Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 21:21 UTC

open-reaction-database / ord-schema

Schema for the Open Reaction Database

Python · JavaScriptApache-2.0★ 113 stars⑂ 34 forkssince Feb 2020View on GitHub ↗
KindLibraryhow this is determined

open-reaction-database/ord-schema holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (88/100) and lowest on Sustainability & Governance (63/100). It was last updated 12 days ago. A single contributor accounts for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

Open Reaction DatabaseOrganization
162 followers10 public repossince Feb 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIord-schema0.8.311,85314145 days ago

Metrics by category

Vitality

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

84Excellent · 21% of overall

Development activity

73Good
How it's scored
28.8/36Push recency — last push 12 days ago
15.9/36Commit cadence — 23/52 weeks with commits
18/18Commit volume — 249 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year249
human_commit_share1
days_since_last_push12
active_weeks_last_year23

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 45 days ago
27/27Release cadence — a release every ~4.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv0.8.3
releases_from_tagsno
days_since_latest_release45
mean_days_between_releases4.9
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?

65Good · 17% of overall

Popularity & adoption

52Moderate
How it's scored
33.2/60Stars — 113 stars
12.7/25Forks — 34 forks
6/15Watchers — 13 watchers
Inputs used
forks34
stars113
watchers13
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
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
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

68Good
How it's scored
54.3/80Monthly downloads — 11,853 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesord-schema
dependents—
ecosystemspypi
total_downloads—
monthly_downloads11,853
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?

63Moderate · 23% of overall

Maintainer resilience (bus factor)

37Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4.9/22.5Commit distribution — top contributor authored 78% of commits
13.5/13.5Contributor breadth — 15 contributors
10/10OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled15
top_contributor_share0.78

Issue & PR responsiveness

63Moderate
How it's scored
36.2/42Issue resolution — 86% of issues closed
26.7/30PR acceptance — 679/764 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs679
open_issues35
closed_issues216
prs_merged_7d0
prs_decided_7d0
prs_merged_30d44
prs_decided_30d47
issue_closed_ratio0.861
closed_unmerged_prs85
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1

Ownership & stewardship

66Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
15.9/25Owner reach — 162 followers of open-reaction-database
19.6/25Track record — 10 public repos, account ~6 yr old
Inputs used
followers162
owner_typeOrganization
is_verifiedno
owner_loginopen-reaction-database
public_repos10
account_age_days2,416

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 45 days ago
20/20Version history — 141 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesord-schema
ecosystemspypi
any_deprecatedno
min_days_since_publish45

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://open-reaction-database.org
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttps://open-reaction-database.org
docs_sitehttps://open-reaction-database.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

72Good · 16% of overall

Security posture

65Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 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
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 10 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 28 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
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
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.5
Excluded from scoring (no data or not applicable): 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_packages13
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:ord-schema@0.8.3 runtime dependency closure — what installing the published package pulls in — 13 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.

67Good · 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 — 97 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.97
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

82Excellent
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 97 of the last 100 commits agent-authored or agent-credited
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.97
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

50Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
50.1/55Manageable file sizes — 10/113 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes1,111,643
source_files_sampled113
oversized_source_files10

Machine-readable interfaces

100Exceptional
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — proto/dataset.proto, proto/reaction.proto, proto/test.proto
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_filesproto/dataset.proto, proto/reaction.proto, proto/test.proto
interfaces_expected_of—
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

113GitHub stars
15contributors
249commits, last 12 months
12days since last push
100releases
1bus factor
35open 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 ★ / 34 ⇿
0Stars
34Forks
100Releases

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.

01325383422020-022023-052026-08
Major 0Minor 4Patch 96

Each point covers 6 days.

OpenSSF Scorecard 6.5 / 10
6.5aggregate

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 · 2026-09-18 21:21 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 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 10 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 28 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 9
RegistryPackageVersion constraintManifest
PyPIjoblib>=1.0.0pyproject.toml
PyPInumpy>=1.26.4pyproject.toml
PyPIopenpyxl>=3.0.5pyproject.toml
PyPIpandas>=1.0.4pyproject.toml
PyPIprotobuf>=4.22.3,<6pyproject.toml
PyPIpyarrow>=14pyproject.toml
PyPIpython-dateutil>=1.10.0pyproject.toml
PyPIrdkit>=2025.03.4pyproject.toml
PyPItqdm>=4.61.2pyproject.toml
All dependencies 166

Full resolved dependency set from the GitHub dependency graph: 10 direct and 156 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjoblib1.5.3direct
PyPInumpy2.4.6direct
PyPInumpy2.5.2direct
PyPIopenpyxl3.1.5direct
PyPIpandas2.3.3direct
PyPIprotobuf5.29.6direct
PyPIpyarrow24.0.0direct
PyPIpython-dateutil2.9.0.post0direct
PyPIrdkit2026.3.5direct
PyPItqdm4.67.3direct
npm@types/google-protobuf^3.15.12indirect
npmgoogle-protobuf<3.20indirect
npmjest^29.3.1indirect
npmprotobufjs^7.4.0indirect
npmprotobufjs-cli^1.1.3indirect
npmts-protoc-gen^0.15.0indirect
npmwebpack^5.75.0indirect
npmwebpack-cli^5.0.1indirect
PyPIabsl-py2.4.0indirect
PyPIalabaster1.0.0indirect
PyPIannotated-types0.8.0indirect
PyPIanthropic0.122.0indirect
PyPIanyio4.13.0indirect
PyPIappnope0.1.4indirect
PyPIasn1crypto1.5.1indirect
PyPIasttokens3.0.1indirect
PyPIastunparse1.6.3indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIcertifi2026.2.25indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcontourpy1.3.3indirect
PyPIcoverage7.13.5indirect
PyPIcycler0.12.1indirect
PyPIdebugpy1.8.20indirect
PyPIdecorator5.2.1indirect
PyPIdistro1.9.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIdocutils0.22.4indirect
PyPIduckdb1.5.5indirect
PyPIet-xmlfile2.0.0indirect
PyPIexecnet2.1.2indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.21.2indirect
PyPIfilelock3.29.4indirect
PyPIflatbuffers25.12.19indirect
PyPIfonttools4.62.1indirect
PyPIfsspec2026.4.0indirect
PyPIgast0.7.0indirect
PyPIgoogle-pasta0.2.0indirect
PyPIgreenlet3.4.0indirect
PyPIgrpcio1.80.0indirect
PyPIh110.16.0indirect
PyPIh5py3.16.0indirect
PyPIhf-xet1.5.1indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhuggingface-hub0.36.2indirect
PyPIidna3.15indirect
PyPIimagesize2.0.0indirect
PyPIinflection0.5.1indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel7.2.0indirect
PyPIipython9.10.1indirect
PyPIipython9.12.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.19.2indirect
PyPIjinja23.1.6indirect
PyPIjiter0.16.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-client8.8.0indirect
PyPIjupyter-core5.9.1indirect
PyPIkeras3.15.0indirect
PyPIkiwisolver1.5.0indirect
PyPIlibclang18.1.1indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib3.10.8indirect
PyPImatplotlib-inline0.2.1indirect
PyPImdurl0.1.2indirect
PyPIml-dtypes0.5.4indirect
PyPInamex0.1.0indirect
PyPInbclient0.11.0indirect
PyPInbformat5.10.4indirect
PyPInbval0.11.0indirect
PyPInest-asyncio1.6.0indirect
PyPIopt-einsum3.4.0indirect
PyPIoptree0.19.0indirect
PyPIord-schema0.8.3indirect
PyPIpackaging26.0indirect
PyPIparso0.8.6indirect
PyPIpexpect4.9.0indirect
PyPIpg80001.31.5indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpsutil7.2.2indirect
PyPIpsycopg3.3.3indirect
PyPIpsycopg-binary3.3.3indirect
PyPIpsycopg-pool3.3.0indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpytz2026.1.post1indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.33.1indirect
PyPIrich14.3.3indirect
PyPIroman-numerals4.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.15.10indirect
PyPIscikit-learn1.8.0indirect
PyPIscipy1.17.1indirect
PyPIscramp1.4.8indirect
PyPIsetuptools80.10.2indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinx-tabs3.5.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlalchemy2.0.49indirect
PyPIstack-data0.6.3indirect
PyPItensorboard2.20.0indirect
PyPItensorboard-data-server0.7.2indirect
PyPItensorflow2.20.0indirect
PyPItermcolor3.3.0indirect
PyPItesting-common-database2.0.3indirect
PyPItesting-postgresql1.3.0indirect
PyPIthreadpoolctl3.6.0indirect
PyPItomli2.4.1indirect
PyPItornado6.5.8indirect
PyPItraitlets5.14.3indirect
PyPIty0.0.29indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.1indirect
PyPIurllib32.7.0indirect
PyPIuuid62025.0.1indirect
PyPIwcwidth0.6.0indirect
PyPIwerkzeug3.1.8indirect
PyPIwheel0.46.3indirect
PyPIwrapt2.1.2indirect
Dependency advisories 0

Installing pypi:ord-schema@0.8.3 pulls in 13 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

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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 v0.34.0 — full methodology · metrics wiki.

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