Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 13:16 UTC

microsoft / data-factory-testing-framework

A stand-alone test framework that allows to write unit tests for Data Factory pipelines on Microsoft Fabric, Azure Data Factory and Azure Synapse Analytics.

PythonMIT★ 135 stars⑂ 44 forkssince Aug 2023View on GitHub ↗

microsoft/data-factory-testing-framework holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (86/100) and lowest on Community & Adoption (59/100). It was last updated today. A single contributor accounts for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

MicrosoftOrganization · verified domain
132,248 followers8,386 public repossince Dec 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIdata-factory-testing-framework1.4.43,294700 days agofabricdatafactorysynapse-analyticsunit-testingfunctional-testingazure

Metrics by category

Vitality

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

64Moderate · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
1.4/36Commit cadence — 2/52 weeks with commits
5.4/18Commit volume — 3 commits in the last year
3/10OpenSSF Scorecard: Maintained — 4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3
Inputs used
commits_last_year3
human_commit_share0.92
days_since_last_push0
active_weeks_last_year2
How it's scored
27/27Ships releases — 44 releases published
36/36Release recency — latest release 0 days ago
19.8/27Release cadence — a release every ~70 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count44
latest_release_tagv1.4.4
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases70
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?

59Moderate · 17% of overall
How it's scored
34.5/60Stars — 135 stars
13.6/25Forks — 44 forks
4.7/15Watchers — 8 watchers
Inputs used
forks44
stars135
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno
How it's scored
46.9/80Monthly downloads — 3,294 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesdata-factory-testing-framework
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,294
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?

78Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
9/22.5Commit distribution — top contributor authored 60% of commits
13.5/13.5Contributor breadth — 12 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled12
top_contributor_share0.601
How it's scored
31.5/42Issue resolution — 75% of issues closed
27.9/30PR acceptance — 92/99 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs92
open_issues18
closed_issues54
prs_merged_7d1
prs_decided_7d1
prs_merged_30d3
prs_decided_30d3
issue_closed_ratio0.75
closed_unmerged_prs7
first_time_authors_30d1
first_time_prs_merged_30d2
first_time_prs_decided_30d2
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 132,248 followers of microsoft
25/25Track record — 8,386 public repos, account ~12 yr old
Inputs used
followers132,248
owner_typeOrganization
is_verifiedyes
owner_loginmicrosoft
public_repos8,386
account_age_days4,697

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 70 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesdata-factory-testing-framework
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
2/20OpenSSF Scorecard: CI-Tests — 4 out of 30 merged PRs checked by a CI test -- score normalized to 1
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://github.com/microsoft/data-factory-testing-framework/blob/main/README.md
10/10Repository description
10/10Topics — 9 topics
10/10Wiki
Inputs used
topicsazure-data-factory, functional-tests, microsoft-fabric, testing-framework, unit-tests, data-factory, fabric, test, azure-synapse
has_wikiyes
homepage—
docs_sitehttps://github.com/microsoft/data-factory-testing-framework/blob/main/README.md
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0.2/2.5CI-Tests — 4 out of 30 merged PRs checked by a CI test -- score normalized to 1
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
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
2.2/7.5Maintained — 4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3
0/5Packaging — no data
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
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 11 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.7
Excluded from scoring (no data or not applicable): Packaging, 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
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories22
affected_packages5
assessed_packages34
unassessed_packages4
affected_by_severityhigh 3, moderate 2
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 34 resolved dependencies against OSV. 4 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

74Good · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 92 of 92 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
12.6/18One-command bootstrap — src/data_factory_testing_framework/_pythonnet/Evaluator.csproj (toolchain convention, no task runner)
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/data_factory_testing_framework/py.typed
10/10Reproducible environment — devcontainer, lockfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 8 of the last 100 commits are automated dependency updates
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontaineryes
has_linter_configyes
typecheck_configssrc/data_factory_testing_framework/py.typed
agent_commit_share0.03
toolchain_manifestssrc/data_factory_testing_framework/_pythonnet/Evaluator.csproj
dependency_bot_commit_share0.08
How it's scored
27/45Type-checkable code — Python with type-check config (src/data_factory_testing_framework/py.typed)
55/55Manageable file sizes — 0/106 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes36,670
source_files_sampled106
oversized_source_files0
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

135GitHub stars
12contributors
3commits, last 12 months
0days since last push
44releases
1bus factor
18open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:data-factory-testing-framework@1.4.4; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 44 ⇿
0Stars
44Forks
42Releases

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.

0102030403822023-092025-032026-10
Major 1Minor 5Patch 36

Each point covers 3 days.

OpenSSF Scorecard 5.7 / 10
5.7aggregate

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 · 2026-10-21 13:15 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
1CI-Tests4 out of 30 merged PRs checked by a CI test -- score normalized to 1
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
3Maintained4 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 3
n/aPackagingpackaging workflow not detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities11 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIlark>=1.1.8,<2.0.0pyproject.toml
PyPIpythonnet>=3.0.3,<4.0.0pyproject.toml
All dependencies 38

Full resolved dependency set from the GitHub dependency graph: 2 direct and 36 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIlark1.1.9direct
PyPIpythonnet3.0.5direct
NuGetMicrosoft.Azure.DataFactoryTestingFramework.Expressions0.2.7indirect
PyPIastor0.8.1indirect
PyPIbuild1.2.1indirect
PyPIcffi1.17.1indirect
PyPIcfgv3.4.0indirect
PyPIclr-loader0.2.7.post0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage5.5indirect
PyPIdata-factory-testing-framework—indirect
PyPIdistlib0.3.8indirect
PyPIdocstring-parser0.15indirect
PyPIexceptiongroup1.2.0indirect
PyPIfilelock3.13.1indirect
PyPIidentify2.5.33indirect
PyPIimportlib-metadata8.0.0indirect
PyPIiniconfig2.0.0indirect
PyPImutatest3.1.0indirect
PyPInodeenv1.8.0indirect
PyPIpackaging23.2indirect
PyPIplatformdirs4.1.0indirect
PyPIpluggy1.4.0indirect
PyPIpre-commit3.6.0indirect
PyPIpycparser2.21indirect
PyPIpyproject-hooks1.1.0indirect
PyPIpytest—indirect
PyPIpytest7.4.4indirect
PyPIpython-dateutil—indirect
PyPIpython-dotenv—indirect
PyPIpyyaml6.0.1indirect
PyPIruff0.1.15indirect
PyPIsetuptools70.3.0indirect
PyPItomli2.0.1indirect
PyPItyping-extensions4.9.0indirect
PyPIvirtualenv20.26.6indirect
PyPIwheel0.43.0indirect
PyPIzipp3.19.2indirect
Dependency advisories 5

This repository publishes no package the index resolves, so its own dependency graph was assessed — 34 packages, which also include development and test pins that never ship: 5 carry known advisories, of which 0 are direct. 4 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
setuptools70.3.0indirecthigh483.0.0
virtualenv20.26.6indirecthigh1021.7.13
wheel0.43.0indirecthigh20.46.2
filelock3.13.1indirectmoderate43.20.3
pytest7.4.4indirectmoderate29.0.3

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 v0.34.0 — full methodology · metrics wiki.

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