effect-verification#healthcare-automation#rdp#rpa#ui-automation#demonstration-compiler#automation-from-demonstration#workflow-compiler

OpenAdaptAI/OpenAdapt holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (95/100) and lowest on Sustainability & Governance (67/100). It was last updated 6 days ago. A single contributor accounts for most of its recent work.

92
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.

92
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 78 is calibrated to 92 on the published index scale (record calibration 2026-08-02).

Ownership

OpenAdapt.AIOrganization
105 followers54 public repossince May 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIopenadapt1.16.01,9079514 days agoautomationcitrixdesktopguirdpverificationworkflow

Metrics by category

Vitality

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

80Excellent · 21% of overall

Development activity

74Good
How it's scored
36/36Push recency — last push 6 days ago
9.7/36Commit cadence — 14/52 weeks with commits
18/18Commit volume — 236 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year236
human_commit_share0.91
days_since_last_push6
active_weeks_last_year14

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 14 days ago
27/27Release cadence — a release every ~2.7 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv1.16.0
releases_from_tagsno
days_since_latest_release14
mean_days_between_releases2.7

Community & Adoption

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

78Good · 17% of overall

Popularity & adoption

79Good
How it's scored
52.5/60Stars — 1,720 stars
20.1/25Forks — 260 forks
6.4/15Watchers — 15 watchers
Inputs used
forks260
stars1,720
watchers15
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

55Moderate
How it's scored
43.7/80Monthly downloads — 1,907 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesopenadapt
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,907
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

Maintainer resilience (bus factor)

44Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
11.1/22.5Commit distribution — top contributor authored 51% of commits
13.5/13.5Contributor breadth — 17 contributors
10/10OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled17
top_contributor_share0.508

Issue & PR responsiveness

72Good
How it's scored
41.7/42Issue resolution — 99% of issues closed
21/30PR acceptance — 432/616 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0
Inputs used
merged_prs432
open_issues4
closed_issues512
prs_merged_7d1
prs_decided_7d1
prs_merged_30d35
prs_decided_30d39
issue_closed_ratio0.992
closed_unmerged_prs184
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
14.6/25Owner reach — 105 followers of OpenAdaptAI
19.4/25Track record — 54 public repos, account ~3 yr old
Inputs used
followers105
owner_typeOrganization
is_verifiedno
owner_loginOpenAdaptAI
public_repos54
account_age_days1,223

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 14 days ago
20/20Version history — 95 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesopenadapt
ecosystemspypi
any_deprecatedno
min_days_since_publish14

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 11 workflow(s)
24/24Tests present
16/16Linter config — .eslintrc.json, .flake8, pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 24 out of 25 merged PRs checked by a CI test -- score normalized to 9
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://openadapt.ai
10/10Repository description
10/10Topics — 17 topics
10/10Wiki
Inputs used
topicsprocess-automation, python, desktop-automation, gui-automation, local-first, workflow-automation, browser-automation, citrix, deterministic-replay, effect-verification, healthcare-automation, rdp, rpa, ui-automation, demonstration-compiler, automation-from-demonstration, workflow-compiler
has_wikiyes
homepagehttps://openadapt.ai
docs_sitehttps://openadapt.ai
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

Security posture

61Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.2/2.5CI-Tests — 24 out of 25 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/29 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 7 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 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
4.5/5SAST — SAST tool detected but not run on all commits
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
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.1

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_packages40
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:openadapt@1.16.0 runtime dependency closure — what installing the published package pulls in — 40 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.

88Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://openadapt.ai/llms.txt)
40/40Legible commit history — 76 of 91 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://openadapt.ai/llms.txt
legible_history_share0.835
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes1,950

Verify loop (build / test / typecheck)

76Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .eslintrc.json, .flake8, pyproject.toml ([tool.ruff])
11/11Static type checking — legacy/openadapt/app/dashboard/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 21 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 9 of the last 100 commits are automated dependency updates
4/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configslegacy/openadapt/app/dashboard/tsconfig.json
agent_commit_share0.21
toolchain_manifests—
dependency_bot_commit_share0.09

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (legacy/openadapt/app/dashboard/tsconfig.json)
55/55Manageable file sizes — 0/224 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes57,775
source_files_sampled224
oversized_source_files0

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
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

1,720GitHub stars
17contributors
236commits, last 12 months
6days since last push
100releases
1bus factor
4open 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 ★ / 260 ⇿
0Stars
260Forks
94Releases

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.

05010015020025030025882023-042024-122026-08
Major 1Minor 34Patch 59

Each point covers 4 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 · 2026-09-10 13:51 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests24 out of 25 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/29 approved changesets -- score normalized to 0
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
10Maintained30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
9SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIclick>=8.0.0pyproject.toml
PyPIopenadapt-flow>=1.29.0,<2.0.0pyproject.toml
PyPIopenadapt-agent>=2.0.1,<3pyproject.toml
All dependencies 257

Full resolved dependency set from the GitHub dependency graph: 2 direct and 255 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIopenadapt-flow1.29.0direct
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PyPIunicrypto0.0.12indirect
PyPIuritemplate4.2.0indirect
PyPIurllib32.7.0indirect
PyPIwasabi1.1.3indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.6.0indirect
PyPIweasel1.0.0indirect
PyPIwebsockets16.0indirect
PyPIwin32-setctime1.2.0indirect
PyPIwrapt2.2.2indirect
PyPIyarl1.23.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:openadapt@1.16.0 pulls in 40 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.

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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.