Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 19:24 UTC

datafold / data-diff

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PythonMIT★ 2,991 stars⑂ 315 forkssince Mar 2022archivedView on GitHub ↗
KindCommand-line toolLibraryhow this is determined

datafold/data-diff holds a health index of 19 out of 100, placing it in the Critical band. It scores highest on Engineering Quality (84/100) and lowest on Vitality (25/100). The repository is archived, so no further maintenance is expected.

19
overall / 100
Critical

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.

19
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 61 is calibrated to 67 on the published index scale (record calibration 2026-08-02).

Ownership

DatafoldOrganization
85 followers41 public repossince Apr 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIdata-diff0.11.226,36675853 days ago

Metrics by category

Vitality

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

25At Risk · 21% of overall
How it's scored
0/36Push recency — last push 853 days ago
0/36Commit cadence — 0/52 weeks with commits
0/18Commit volume — 0 commits in the last year
0/10OpenSSF Scorecard: Maintained — project is archived
Inputs used
commits_last_year0
human_commit_share1
days_since_last_push853
active_weeks_last_year0
How it's scored
27/27Ships releases — 63 releases published
0/36Release recency — latest release 940 days ago
27/27Release cadence — a release every ~10.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count63
latest_release_tagv0.11.1
releases_from_tagsno
days_since_latest_release940
mean_days_between_releases10.8
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?

80Excellent · 17% of overall
How it's scored
56.4/60Stars — 2,991 stars
20.8/25Forks — 315 forks
1.7/15Watchers — 3 watchers
Inputs used
forks315
stars2,991
watchers3
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_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno
How it's scored
58.9/80Monthly downloads — 26,366 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdata-diff
dependents—
ecosystemspypi
total_downloads—
monthly_downloads26,366
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?

72Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.5/22.5Commit distribution — top contributor authored 44% of commits
13.5/13.5Contributor breadth — 47 contributors
10/10OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled47
top_contributor_share0.444
How it's scored
42/42Issue resolution — 100% of issues closed
23.9/30PR acceptance — 459/575 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 15/16 approved changesets -- score normalized to 9
Inputs used
merged_prs459
open_issues0
closed_issues318
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
closed_unmerged_prs116
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
13.9/25Owner reach — 85 followers of datafold
23.8/25Track record — 41 public repos, account ~6 yr old
Inputs used
followers85
owner_typeOrganization
is_verifiedno
owner_logindatafold
public_repos41
account_age_days2,357
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
4/35Publish recency — latest publish 853 days ago
20/20Version history — 75 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdata-diff
ecosystemspypi
any_deprecatedno
min_days_since_publish853

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.black]), ruff.toml
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 16 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://docs.datafold.com
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicsdatabase, mysql, postgresql, snowflake, rdbms, trino, data-engineering, data-quality, data-science, data-quality-monitoring, databricks-sql, dataengineering, dataquality, oracle-database, postgres, sql, dbt, python, data, data-diffing
has_wikino
homepagehttps://docs.datafold.com
docs_sitehttps://docs.datafold.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

42Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
0/2.5CI-Tests — 0 out of 16 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-Review — Found 15/16 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 9 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
0/7.5Maintained — project is archived
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
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
0/7.5Vulnerabilities — 66 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.4
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.
How it's scored
14/35Direct dependencies free of known advisories — 1 affected: urllib3 1.26.20 (high 7.5)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
33.7/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 456 days ago
Inputs used
sourceosv
advisories10
affected_packages1
assessed_packages72
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages1
Matched the pypi:data-diff@0.11.2 runtime dependency closure — what installing the published package pulls in — 72 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.

62Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.datafold.com/llms.txt)
24.5/40Legible commit history — 46 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.datafold.com/llms.txt
legible_history_share0.46
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.black]), ruff.toml
11/11Static type checking — data_diff/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsdata_diff/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (data_diff/py.typed)
55/55Manageable file sizes — 0/74 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes48,445
source_files_sampled74
oversized_source_files0

Key facts

2,991GitHub stars
47contributors
0commits, last 12 months
853days since last push
63releases
2bus factor
0open 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 ★ / 315 ⇿
0Stars
315Forks
63Releases

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.

0125250375305122022-052024-072026-09
Major 0Minor 10Patch 49

Each point covers 4 days.

OpenSSF Scorecard 3.4 / 10
3.4aggregate

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 · 2026-09-17 19:23 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
0CI-Tests0 out of 16 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 15/16 approved changesets -- score normalized to 9
10Contributorsproject has 9 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject is archived
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
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
0Vulnerabilities66 existing vulnerabilities detected
Direct dependencies 24
RegistryPackageVersion constraintManifest
PyPIpydantic>=1.10.12pyproject.toml
PyPIdsnparse<0.2.0pyproject.toml
PyPIclick>=8.1pyproject.toml
PyPIrich*pyproject.toml
PyPItoml>=0.10.2pyproject.toml
PyPImysql-connector-python>=8.0.29pyproject.toml
PyPIpsycopg2*pyproject.toml
PyPIsnowflake-connector-python>=3.0.2,<4.0.0pyproject.toml
PyPIcryptography*pyproject.toml
PyPItrino>=0.314.0pyproject.toml
PyPIpresto-python-client*pyproject.toml
PyPIclickhouse-driver*pyproject.toml
PyPIduckdb*pyproject.toml
PyPIdbt-core^1.0.0pyproject.toml
PyPIkeyring*pyproject.toml
PyPItabulate>=0.9.0pyproject.toml
PyPIpreql>=0.2.19pyproject.toml
PyPIvertica-python*pyproject.toml
PyPIurllib3<2pyproject.toml
PyPIoracledb*pyproject.toml
PyPIpyodbc>=4.0.39pyproject.toml
PyPItyping-extensions>=4.0.1pyproject.toml
PyPIattrs>=23.1.0pyproject.toml
PyPImashumaro>=2.9,<3.11.0pyproject.toml
All dependencies 105

Full resolved dependency set from the GitHub dependency graph: 24 direct and 81 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIattrs23.1.0direct
PyPIclick8.1.7direct
PyPIclickhouse-driver0.2.6direct
PyPIcryptography41.0.7direct
PyPIdbt-core1.7.4direct
PyPIdsnparse0.1.15direct
PyPIduckdb0.9.2direct
PyPIkeyring24.3.0direct
PyPImashumaro3.10direct
PyPImysql-connector-python8.0.29direct
PyPIoracledb1.4.2direct
PyPIpreql0.2.19direct
PyPIpresto-python-client0.8.3direct
PyPIpsycopg22.9.9direct
PyPIpydantic1.10.12direct
PyPIpyodbc4.0.39direct
PyPIrich13.7.0direct
PyPIsnowflake-connector-python3.6.0direct
PyPItabulate0.9.0direct
PyPItoml0.10.2direct
PyPItrino0.314.0direct
PyPItyping-extensions4.9.0direct
PyPIurllib31.26.18direct
PyPIvertica-python1.3.7direct
PyPIagate1.7.1indirect
PyPIarrow1.3.0indirect
PyPIasn1crypto1.5.1indirect
PyPIbabel2.14.0indirect
PyPIbackports-zoneinfo0.2.1indirect
PyPIcertifi2023.11.17indirect
PyPIcffi1.16.0indirect
PyPIcfgv3.4.0indirect
PyPIcharset-normalizer3.3.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.3.3indirect
PyPIdata-diff—indirect
PyPIdbt-extractor0.5.1indirect
PyPIdbt-semantic-interfaces0.4.2indirect
PyPIdistlib0.3.8indirect
PyPIenum-tools—indirect
PyPIfilelock3.13.1indirect
PyPIidentify2.5.33indirect
PyPIidna3.6indirect
PyPIimportlib-metadata6.11.0indirect
PyPIimportlib-resources6.1.1indirect
PyPIisodate0.6.1indirect
PyPIjaraco-classes3.3.0indirect
PyPIjeepney0.8.0indirect
PyPIjinja23.1.2indirect
PyPIjsonschema4.20.0indirect
PyPIjsonschema-specifications2023.11.2indirect
PyPIlark-parser0.11.3indirect
PyPIleather0.3.4indirect
PyPIlogbook1.5.3indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkupsafe2.1.3indirect
PyPImdurl0.1.2indirect
PyPIminimal-snowplow-tracker0.0.2indirect
PyPImore-itertools10.1.0indirect
PyPImsgpack1.0.7indirect
PyPInetworkx3.1indirect
PyPInodeenv1.8.0indirect
PyPIpackaging23.2indirect
PyPIparameterized0.9.0indirect
PyPIparsedatetime2.6indirect
PyPIpathspec0.11.2indirect
PyPIpkgutil-resolve-name1.3.10indirect
PyPIplatformdirs3.11.0indirect
PyPIpre-commit3.5.0indirect
PyPIprompt-toolkit3.0.43indirect
PyPIprotobuf4.25.1indirect
PyPIpycparser2.21indirect
PyPIpygments2.17.2indirect
PyPIpyjwt2.8.0indirect
PyPIpyopenssl23.3.0indirect
PyPIpython-dateutil2.8.2indirect
PyPIpython-slugify8.0.1indirect
PyPIpytimeparse1.1.8indirect
PyPIpytz2023.3.post1indirect
PyPIpywin32-ctypes0.2.2indirect
PyPIpyyaml6.0.1indirect
PyPIrecommonmark—indirect
PyPIreferencing0.32.0indirect
PyPIrequests2.31.0indirect
PyPIrpds-py0.15.2indirect
PyPIruff0.1.8indirect
PyPIruntype0.2.7indirect
PyPIsecretstorage3.3.3indirect
PyPIsetuptools69.0.3indirect
PyPIsix1.16.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIsphinx-copybutton—indirect
PyPIsphinx-gallery—indirect
PyPIsphinx-markdown-tables—indirect
PyPIsphinx-rtd-theme—indirect
PyPIsqlparse0.4.4indirect
PyPItext-unidecode1.3indirect
PyPItomlkit0.12.3indirect
PyPItypes-python-dateutil2.8.19.14indirect
PyPItzdata2023.3indirect
PyPItzlocal5.2indirect
PyPIunittest-parallel1.6.1indirect
PyPIvirtualenv20.25.0indirect
PyPIwcwidth0.2.12indirect
PyPIzipp3.17.0indirect
Dependency advisories 1

Installing pypi:data-diff@0.11.2 pulls in 72 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
urllib31.26.20directhigh102.7.0

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 statistics — PyPI.