Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-25 14:38 UTC

mauvilsa / jsonargparse

Minimal effort CLIs derived from type hints and parse from command line, config files and environment variables

PythonMIT★ 429 stars⑂ 65 forkssince May 2019View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

mauvilsa/jsonargparse holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Vitality (93/100) and lowest on AI Readiness (55/100). It was last updated today. A single contributor accounts for most of its recent work.

93
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.

93
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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

Mauricio VillegasPersonal account
61 followers32 public repossince Oct 2013@omni-us

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIjsonargparse4.51.03,981,6272035 days ago
PyPIjsonargparse-tests4.51.09355 days ago

Metrics by category

Vitality

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

93Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
31.8/36Commit cadence46/52 weeks with commits
18/18Commit volume177 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year177
human_commit_share1
days_since_last_push0
active_weeks_last_year46
How it's scored
16.2/27Ships releases93 version tags (no GitHub releases)
36/36Release recencylatest release 5 days ago
27/27Release cadencea release every ~34.4 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count93
latest_release_tagv4.51.0
releases_from_tagsyes
days_since_latest_release5
mean_days_between_releases34.4
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?

81Excellent · 17% of overall
How it's scored
42.7/60Stars429 stars
15.1/25Forks65 forks
1.7/15Watchers3 watchers
Inputs used
forks65
stars429
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, codecov.io, github.com, readthedocs.org, sonarcloud.io
has_pull_request_templateyes
How it's scored
80/80Monthly downloads3,981,720 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesjsonargparse, jsonargparse-tests
dependents
ecosystemspypi
total_downloads
monthly_downloads3,981,720
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?

62Moderate · 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 breadth33 contributors
10/10OpenSSF Scorecard: Contributorsproject has 13 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled33
top_contributor_share0.959
How it's scored
41/42Issue resolution98% of issues closed
28.3/30PR acceptance553/586 decided PRs merged
0/13Newcomer PR acceptance0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs553
open_issues9
closed_issues366
prs_merged_7d5
prs_decided_7d5
prs_merged_30d26
prs_decided_30d28
issue_closed_ratio0.976
closed_unmerged_prs33
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
12.9/25Owner reach61 followers of mauvilsa
23.1/25Track record32 public repos, account ~12 yr old
Inputs used
followers61
owner_typeUser
is_verified
owner_loginmauvilsa
public_repos32
account_age_days4,686
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable2 package(s) on pypi
35/35Publish recencylatest publish 5 days ago
20/20Version history203 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesjsonargparse, jsonargparse-tests
ecosystemspypi
any_deprecatedno
min_days_since_publish5

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall
How it's scored
24/24CI workflows3 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-Tests28 out of 28 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
0/25Documentation directory
15/15Documentation / homepage sitehttps://jsonargparse.readthedocs.io
10/10Repository description
10/10Topics16 topics
0/10Wiki
Inputs used
topicspython, json, yaml, jsonnet, argparse-alternative, dataclasses, type-hints, argparse, cli, configuration-files, argument-parser, environment-variables, toml, omegaconf, pydantic, dependency-injection
has_wikino
homepagehttps://jsonargparse.readthedocs.io
docs_sitehttps://jsonargparse.readthedocs.io
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

86Excellent · 16% of overall

Security posture

83Excellent
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests28 out of 28 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
0/7.5Code-ReviewFound 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 13 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 7 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
5/5Pinned-Dependenciesall dependencies are pinned
5/5SASTSAST tool is run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
6.8/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate8.2
Excluded from scoring (no data or not applicable): Branch-Protection, 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_packages1
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:jsonargparse@4.51.0 runtime dependency closure — what installing the published package pulls in — 1 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.

55Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://lightning.ai/llms.txt)
29.9/40Legible commit history56 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://lightning.ai/llms.txt
legible_history_share0.56
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
11/11Static type checkingjsonargparse/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
10/10OpenSSF Scorecard: Pinned-Dependenciesall dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configsjsonargparse/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (jsonargparse/py.typed)
51.7/55Manageable file sizes4/67 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes136,531
source_files_sampled67
oversized_source_files4

Key facts

429GitHub stars
33contributors
177commits, last 12 months
0days since last push
93releases
1bus factor
9open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 65 ⇿
0Stars
65Forks
92Releases

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.

01325385063756422019-092023-022026-07
Major 1Minor 50Patch 41

Each point covers 7 days.

OpenSSF Scorecard 8.2 / 10
8.2aggregate

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 · 2026-08-25 14:37 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests28 out of 28 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 13 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 7 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIjsonargparsejsonargparse_tests/pyproject.toml
PyPIPyYAML>=3.13pyproject.toml
All dependencies 32

Full resolved dependency set from the GitHub dependency graph: 2 direct and 30 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjsonargparsedirect
PyPIpyyamldirect
PyPIargcompleteindirect
PyPIattrsindirect
PyPIautodocsummindirect
PyPIbuildindirect
PyPIbump2versionindirect
PyPIdocstring-parserindirect
PyPIfsspecindirect
PyPIjsonnetindirect
PyPIjsonschemaindirect
PyPIomegaconfindirect
PyPIpre-commitindirect
PyPIpydanticindirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIpytest-subtestsindirect
PyPIrequestsindirect
PyPIresponsesindirect
PyPIruamel-yamlindirect
PyPIsetuptoolsindirect
PyPIshtabindirect
PyPIsphinxindirect
PyPIsphinx-autodoc-typehintsindirect
PyPIsphinx-rtd-themeindirect
PyPItomlindirect
PyPItoxindirect
PyPItox-uvindirect
PyPItwineindirect
PyPItypes-pyyamlindirect
PyPItypes-requestsindirect
PyPItypeshed-clientindirect
Dependency advisories 0

Installing pypi:jsonargparse@4.51.0 pulls in 1 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.