Public record
Software health reportschema 0.16.0 · metrics 2.10.0 · 2026-07-21 01:00 UTC

microsoft / lsprotocol

Code generator and generated types for Language Server Protocol.

Python · RustMIT★ 158 stars⑂ 36 forkssince Jun 2022View on GitHub ↗

microsoft/lsprotocol holds a health index of 59 out of 100, placing it in the Moderate band. It scores highest on Sustainability & Governance (71/100) and lowest on Vitality (31/100). It was last updated 110 days ago. A single contributor accounts for most of its recent work.

59
overall / 100
Moderate

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.

59
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 56 is calibrated to 59 on the published index scale (record calibration 2026-08-02).

Ownership

MicrosoftOrganization
125,493 followers8,207 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
PyPIgeneratorpoints to another repo — not scored0.1-alpha1615207 days ago
PyPIlsprotocol2025.0.0-23398 days ago

Metrics by category

Vitality

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

31At Risk · 21% of overall
How it's scored
9.9/36Push recencylast push 110 days ago
0.7/36Commit cadence1/52 weeks with commits
4.3/18Commit volume2 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year2
human_commit_share
days_since_last_push110
active_weeks_last_year1
How it's scored
27/27Ships releases23 releases published
7.2/36Release recencylatest release 398 days ago
19.8/27Release cadencea release every ~80.8 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count23
latest_release_tag2025.0.0
releases_from_tagsno
days_since_latest_release398
mean_days_between_releases80.8

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

60Moderate · 17% of overall
How it's scored
35.6/60Stars158 stars
12.9/25Forks36 forks
6.4/15Watchers15 watchers
Inputs used
forks36
stars158
watchers15
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
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_badges
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

71Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
6.2/22.5Commit distributiontop contributor authored 72% of commits
13.5/13.5Contributor breadth23 contributors
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled23
top_contributor_share0.725
How it's scored
37.1/42Issue resolution88% of issues closed
18.3/30PR acceptance204/335 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_prs204
open_issues13
closed_issues98
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.883
closed_unmerged_prs131
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.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
25/25Owner reach125,493 followers of microsoft
25/25Track record8,207 public repos, account ~12 yr old
Inputs used
followers125,493
owner_typeOrganization
is_verified
owner_loginmicrosoft
public_repos8,207
account_age_days4,605
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
14/35Publish recencylatest publish 398 days ago
20/20Version history23 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packageslsprotocol
ecosystemspypi
any_deprecatedno
min_days_since_publish398

Engineering Quality

Are baseline engineering and documentation practices in place?

55Moderate · 19% of overall
How it's scored
24/24CI workflows8 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
4/20OpenSSF Scorecard: CI-Tests7 out of 30 merged PRs checked by a CI test -- score normalized to 2
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

60Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics3 topics
10/10Wiki
Inputs used
topicscsharp, python, rust
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_dirno
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-Artifactsno binaries found in the repo
6/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
0.5/2.5CI-Tests7 out of 30 merged PRs checked by a CI test -- score normalized to 2
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
0.8/2.5Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
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
0/7.5Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
3.5/5SASTSAST tool detected but not run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.8
Excluded from scoring (no data or not applicable): Packaging. 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_packages3
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:lsprotocol@2025.0.0 runtime dependency closure — what installing the published package pulls in — 3 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.

49Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno 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.
How it's scored
18/18One-command bootstrapnoxfile.py
22/22Automated tests
0/11Lint / format config
11/11Static type checkingpackages/python/lsprotocol/py.typed
10/10Reproducible environmentdevcontainer, Dockerfile
0/10Demonstrated agent practiceno data
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesnoxfile.py
has_devcontaineryes
has_linter_configno
typecheck_configspackages/python/lsprotocol/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.
How it's scored
27/45Type-checkable codePython with type-check config (packages/python/lsprotocol/py.typed)
53.6/55Manageable file sizes2/80 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes476,695
source_files_sampled80
oversized_source_files2

Key facts

158GitHub stars
23contributors
2commits, last 12 months
110days since last push
23releases
1bus factor
13open issues
PyPIpackage ecosystems

Data collection warnings

  • pypi package 'generator' points at a different repository (UNKNOWN); excluded from ecosystem scoring

More detail

OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 · 2026-07-21 00:59 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
2CI-Tests7 out of 30 merged PRs checked by a CI test -- score normalized to 2
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
7SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIattrssetup.cfg
PyPIcattrssetup.cfg
PyPIjsonschemasetup.cfg
PyPIimportlib_resourcessetup.cfg
PyPIattrs>=21.3.0packages/python/pyproject.toml
PyPIcattrs!=23.2.1packages/python/pyproject.toml
All dependencies 31

Full resolved dependency set from the GitHub dependency graph: 6 direct and 25 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIattrsdirect
PyPIattrs25.3.0direct
PyPIcattrsdirect
PyPIcattrs24.1.3direct
PyPIimportlib-resources6.4.5direct
PyPIjsonschema4.23.0direct
crates.ioglobindirect
crates.iorust_decimalindirect
crates.ioserdeindirect
crates.ioserde_jsonindirect
crates.ioserde_reprindirect
crates.iourlindirect
NuGetcoverlet.collector3.2.0indirect
NuGetMicrosoft.NET.Test.Sdk17.5.0indirect
NuGetNewtonsoft.Json13.0.3indirect
NuGetxunit2.4.2indirect
NuGetxunit.runner.visualstudio2.4.5indirect
PyPIcolorama0.4.6indirect
PyPIexceptiongroup1.3.0indirect
PyPIiniconfig2.1.0indirect
PyPIjsonschema-specifications2023.12.1indirect
PyPIpackaging25.0indirect
PyPIpkgutil-resolve-name1.3.10indirect
PyPIpluggy1.5.0indirect
PyPIpyhamcrest2.1.0indirect
PyPIpytest8.3.5indirect
PyPIreferencing0.35.1indirect
PyPIrpds-py0.20.1indirect
PyPItomli2.2.1indirect
PyPItyping-extensions4.13.2indirect
PyPIzipp3.20.2indirect
Dependency advisories 0

Installing pypi:lsprotocol@2025.0.0 pulls in 3 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 v0.16.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.