Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 04:04 UTC

marshmallow-code / webargs

A friendly library for parsing HTTP request arguments, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, webapp2, Falcon, and aiohttp.

PythonMIT★ 1,408 stars⑂ 166 forkssince Feb 2014View on GitHub ↗
KindLibraryhow this is determined
#python#django#flask#aiohttp#pyramid#falcon#bottlepy#marshmallow#validation#request-validation#hacktoberfest

marshmallow-code/webargs holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on Sustainability & Governance (69/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

92
overall / 100
Excellent

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.

92
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 78 is calibrated to 92 on the published index scale (record calibration 2026-08-02).

Ownership

marshmallow-codeOrganization
74 followers14 public repossince Dec 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIwebargs8.7.1-104287 days agowebargshttpflaskdjangobottletornadoaiohttprequestargumentsvalidationparametersrestapimarshmallow

Metrics by category

Vitality

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

69Good · 21% of overall

Development activity

82Excellent
How it's scored
36/36Push recency — last push 1 days ago
18.7/36Commit cadence — 27/52 weeks with commits
17.5/18Commit volume — 88 commits in the last year
10/10OpenSSF Scorecard: Maintained — 22 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year88
human_commit_share0.48
days_since_last_push1
active_weeks_last_year27

Release discipline

50Moderate
How it's scored
16.2/27Ships releases — 87 version tags (no GitHub releases)
16.2/36Release recency — latest release 287 days ago
12.6/27Release cadence — a release every ~185 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count87
latest_release_tag8.7.1
releases_from_tagsyes
days_since_latest_release287
mean_days_between_releases185
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?

80Excellent · 17% of overall

Popularity & adoption

76Good
How it's scored
51.1/60Stars — 1,408 stars
18.5/25Forks — 166 forks
6.8/15Watchers — 18 watchers
Inputs used
forks166
stars1,408
watchers18
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesopencollective.com
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

69Good · 23% of overall

Maintainer resilience (bus factor)

43Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
10.3/22.5Commit distribution — top contributor authored 54% of commits
13.5/13.5Contributor breadth — 58 contributors
10/10OpenSSF Scorecard: Contributors — project has 49 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled58
top_contributor_share0.543

Issue & PR responsiveness

72Good
How it's scored
41.3/42Issue resolution — 98% of issues closed
27.2/30PR acceptance — 710/783 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 1/5 approved changesets -- score normalized to 2
Inputs used
merged_prs710
open_issues5
closed_issues294
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d1
issue_closed_ratio0.983
closed_unmerged_prs73
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1

Ownership & stewardship

80Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
13.5/25Owner reach — 74 followers of marshmallow-code
20.6/25Track record — 14 public repos, account ~11 yr old
Inputs used
followers74
owner_typeOrganization
is_verified—
owner_loginmarshmallow-code
public_repos14
account_age_days4,245
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

91Excellent
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
26/35Publish recency — latest publish 287 days ago
20/20Version history — 104 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageswebargs
ecosystemspypi
any_deprecatedno
min_days_since_publish287

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config — tox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 28 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

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://webargs.readthedocs.io/
10/10Repository description
10/10Topics — 11 topics
10/10Wiki
Inputs used
topicspython, django, flask, aiohttp, pyramid, falcon, bottlepy, marshmallow, validation, request-validation, hacktoberfest
has_wikiyes
homepagehttps://webargs.readthedocs.io/
docs_sitehttps://webargs.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

80Excellent · 16% of overall

Security posture

75Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 28 out of 28 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 1/5 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 49 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 22 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7.5
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 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_packages2
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:webargs@8.7.1 runtime dependency closure — what installing the published package pulls in — 2 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.

72Good · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 36 of 48 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.75
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

83Excellent
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — tox.ini
11/11Static type checking — src/webargs/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 38 of the last 100 commits are automated dependency updates
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/webargs/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.38

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/webargs/py.typed)
55/55Manageable file sizes — 0/48 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes58,242
source_files_sampled48
oversized_source_files0

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

1,408GitHub stars
58contributors
88commits, last 12 months
1days since last push
87releases
1bus factor
5open 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 ★ / 166 ⇿
0Stars
166Forks
87Releases

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.

0408012016020016542014-032020-052026-07
Major 8Minor 39Patch 34

Each point covers 12 days.

OpenSSF Scorecard 7.5 / 10
7.5aggregate

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 · 2026-08-13 04:03 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
2Code-ReviewFound 1/5 approved changesets -- score normalized to 2
10Contributorsproject has 49 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained22 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPImarshmallow>=4.0.0,<5.0.0pyproject.toml
PyPIpackaging>=17.0pyproject.toml
PyPItyping_extensions>=4.0pyproject.toml
All dependencies 118

Full resolved dependency set from the GitHub dependency graph: 4 direct and 114 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPImarshmallow—direct
PyPImarshmallow4.3.0direct
PyPIpackaging26.2direct
PyPItyping-extensions4.16.0direct
PyPIaccessible-pygments0.0.5indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp—indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIalabaster1.0.0indirect
PyPIasgiref3.12.1indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackports-datetime-fromisoformat2.0.3indirect
PyPIbeautifulsoup44.15.0indirect
PyPIblinker1.9.0indirect
PyPIbottle—indirect
PyPIbottle0.13.4indirect
PyPIcachetools7.1.6indirect
PyPIcertifi2026.7.22indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIdistlib0.4.3indirect
PyPIdjango—indirect
PyPIdjango5.2.16indirect
PyPIdjango6.0.7indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIfalcon—indirect
PyPIfalcon4.3.1indirect
PyPIfilelock3.32.0indirect
PyPIflake83.6.0indirect
PyPIflake8-bugbear18.8.0indirect
PyPIflask—indirect
PyPIflask3.1.3indirect
PyPIflask-restful—indirect
PyPIfrozenlist1.8.0indirect
PyPIfuro2025.12.19indirect
PyPIhupper1.12.1indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIinvoke1.2.0indirect
PyPIitsdangerous2.2.0indirect
PyPIjinja23.1.6indirect
PyPIlegacy-cgi2.6.4indirect
PyPImarkupsafe3.0.3indirect
PyPImock2.0.0indirect
PyPImultidict6.7.1indirect
PyPInodeenv1.10.0indirect
PyPIpastedeploy3.1.0indirect
PyPIplaster1.1.2indirect
PyPIplaster-pastedeploy1.0.1indirect
PyPIplatformdirs4.11.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit1.12.0indirect
PyPIpre-commit4.6.1indirect
PyPIpropcache0.5.2indirect
PyPIpygments2.20.0indirect
PyPIpyproject-api1.11.0indirect
PyPIpyramid—indirect
PyPIpyramid2.1indirect
PyPIpytest3.9.3indirect
PyPIpytest9.1.1indirect
PyPIpytest-aiohttp—indirect
PyPIpytest-aiohttp1.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.5.0indirect
PyPIpyyaml6.0.3indirect
PyPIrequests2.34.2indirect
PyPIroman-numerals4.1.0indirect
PyPIsetuptools81.0.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsoupsieve2.9.1indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-issues6.0.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlparse0.5.5indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItornado—indirect
PyPItornado6.5.7indirect
PyPItox3.5.3indirect
PyPItox4.58.0indirect
PyPItox-uv1.36.0indirect
PyPItox-uv-bare1.36.0indirect
PyPItranslationstring1.4indirect
PyPItzdata2026.3indirect
PyPIurllib32.7.0indirect
PyPIuv0.11.32indirect
PyPIvenusian3.1.1indirect
PyPIvirtualenv21.7.0indirect
PyPIwaitress3.0.2indirect
PyPIwebapp2—indirect
PyPIwebargs8.7.1indirect
PyPIwebob1.8.10indirect
PyPIwebtest2.0.32indirect
PyPIwebtest3.0.7indirect
PyPIwebtest-aiohttp2.0.0indirect
PyPIwerkzeug3.1.8indirect
PyPIyarl1.24.5indirect
PyPIzope-deprecation6.0indirect
PyPIzope-interface8.5indirect
Dependency advisories 0

Installing pypi:webargs@8.7.1 pulls in 2 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 v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.