Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-18 04:05 UTC

DocSpring / docspring-python

Python API Client for DocSpring

PythonMIT★ 0 stars⑂ 2 forkssince Nov 2019View on GitHub ↗

DocSpring/docspring-python holds a health index of 42 out of 100, placing it in the Weak band. It scores highest on Engineering Quality (84/100) and lowest on Security (1/100). It was last updated today. A single contributor accounts for most of its recent work.

42
overall / 100
Weak

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.

42
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 45 is calibrated to 42 on the published index scale (record calibration 2026-08-02).

Ownership

DocSpringOrganization
12 followers196 public repossince Sep 2017

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdocspring3.2.02,635120 days agoopenapiopenapi-generatordocspring-api

Metrics by category

Vitality

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

55Moderate · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
0.7/36Commit cadence — 1/52 weeks with commits
2.7/18Commit volume — 1 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year1
human_commit_share—
days_since_last_push0
active_weeks_last_year1
How it's scored
16.2/27Ships releases — 11 version tags (no GitHub releases)
36/36Release recency — latest release 0 days ago
12.6/27Release cadence — a release every ~246.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count11
latest_release_tagv3.2.0
releases_from_tagsyes
days_since_latest_release0
mean_days_between_releases246.4

Community & Adoption

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

32At Risk · 17% of overall
How it's scored
0/60Stars — 0 stars
0/25Forks — 2 forks
0/15Watchers — 1 watchers
Inputs used
forks2
stars0
watchers1
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
45.6/80Monthly downloads — 2,635 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdocspring
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,635
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?

40Weak · 23% of overall
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
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
0/42Issue resolution — 0% 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 — no data
Inputs used
merged_prs0
open_issues1
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0
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.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
8/25Owner reach — 12 followers of DocSpring
25/25Track record — 196 public repos, account ~9 yr old
Inputs used
followers12
owner_typeOrganization
is_verifiedno
owner_loginDocSpring
public_repos196
account_age_days3,316

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 — 12 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdocspring
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.pylint]), setup.cfg ([flake8]), 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pypi.org/project/docspring/
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://pypi.org/project/docspring/
docs_sitehttps://pypi.org/project/docspring/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

1Critical · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestspyproject.toml, requirements.txt, setup.cfg, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

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.

78Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docspring.com/llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docspring.com/llms.txt
legible_history_share—
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes2,467
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.pylint]), setup.cfg ([flake8]), tox.ini
11/11Static type checking — docspring/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsdocspring/py.typed
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
27/45Type-checkable code — Python with type-check config (docspring/py.typed)
54.6/55Manageable file sizes — 1/126 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes545,685
source_files_sampled126
oversized_source_files1

Key facts

0GitHub stars
1contributors
1commits, last 12 months
0days since last push
11releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • deps.dev does not index pypi:docspring@3.2.0; 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 ★ / 2 ⇿
0Stars
2Forks
1Releases

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.

111222212020-122021-082022-05
Major 0Minor 0Patch 1

Each point covers 2 days.

Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPIurllib3(>=2.1.0,<3.0.0)pyproject.toml
PyPIpython-dateutil(>=2.8.2)pyproject.toml
PyPIpydantic(>=2)pyproject.toml
PyPItyping-extensions(>=4.7.1)pyproject.toml
PyPIlazy-imports(>=1,<2)pyproject.toml
All dependencies 11

Full resolved dependency set from the GitHub dependency graph: 5 direct and 6 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIlazy-imports—direct
PyPIpydantic—direct
PyPIpython-dateutil—direct
PyPItyping-extensions—direct
PyPIurllib3—direct
PyPIflake8—indirect
PyPImypy—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPItox—indirect
PyPItypes-python-dateutil—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.