Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-14 20:10 UTC

teemtee / tmt

Test Management Tool

Python · ShellMIT★ 155 stars⑂ 175 forkssince Sep 2019View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

teemtee/tmt holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Community & Adoption (63/100). It was last updated today. 2 contributors account for most of its recent work.

94
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.

94
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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

teemteeOrganization
9 followers11 public repossince Feb 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPItmt1.78.030,0579614 days agometadatatesting

Metrics by category

Vitality

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

99Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
35.3/36Commit cadence51/52 weeks with commits
18/18Commit volume522 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year522
human_commit_share0.92
days_since_last_push0
active_weeks_last_year51

Release discipline

100Exceptional
How it's scored
27/27Ships releases100 releases published
36/36Release recencylatest release 14 days ago
27/27Release cadencea release every ~19.2 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count100
latest_release_tag1.78.0
releases_from_tagsno
days_since_latest_release14
mean_days_between_releases19.2
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?

63Moderate · 17% of overall
How it's scored
35.5/60Stars155 stars
18.7/25Forks175 forks
6.5/15Watchers16 watchers
Inputs used
forks175
stars155
watchers16
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateyes
How it's scored
59.7/80Monthly downloads30,057 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagestmt
dependents
ecosystemspypi
total_downloads
monthly_downloads30,057
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?

74Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
14.8/22.5Commit distributiontop contributor authored 34% of commits
13.5/13.5Contributor breadth98 contributors
10/10OpenSSF Scorecard: Contributorsproject has 9 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled98
top_contributor_share0.34
How it's scored
29.4/42Issue resolution70% of issues closed
27.6/30PR acceptance2,813/3,053 decided PRs merged
13/13Newcomer PR acceptance1/1 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs2,813
open_issues570
closed_issues1,331
prs_merged_7d10
prs_decided_7d11
prs_merged_30d30
prs_decided_30d36
issue_closed_ratio0.7
closed_unmerged_prs240
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
7.2/25Owner reach9 followers of teemtee
17.1/25Track record11 public repos, account ~4 yr old
Inputs used
followers9
owner_typeOrganization
is_verifiedno
owner_loginteemtee
public_repos11
account_age_days1,685

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 14 days ago
20/20Version history96 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagestmt
ecosystemspypi
any_deprecatedno
min_days_since_publish14

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows9 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests30 out of 30 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
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics2 topics
0/10Wiki
Inputs used
topicstesting, testing-tools
has_wikino
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

77Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
2.5/2.5Contributorsproject has 9 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
5/5Pinned-Dependenciesall dependencies are pinned
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities72 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.1
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages29
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:tmt@1.78.0 runtime dependency closure — what installing the published package pulls in — 29 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.

89Excellent · 4% of overall
How it's scored
45/45Agent instructions.claude/CLAUDE.md, AGENTS.md, agents/AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history90 of 92 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.978
agent_instruction_files.claude/CLAUDE.md, AGENTS.md, agents/AGENTS.md
agent_instruction_max_bytes7,128
How it's scored
18/18One-command bootstrapMakefile, examples/convert/Makefile, tests/full/Makefile, tests/integration/data/nitrate/import_case_automated/Makefile, tests/integration/data/nitrate/import_old_relevancy/Makefile, tests/test/import/data/parent/child/Makefile, tests/test/import/data/parent/empty-requires/Makefile, tests/test/import/data/parent/multiple-lines-run/Makefile, tests/test/import/data/parent/negative-requires/Makefile, tests/test/import/data/parent/single-line-run/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
11/11Static type checkingtmt/py.typed
10/10Reproducible environmentlockfile
10/10Demonstrated agent practice5 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
10/10OpenSSF Scorecard: Pinned-Dependenciesall dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile, examples/convert/Makefile, tests/full/Makefile, tests/integration/data/nitrate/import_case_automated/Makefile, tests/integration/data/nitrate/import_old_relevancy/Makefile, tests/test/import/data/parent/child/Makefile, tests/test/import/data/parent/empty-requires/Makefile, tests/test/import/data/parent/multiple-lines-run/Makefile, tests/test/import/data/parent/negative-requires/Makefile, tests/test/import/data/parent/single-line-run/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configstmt/py.typed
agent_commit_share0.05
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (tmt/py.typed)
53.2/55Manageable file sizes8/245 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes199,783
source_files_sampled245
oversized_source_files8
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 examplesexample, examples
Inputs used
example_dirsexample, examples
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

155GitHub stars
98contributors
522commits, last 12 months
0days since last push
100releases
2bus factor
570open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 175 ⇿
0Stars
175Forks
100Releases

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.

04080120160200173122019-092023-032026-09
Major 0Minor 73Patch 11

Each point covers 7 days.

OpenSSF Scorecard 7.1 / 10
7.1aggregate

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 · 2026-09-14 20:09 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
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 11 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities72 existing vulnerabilities detected
Direct dependencies 16
RegistryPackageVersion constraintManifest
PyPIimportlib-metadata>=3.6.0pyproject.toml
PyPIimportlib-resourcespyproject.toml
PyPIclick>=8.0.3pyproject.toml
PyPIdocutils>=0.16pyproject.toml
PyPIfmf>=1.7.0pyproject.toml
PyPIjinja2>=2.11.3pyproject.toml
PyPIpackaging>=20.9pyproject.toml
PyPIpint>=0.16.1pyproject.toml
PyPIpydantic>=1.10.14pyproject.toml
PyPIpydantic>=2.12.0a1pyproject.toml
PyPIpygments>=2.7.4pyproject.toml
PyPIrequests>=2.25.1pyproject.toml
PyPIruamel.yaml>=0.16.6pyproject.toml
PyPIruamel-yaml-clibpyproject.toml
PyPIurllib3>=1.26.5, <3.0pyproject.toml
PyPItyping-extensions>=4pyproject.toml
All dependencies 219

Full resolved dependency set from the GitHub dependency graph: 19 direct and 200 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIclick8.3.1direct
PyPIdocutils0.21.2direct
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PyPIjinja23.1.6direct
PyPIpackaging25.0direct
PyPIpint0.24.4direct
PyPIpint0.25.2direct
PyPIpydantic2.12.4direct
PyPIpygments2.20.0direct
PyPIrequests2.32.5direct
PyPIrequests2.34.2direct
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PyPItyping-extensions4.15.0direct
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PyPIpytest9.1.1indirect
PyPIpytest-container0.4.4indirect
PyPIpytest-testinfra10.2.2indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-bugzilla3.3.0indirect
PyPIpython-coveralls2.9.3indirect
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PyPIsoupsieve2.9.2indirect
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PyPIsphinx8.1.3indirect
PyPIsphinx8.2.3indirect
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PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
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PyPIsphinxcontrib-jsmath1.0.1indirect
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PyPIstevedore5.6.0indirect
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PyPItypes-docutils0.23.0.20260827indirect
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PyPItypes-html5lib1.1.11.20260518indirect
PyPItypes-jinja22.11.9indirect
PyPItypes-jsonschema4.26.0.20260202indirect
PyPItypes-jsonschema4.26.0.20260518indirect
PyPItypes-lxml2026.2.16indirect
PyPItypes-markdown3.10.0.20251106indirect
PyPItypes-markdown3.10.2.20260712indirect
PyPItypes-markupsafe1.1.10indirect
PyPItypes-pytz2025.2.0.20251108indirect
PyPItypes-pytz2026.3.1.20260727indirect
PyPItypes-requests2.31.0.6indirect
PyPItypes-requests2.33.0.20260906indirect
PyPItypes-setuptools81.0.0.20260209indirect
PyPItypes-setuptools84.0.0.20260812indirect
PyPItypes-urllib31.26.25.14indirect
PyPItypes-webencodings0.5.0.20251108indirect
PyPItypes-webencodings0.6.0.20260907indirect
PyPItyping-inspection0.4.2indirect
PyPIvirtualenv21.7.9indirect
PyPIwcwidth0.2.14indirect
PyPIyarl1.22.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:tmt@1.78.0 pulls in 29 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 statisticsPyPI.