Public record
Software health reportschema 0.11.0 · metrics 2.10.0 · 2026-07-17 00:38 UTC

ormsgpack / ormsgpack

MessagePack serialization library for Python derived from orjson, written in Rust using PyO3

Rust · PythonApache-2.0★ 400 stars⑂ 26 forkssince Jun 2021View on GitHub ↗
KindLibraryhow this is determined
#msgpack#rust#pyo3#python#extension#fast#numpy#pydantic#dataclasses#dataclass#orjson

ormsgpack/ormsgpack holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Vitality (91/100) and lowest on Community & Adoption (63/100). It was last updated today. 2 contributors account for most of its recent work.

87
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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

ormsgpackOrganization
2 followers1 public reposince Dec 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIormsgpack1.12.2-37179 days agofastmsgpackdataclassdataclassesdatetime

Metrics by category

Vitality

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

91Excellent · 21% of overall

Development activity

97Exceptional
How it's scored
36/36Push recency — last push 0 days ago
33.2/36Commit cadence — 48/52 weeks with commits
18/18Commit volume — 195 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year195
human_commit_share—
days_since_last_push0
active_weeks_last_year48

Release discipline

82Excellent
How it's scored
27/27Ships releases — 37 releases published
27/36Release recency — latest release 179 days ago
19.8/27Release cadence — a release every ~50.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count37
latest_release_tag1.12.2
releases_from_tagsno
days_since_latest_release179
mean_days_between_releases50.8
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?

63Moderate · 17% of overall

Popularity & adoption

57Moderate
How it's scored
42.2/60Stars — 400 stars
11.7/25Forks — 26 forks
2.7/15Watchers — 4 watchers
Inputs used
forks26
stars400
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
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)

62Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.1/22.5Commit distribution — top contributor authored 42% of commits
13.5/13.5Contributor breadth — 24 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled24
top_contributor_share0.418

Issue & PR responsiveness

75Good
How it's scored
39.4/42Issue resolution — 94% of issues closed
22.6/30PR acceptance — 415/551 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-Review — Found 1/5 approved changesets -- score normalized to 2
Inputs used
merged_prs415
open_issues3
closed_issues46
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.939
closed_unmerged_prs136
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

46Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
3.4/25Owner reach — 2 followers of ormsgpack
3.3/25Track record — 1 public repos, account ~0 yr old
Inputs used
followers2
owner_typeOrganization
is_verified—
owner_loginormsgpack
public_repos1
account_age_days207
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 179 days ago
20/20Version history — 37 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesormsgpack
ecosystemspypi
any_deprecatedno
min_days_since_publish179

Engineering Quality

Are baseline engineering and documentation practices in place?

77Good · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-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_configno
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://ormsgpack.readthedocs.io
10/10Repository description
10/10Topics — 11 topics
0/10Wiki
Inputs used
topicsmsgpack, rust, pyo3, python, extension, fast, numpy, pydantic, dataclasses, dataclass, orjson
has_wikino
homepagehttps://ormsgpack.readthedocs.io
docs_sitehttps://ormsgpack.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

64Moderate · 16% of overall

Security posture

64Moderate
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 4 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 — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
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_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6.4
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. 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.

64Moderate · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_files—
agent_instruction_max_bytes—
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

84Excellent
How it's scored
18/18One-command bootstrap — noxfile.py
22/22Automated tests
0/11Lint / format config
11/11Static type checking — python/ormsgpack/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesCargo.lock, uv.lock
has_dockerfileno
typed_languageyes
bootstrap_filesnoxfile.py
has_devcontainerno
has_linter_configno
typecheck_configspython/ormsgpack/py.typed
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

100Exceptional
How it's scored
45/45Type-checkable code — Rust (statically typed)
55/55Manageable file sizes — 0/123 source files over 60KB
Inputs used
primary_languageRust
largest_source_bytes20,541
source_files_sampled123
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

400GitHub stars
24contributors
195commits, last 12 months
0days since last push
37releases
2bus factor
3open issues
crates.io, PyPIpackage ecosystems

Data collection warnings

  • Could not fetch crates package 'ormsgpack' from its registry

More detail

OpenSSF Scorecard 6.4 / 10
6.4aggregate

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 · 2026-07-17 00:37 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
2Code-ReviewFound 1/5 approved changesets -- score normalized to 2
10Contributorsproject has 4 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 1 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
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 9
RegistryPackageVersion constraintManifest
crates.ioahash0.8Cargo.toml
crates.iochrono0.4.45Cargo.toml
crates.iohalf2.6.0Cargo.toml
crates.ioitoa1Cargo.toml
crates.iopyo3^0.29.0Cargo.toml
crates.ioserde1Cargo.toml
crates.ioserde_bytes0.11.19Cargo.toml
crates.iosimdutf80.1.5Cargo.toml
crates.iosmallvec^1.15Cargo.toml
All dependencies 90

Full resolved dependency set from the GitHub dependency graph: 9 direct and 81 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
crates.ioahash0.8.12direct
crates.iochrono0.4.45direct
crates.iohalf2.7.1direct
crates.ioitoa1.0.18direct
crates.iopyo30.29.0direct
crates.ioserde1.0.228direct
crates.ioserde_bytes0.11.19direct
crates.iosimdutf80.1.5direct
crates.iosmallvec1.15.2direct
crates.ioautocfg1.5.0indirect
crates.iocfg-if1.0.4indirect
crates.iocrunchy0.2.4indirect
crates.iolibc0.2.180indirect
crates.ionum-traits0.2.19indirect
crates.ioonce_cell1.21.3indirect
crates.ioportable-atomic1.13.0indirect
crates.ioproc-macro21.0.105indirect
crates.iopyo3-build-config0.29.0indirect
crates.iopyo3-ffi0.29.0indirect
crates.ioquote1.0.43indirect
crates.ioserde_core1.0.228indirect
crates.ioserde_derive1.0.228indirect
crates.iosyn2.0.114indirect
crates.iotarget-lexicon0.13.4indirect
crates.iounicode-ident1.0.22indirect
crates.ioversion_check0.9.5indirect
crates.iozerocopy0.8.33indirect
crates.iozerocopy-derive0.8.33indirect
PyPIaccessible-pygments0.0.5indirect
PyPIalabaster1.0.0indirect
PyPIannotated-types0.7.0indirect
PyPIast-serialize0.6.0indirect
PyPIbabel2.17.0indirect
PyPIbeautifulsoup44.14.3indirect
PyPIcertifi2026.1.4indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcolorama0.4.6indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIfuro2025.12.19indirect
PyPIidna3.15indirect
PyPIimagesize1.4.1indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.13.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImsgpack1.2.1indirect
PyPImypy2.2.0indirect
PyPImypy-extensions1.1.0indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.1indirect
PyPIormsgpack1.12.2indirect
PyPIpackaging25.0indirect
PyPIpathspec1.0.3indirect
PyPIpendulum3.2.0indirect
PyPIpluggy1.6.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-codspeed5.0.3indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz2026.2indirect
PyPIrequests2.33.0indirect
PyPIrich14.2.0indirect
PyPIroman-numerals4.1.0indirect
PyPIruff0.15.21indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsoupsieve2.8.4indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItomli2.4.0indirect
PyPItypes-python-dateutil2.9.0.20260518indirect
PyPItypes-pytz2026.2.0.20260518indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIurllib32.7.0indirect
Raw JSON report machine-readable

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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 v0.11.0 — full methodology · metrics wiki.

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