Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 04:50 UTC

snstac / pytak

PyTAK is a Python package for rapid Team Awareness Kit (TAK) integration.

PythonApache-2.0★ 254 stars⑂ 67 forkssince Oct 2020View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

snstac/pytak holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Engineering Quality (85/100) and lowest on Security (45/100). It was last updated 22 days ago. A single contributor accounts for most of its recent work.

77
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.

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

Ownership

87 followers93 public repossince Apr 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpytak7.6.124,0297122 days agocursor-on-targetcotataktakwintaktak-server

Metrics by category

Vitality

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

74Good · 21% of overall
How it's scored
28.8/36Push recencylast push 22 days ago
9/36Commit cadence13/52 weeks with commits
15.2/18Commit volume48 commits in the last year
10/10OpenSSF Scorecard: Maintained20 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year48
human_commit_share1
days_since_last_push22
active_weeks_last_year13
How it's scored
27/27Ships releases59 releases published
36/36Release recencylatest release 22 days ago
27/27Release cadencea release every ~4.5 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count59
latest_release_tagv7.6.1
releases_from_tagsno
days_since_latest_release22
mean_days_between_releases4.5

Community & Adoption

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

60Moderate · 17% of overall
How it's scored
39/60Stars254 stars
15.2/25Forks67 forks
6.2/15Watchers14 watchers
Inputs used
forks67
stars254
watchers14
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
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
58.4/80Monthly downloads24,029 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagespytak
dependents
ecosystemspypi
total_downloads
monthly_downloads24,029
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?

60Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.9/22.5Commit distributiontop contributor authored 96% of commits
13.5/13.5Contributor breadth10 contributors
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled10
top_contributor_share0.96
How it's scored
30.7/42Issue resolution73% of issues closed
26.2/30PR acceptance35/40 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 1/29 approved changesets -- score normalized to 0
Inputs used
merged_prs35
open_issues20
closed_issues54
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.73
closed_unmerged_prs5
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.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
14/25Owner reach87 followers of snstac
19.9/25Track record93 public repos, account ~3 yr old
Inputs used
followers87
owner_typeOrganization
is_verifiedno
owner_loginsnstac
public_repos93
account_age_days1,255

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 22 days ago
20/20Version history71 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespytak
ecosystemspypi
any_deprecatedno
min_days_since_publish22

Engineering Quality

Are baseline engineering and documentation practices in place?

85Excellent · 19% of overall
How it's scored
24/24CI workflows1 workflow(s)
24/24Tests present
16/16Linter configsetup.cfg ([flake8], [pycodestyle], [pylint], [isort])
0/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests12 out of 13 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://pytak.readthedocs.io/en/stable/
10/10Repository description
10/10Topics5 topics
0/10Wiki
Inputs used
topicsatak, cot, cursor-on-target, python, tak
has_wikino
homepagehttps://pytak.readthedocs.io/en/stable/
docs_sitehttps://pytak.readthedocs.io/en/stable/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

45Weak · 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
2.2/2.5CI-Tests12 out of 13 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 1/29 approved changesets -- score normalized to 0
0.8/2.5Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained20 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
4/5SASTSAST tool is not run on all commits -- score normalized to 8
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4.5

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.

71Good · 4% of overall
How it's scored
45/45Agent instructionsCLAUDE.md
0/15Machine-readable docs (llms.txt)
18.1/40Legible commit history34 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.34
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes7,355
How it's scored
18/18One-command bootstrapMakefile, docs/Makefile
22/22Automated tests
11/11Lint / format configsetup.cfg ([flake8], [pycodestyle], [pylint], [isort])
0/11Static type checking
10/10Reproducible environmentDockerfile
10/10Demonstrated agent practice15 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.15
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/48 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes48,015
source_files_sampled48
oversized_source_files0
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

254GitHub stars
10contributors
48commits, last 12 months
22days since last push
59releases
1bus factor
20open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • No resolved dependencies carried a version and a supported ecosystem

More detail

Star and fork history 0 ★ / 67 ⇿
0Stars
67Forks
58Releases

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.

01325385063756622021-022023-112026-08
Major 3Minor 13Patch 32

Each point covers 6 days.

OpenSSF Scorecard 4.5 / 10
4.5aggregate

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 · 2026-09-15 04:49 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
9CI-Tests12 out of 13 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 1/29 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained20 commit(s) and 3 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
8SASTSAST tool is not run on all commits -- score normalized to 8
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 33

Full resolved dependency set from the GitHub dependency graph: 0 direct and 33 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohttpindirect
PyPIaiomqttindirect
PyPIblackindirect
PyPIclickindirect
PyPIcryptographyindirect
PyPIflake8indirect
PyPIghp-importindirect
PyPIgriffeindirect
PyPIimportlib-metadataindirect
PyPIjinja2indirect
PyPImarkdownindirect
PyPImarkdown-includeindirect
PyPImarkupsafeindirect
PyPImergedeepindirect
PyPImkdocsindirect
PyPImkdocs-autorefsindirect
PyPImkdocs-include-markdown-pluginindirect
PyPImkdocs-materialindirect
PyPImkdocstringsindirect
PyPImkdocstrings-pythonindirect
PyPIpackagingindirect
PyPIpylintindirect
PyPIpymdown-extensionsindirect
PyPIpyparsingindirect
PyPIpytest-asyncioindirect
PyPIpytest-covindirect
PyPIpython-dateutilindirect
PyPIpyyamlindirect
PyPIpyyaml-env-tagindirect
PyPIsetuptoolsindirect
PyPIsixindirect
PyPItakprotoindirect
PyPIzippindirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

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.