Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 06:18 UTC

theforeman / obsah

PythonGPL-2.0★ 4 stars⑂ 13 forkssince Oct 2019View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

theforeman/obsah holds a health index of 59 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (80/100) and lowest on Security (25/100). It was last updated today. 2 contributors account for most of its recent work.

59
overall / 100
Moderate

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.

59
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 56 is calibrated to 59 on the published index scale (record calibration 2026-08-02).

Ownership

The ForemanOrganization · verified domain
195 followers240 public repossince Feb 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIobsah1.11.110,689210 days agoansiblecli

Metrics by category

Vitality

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

44Weak · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
13.8/36Commit cadence — 20/52 weeks with commits
15.2/18Commit volume — 48 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year48
human_commit_share0.9
days_since_last_push0
active_weeks_last_year20
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count0

Community & Adoption

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

43Weak · 17% of overall
How it's scored
7.7/60Stars — 4 stars
9/25Forks — 13 forks
4.7/15Watchers — 8 watchers
Inputs used
forks13
stars4
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-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_badges1
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesreadthedocs.org
has_pull_request_templateno
How it's scored
53.7/80Monthly downloads — 10,689 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesobsah
dependents—
ecosystemspypi
total_downloads—
monthly_downloads10,689
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?

77Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.5/22.5Commit distribution — top contributor authored 45% of commits
13.5/13.5Contributor breadth — 12 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor2
contributors_sampled12
top_contributor_share0.446
How it's scored
21/42Issue resolution — 50% of issues closed
24.9/30PR acceptance — 111/134 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs111
open_issues4
closed_issues4
prs_merged_7d3
prs_decided_7d3
prs_merged_30d3
prs_decided_30d4
issue_closed_ratio0.5
closed_unmerged_prs23
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
16.5/25Owner reach — 195 followers of theforeman
25/25Track record — 240 public repos, account ~14 yr old
Inputs used
followers195
owner_typeOrganization
is_verifiedyes
owner_logintheforeman
public_repos240
account_age_days5,361

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 — 21 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesobsah
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 — .pylintrc, tox.ini
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

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://obsah.readthedocs.io/
0/10Repository description
10/10Topics — 1 topics
0/10Wiki
Inputs used
topicshacktoberfest
has_wikino
homepagehttps://obsah.readthedocs.io/
docs_sitehttps://obsah.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

25At Risk · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestsrequirements-dev.txt, requirements-docs.txt, requirements-test.txt, requirements.txt, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configyes

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.

61Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
12.4/40Legible commit history — 21 of 90 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.233
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — .pylintrc, tox.ini
11/11Static type checking — obsah/py.typed
0/10Reproducible environment
10/10Demonstrated agent practice — 7 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 10 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsobsah/py.typed
agent_commit_share0.07
toolchain_manifests—
dependency_bot_commit_share0.1
How it's scored
27/45Type-checkable code — Python with type-check config (obsah/py.typed)
55/55Manageable file sizes — 0/14 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes23,343
source_files_sampled14
oversized_source_files0

Key facts

4GitHub stars
12contributors
48commits, last 12 months
0days since last push
0releases
2bus factor
4open 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:obsah@1.11.1; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 13 ⇿
0Stars
13Forks

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.

03581013151322019-102023-042026-10

Each point covers 7 days.

All dependencies 9

Full resolved dependency set from the GitHub dependency graph: 0 direct and 9 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIansible—indirect
PyPIansible-core—indirect
PyPIansible-lint—indirect
PyPIargcomplete—indirect
PyPIbump2version—indirect
PyPIsphinx—indirect
PyPIsphinx-argparse—indirect
PyPItox—indirect
PyPItox-gh-actions—indirect
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 statistics — PyPI.