Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-12 11:05 UTC

DecartAI / decart-python

Python SDK for Decart AI

PythonMIT★ 21 stars⑂ 9 forkssince Oct 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

DecartAI/decart-python holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Vitality (94/100) and lowest on Security (42/100). It was last updated today. A single contributor accounts for most of its recent work.

75
overall / 100
Good

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.

75
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 65 is calibrated to 75 on the published index scale (record calibration 2026-08-02).

Ownership

DecartAIOrganization
132 followers20 public repossince Aug 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdecart0.2.25,576470 days agoaidecartgenerationimagetransformationvideo

Metrics by category

Vitality

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

94Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
26.3/36Commit cadence — 38/52 weeks with commits
18/18Commit volume — 125 commits in the last year
10/10OpenSSF Scorecard: Maintained — 16 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year125
human_commit_share1
days_since_last_push0
active_weeks_last_year38

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 45 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~14.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count45
latest_release_tagv0.2.2
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases14.6
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?

45Weak · 17% of overall
How it's scored
21.1/60Stars — 21 stars
7.5/25Forks — 9 forks
0/15Watchers — 0 watchers
Inputs used
forks9
stars21
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno
How it's scored
50/80Monthly downloads — 5,576 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdecart
dependents—
ecosystemspypi
total_downloads—
monthly_downloads5,576
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?

56Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4.4/22.5Commit distribution — top contributor authored 80% of commits
8.1/13.5Contributor breadth — 6 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.803
How it's scored
0/42Issue resolution — 0% of issues closed
29.1/30PR acceptance — 68/70 decided PRs merged
13/13Newcomer PR acceptance — 3/3 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 4/30 approved changesets -- score normalized to 1
Inputs used
merged_prs68
open_issues1
closed_issues0
prs_merged_7d2
prs_decided_7d2
prs_merged_30d6
prs_decided_30d7
issue_closed_ratio0
closed_unmerged_prs2
first_time_authors_30d1
first_time_prs_merged_30d3
first_time_prs_decided_30d3
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
15.3/25Owner reach — 132 followers of DecartAI
15.9/25Track record — 20 public repos, account ~3 yr old
Inputs used
followers132
owner_typeOrganization
is_verifiedno
owner_loginDecartAI
public_repos20
account_age_days1,149

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 47 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdecart
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 18 out of 18 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
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://docs.platform.decart.ai/sdks/python
10/10Repository description
10/10Topics — 5 topics
10/10Wiki
Inputs used
topicsai, decart, realtime, webrtc, python
has_wikiyes
homepagehttps://docs.platform.decart.ai/sdks/python
docs_sitehttps://docs.platform.decart.ai/sdks/python
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

42Weak · 16% of overall
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 — 18 out of 18 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 4/30 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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 — 16 commit(s) and 0 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
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 40 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.9
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.
How it's scored
9.5/35Direct dependencies free of known advisories — 1 affected: aiohttp 3.13.1 (critical 9.1)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
32.6/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 279 days ago
Inputs used
sourceosv
advisories74
affected_packages6
assessed_packages49
unassessed_packages1
affected_by_severitycritical 2, moderate 3, low 1
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 49 resolved dependencies against OSV. 1 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

69Good · 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://docs.platform.decart.ai/llms.txt)
40/40Legible commit history — 97 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.platform.decart.ai/llms.txt
legible_history_share0.97
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black])
11/11Static type checking — decart/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 7 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
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsdecart/py.typed
agent_commit_share0.07
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (decart/py.typed)
55/55Manageable file sizes — 0/45 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes26,713
source_files_sampled45
oversized_source_files0
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

21GitHub stars
6contributors
125commits, last 12 months
0days since last push
45releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:decart@0.2.2; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 9 ⇿
0Stars
9Forks
18Releases

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.

0246810912026-032026-072026-10
Major 0Minor 2Patch 16
OpenSSF Scorecard 3.9 / 10
3.9aggregate

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 · 2026-10-12 11:05 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests18 out of 18 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 4/30 approved changesets -- score normalized to 1
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained16 commit(s) and 0 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
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities40 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIaiohttp>=3.9.0pyproject.toml
PyPIaiofiles>=23.0.0pyproject.toml
PyPIpydantic>=2.0.0pyproject.toml
PyPIwebsockets>=15.0.1pyproject.toml
PyPInumpy>=2.0.2pyproject.toml
PyPIopencv-python>=4.11.0.86pyproject.toml
All dependencies 50

Full resolved dependency set from the GitHub dependency graph: 7 direct and 43 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiofiles25.1.0direct
PyPIaiohttp3.13.1direct
PyPInumpy2.2.6direct
PyPInumpy2.3.4direct
PyPIopencv-python4.11.0.86direct
PyPIpydantic2.12.3direct
PyPIwebsockets15.0.1direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.7.0indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs25.4.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIblack25.9.0indirect
PyPIcffi2.1.1indirect
PyPIclick8.3.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.11.0indirect
PyPIcryptography50.0.1indirect
PyPIdecart0.2.1indirect
PyPIexceptiongroup1.3.0indirect
PyPIfrozenlist1.8.0indirect
PyPIidna3.11indirect
PyPIiniconfig2.3.0indirect
PyPIlivekit1.1.9indirect
PyPImultidict6.7.0indirect
PyPImypy1.18.2indirect
PyPImypy-extensions1.1.0indirect
PyPIopencv—indirect
PyPIpackaging25.0indirect
PyPIpathspec0.12.1indirect
PyPIplatformdirs4.5.0indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.4.1indirect
PyPIprotobuf7.35.0indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.41.4indirect
PyPIpygments2.19.2indirect
PyPIpyjwt2.15.0indirect
PyPIpytest8.4.2indirect
PyPIpytest-asyncio1.2.0indirect
PyPIpytest-cov7.0.0indirect
PyPIpytokens0.2.0indirect
PyPIruff0.14.1indirect
PyPItenacity9.1.2indirect
PyPItomli2.3.0indirect
PyPItypes-protobuf7.34.1.20260518indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIyarl1.22.0indirect
Dependency advisories 6

This repository publishes no package the index resolves, so its own dependency graph was assessed — 49 packages, which also include development and test pins that never ship: 6 carry known advisories, of which 1 are direct. 1 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
aiohttp3.13.1directcritical643.14.3
black25.9.0indirectcritical326.3.1
idna3.11indirectmoderate23.15
multidict6.7.0indirectmoderate16.9.1
pytest8.4.2indirectmoderate29.0.3
pygments2.19.2indirectlow22.20.0

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.