Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 20:58 UTC

microsoft / semantic-link-labs

Early access to new features for Microsoft Fabric's Semantic Link.

PythonMIT★ 571 stars⑂ 192 forkssince May 2024View on GitHub ↗
KindLibraryNotebookhow this is determined

microsoft/semantic-link-labs holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (93/100) and lowest on AI Readiness (69/100). It was last updated 8 days ago. A single contributor accounts for most of its recent work.

94
overall / 100
Exceptional

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.

94
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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

MicrosoftOrganization · verified domain
128,549 followers8,287 public repossince Dec 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIsemantic-link-labs0.17.01,872,0726230 days ago

Metrics by category

Vitality

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

93Exceptional · 21% of overall
How it's scored
28.8/36Push recencylast push 8 days ago
32.5/36Commit cadence47/52 weeks with commits
18/18Commit volume733 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 22 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year733
human_commit_share1
days_since_last_push8
active_weeks_last_year47

Release discipline

100Exceptional
How it's scored
27/27Ships releases61 releases published
36/36Release recencylatest release 30 days ago
27/27Release cadencea release every ~16.8 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count61
latest_release_tag0.17.0
releases_from_tagsno
days_since_latest_release30
mean_days_between_releases16.8
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?

76Good · 17% of overall
How it's scored
44.7/60Stars571 stars
19/25Forks192 forks
7.4/15Watchers22 watchers
Inputs used
forks192
stars571
watchers22
growth_stateorganic
growth_factor_pct100
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_badges3
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, readthedocs.org, shields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads1,872,072 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagessemantic-link-labs
dependents
ecosystemspypi
total_downloads
monthly_downloads1,872,072
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?

77Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
1/22.5Commit distributiontop contributor authored 96% of commits
13.5/13.5Contributor breadth28 contributors
6/10OpenSSF Scorecard: Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled28
top_contributor_share0.955
How it's scored
37.6/42Issue resolution90% of issues closed
26.6/30PR acceptance648/730 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs648
open_issues46
closed_issues391
prs_merged_7d0
prs_decided_7d0
prs_merged_30d13
prs_decided_30d13
issue_closed_ratio0.895
closed_unmerged_prs82
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 backingorganization-owned
20/20Verified domain
25/25Owner reach128,549 followers of microsoft
25/25Track record8,287 public repos, account ~12 yr old
Inputs used
followers128,549
owner_typeOrganization
is_verifiedyes
owner_loginmicrosoft
public_repos8,287
account_age_days4,643

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 30 days ago
20/20Version history62 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagessemantic-link-labs
ecosystemspypi
any_deprecatedno
min_days_since_publish30

Engineering Quality

Are baseline engineering and documentation practices in place?

83Excellent · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter config.flake8, pyproject.toml ([tool.flake8])
0/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests27 out of 29 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics7 topics
10/10Wiki
Inputs used
topicsanalysis-services, analysis-services-tabular, jupyter-notebook, microsoftfabric, powerbi, python, dax
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

78Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
4.5/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.2/2.5CI-Tests27 out of 29 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
1.5/2.5Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 22 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
4.5/5SASTSAST tool detected but not run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7.2
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 advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages78
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:semantic-link-labs@0.17.0 runtime dependency closure — what installing the published package pulls in — 78 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.

69Good · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
26.7/40Legible commit history50 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.5
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes20,744
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format config.flake8, pyproject.toml ([tool.flake8])
0/11Static type checking
0/10Reproducible environment
10/10Demonstrated agent practice11 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.11
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
52/55Manageable file sizes17/311 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes535,217
source_files_sampled311
oversized_source_files17
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples, notebooks
Inputs used
example_dirsexamples, notebooks
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

571GitHub stars
28contributors
733commits, last 12 months
8days since last push
61releases
1bus factor
46open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-16: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 571 stars today.

More detail

Star and fork history 549 ★ / 192 ⇿
549Stars
192Forks
61Releases

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.

Star history is shown as collected on 2026-07-16. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

0100200300400500600548189172024-052025-072026-08
Major 0Minor 13Patch 48

Each point covers 3 days.

OpenSSF Scorecard 7.2 / 10
7.2aggregate

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 · 2026-08-27 20:55 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests27 out of 29 merged PRs checked by a CI test -- score normalized to 9
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
10Maintained30 commit(s) and 22 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
9SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIsemantic-link-sempy>=0.14.2pyproject.toml
PyPIanytreepyproject.toml
PyPIpolibpyproject.toml
PyPIjsonpath_ngpyproject.toml
PyPIanywidgetpyproject.toml
PyPIsqlglotpyproject.toml
All dependencies 15

Full resolved dependency set from the GitHub dependency graph: 6 direct and 9 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIanytreedirect
PyPIanywidgetdirect
PyPIjsonpath-ngdirect
PyPIpolibdirect
PyPIsemantic-link-sempydirect
PyPIsqlglotdirect
PyPIazure-identity1.16.1indirect
PyPIazure-keyvault-secretsindirect
PyPIazure-storage-blobindirect
PyPIazure-storage-file-datalake12.3.1indirect
PyPIipythonindirect
PyPInumpyindirect
PyPIpandasindirect
PyPIpytestindirect
PyPIsphinx-rtd-themeindirect
Dependency advisories 0

Installing pypi:semantic-link-labs@0.17.0 pulls in 78 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.

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 statisticsPyPI.