Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-15 09:05 UTC

TrueConf / python-trueconf-bot

This is a lightweight and powerful wrapper for the TrueConf Server Chatbot API, enabling quick integration of chatbots into TrueConf.

PythonBSD-3-Clause-Clear★ 21 stars⑂ 1 forksince Sep 2025View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#api#bots#python#trueconf

TrueConf/python-trueconf-bot holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Engineering Quality (88/100) and lowest on Community & Adoption (38/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

78
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.

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

Ownership

TrueConfOrganization · verified domain
72 followers36 public repossince Jun 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpython-trueconf-bot1.5.4852312 days agotrueconfchatbotbotapiframeworkwrapperasynciowebsocket

Metrics by category

Vitality

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

87Excellent · 21% of overall

Development activity

79Good
How it's scored
36/36Push recency — last push 2 days ago
15.2/36Commit cadence — 22/52 weeks with commits
17.7/18Commit volume — 92 commits in the last year
10/10OpenSSF Scorecard: Maintained — 19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year92
human_commit_share1
days_since_last_push2
active_weeks_last_year22

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 31 releases published
36/36Release recency — latest release 2 days ago
27/27Release cadence — a release every ~13.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count31
latest_release_tagv1.5.4
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases13.7
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?

38Weak · 17% of overall

Popularity & adoption

21At Risk
How it's scored
21.1/60Stars — 21 stars
0/25Forks — 1 forks
0/15Watchers — 0 watchers
Inputs used
forks1
stars21
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause-Clear)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

49Weak
How it's scored
39.1/80Monthly downloads — 852 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespython-trueconf-bot
dependents—
ecosystemspypi
total_downloads—
monthly_downloads852
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?

63Moderate · 23% of overall

Maintainer resilience (bus factor)

13Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

69Good
How it's scored
39.6/42Issue resolution — 94% of issues closed
0/30PR acceptance — no decided pull requests or no data
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs0
open_issues1
closed_issues17
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.944
closed_unmerged_prs0
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): PR acceptance, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

87Excellent
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
13.4/25Owner reach — 72 followers of TrueConf
23.4/25Track record — 36 public repos, account ~10 yr old
Inputs used
followers72
owner_typeOrganization
is_verifiedyes
owner_loginTrueConf
public_repos36
account_age_days3,759

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 2 days ago
20/20Version history — 31 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespython-trueconf-bot
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall

Engineering practices

80Excellent
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://trueconf.github.io/python-trueconf-bot/
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicsapi, bots, python, trueconf
has_wikiyes
homepagehttps://trueconf.github.io/python-trueconf-bot/
docs_sitehttps://trueconf.github.io/python-trueconf-bot/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

54Moderate · 16% of overall

Security posture

43Weak
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
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 — 19 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 — no SAST tool detected
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.3
Excluded from scoring (no data or not applicable): CI-Tests, Signed-Releases. 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_packages23
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:python-trueconf-bot@1.5.4 runtime dependency closure — what installing the published package pulls in — 23 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.

69Good · 4% of overall

Agent context & guidance

42Weak
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://trueconf.github.io/python-trueconf-bot/llms.txt)
27.2/40Legible commit history — 51 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://trueconf.github.io/python-trueconf-bot/llms.txt
legible_history_share0.51
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

72Good
How it's scored
18/18One-command bootstrap — justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — trueconf/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
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_filesjustfile
has_devcontainerno
has_linter_configyes
typecheck_configstrueconf/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (trueconf/py.typed)
54.7/55Manageable file sizes — 1/211 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes95,123
source_files_sampled211
oversized_source_files1

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

21GitHub stars
1contributors
92commits, last 12 months
2days since last push
31releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

OpenSSF Scorecard 4.3 / 10
4.3aggregate

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 · 2026-10-15 09:05 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 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
10Maintained19 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
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 13
RegistryPackageVersion constraintManifest
PyPIwebsockets—pyproject.toml
PyPIhttpx2>=2.7.0pyproject.toml
PyPImashumaro>=3.23pyproject.toml
PyPIaiofiles—pyproject.toml
PyPImagic-filter—pyproject.toml
PyPIaiohttp—pyproject.toml
PyPIasync-property—pyproject.toml
PyPItyping_extensions>=4.16.0pyproject.toml
PyPIpython-magic>=0.4.27pyproject.toml
PyPIpython-magic-bin==0.4.14pyproject.toml
PyPIfiletype—pyproject.toml
PyPIpackaging—pyproject.toml
PyPItruststore—pyproject.toml
All dependencies 95

Full resolved dependency set from the GitHub dependency graph: 14 direct and 81 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiofiles25.1.0direct
PyPIaiohttp3.14.3direct
PyPIasync-property0.2.2direct
PyPIfiletype1.2.0direct
PyPIhttpx22.13.1direct
PyPImagic-filter1.0.12direct
PyPImashumaro3.23direct
PyPIpackaging26.3direct
PyPIpython-magic0.4.27direct
PyPIpython-magic-bin0.4.14direct
PyPItruststore0.10.4direct
PyPItyping-extensions4.16.0direct
PyPIwebsockets16.1.1direct
PyPIwebsockets17.1direct
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiosignal1.4.0indirect
PyPIanyio4.15.1indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackrefs8.0indirect
PyPIcairocffi1.7.1indirect
PyPIcairosvg2.9.1indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcsscompressor0.9.5indirect
PyPIcssselect20.10.1indirect
PyPIdefusedxml0.7.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIfrozenlist1.8.0indirect
PyPIghp-import2.1.0indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.62indirect
PyPIgriffe-typingdoc0.3.1indirect
PyPIgriffelib2.3.0indirect
PyPIh110.16.0indirect
PyPIhjson3.1.0indirect
PyPIhtmlmin20.1.13indirect
PyPIhttpcore22.13.1indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIidna3.20indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIjsmin3.0.1indirect
PyPImarkdown3.10.3indirect
PyPImarkupsafe3.0.3indirect
PyPImergedeep1.3.4indirect
PyPImike2.2.0indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-git-revision-date-localized-plugin1.5.3indirect
PyPImkdocs-macros-plugin1.5.0indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocs-minify-plugin0.8.0indirect
PyPImkdocs-static-i18n1.3.1indirect
PyPImkdocstrings1.0.4indirect
PyPImkdocstrings-python2.0.5indirect
PyPImultidict6.9.1indirect
PyPIoutcome1.3.0.post0indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.1.1indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.11.12indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.5.4indirect
PyPIpycparser3.0indirect
PyPIpygments2.21.0indirect
PyPIpymdown-extensions12.1indirect
PyPIpyparsing3.3.3indirect
PyPIpytest9.1.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIrequests2.34.2indirect
PyPIruff0.16.8indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.3indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsuper-collections0.6.2indirect
PyPItermcolor3.3.0indirect
PyPItinycss21.5.1indirect
PyPItomli2.4.1indirect
PyPItrio0.34.0indirect
PyPItzdata2026.4indirect
PyPIurllib32.8.0indirect
PyPIverspec0.1.0indirect
PyPIwatchdog6.0.0indirect
PyPIwebencodings0.6.1indirect
PyPIyarl1.25.1indirect
Dependency advisories 0

Installing pypi:python-trueconf-bot@1.5.4 pulls in 23 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.

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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.