Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-07 02:03 UTC

microsoft / SEAL

Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.

C++ · C#MIT★ 4,026 stars⑂ 773 forkssince Nov 2018View on GitHub ↗
KindMobile applicationhow this is determined

microsoft/SEAL holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (89/100) and lowest on Security (47/100). It was last updated 9 days ago. A single contributor accounts for most of its recent work.

80
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.

80
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 68 is calibrated to 80 on the published index scale (record calibration 2026-08-02).

Ownership

MicrosoftOrganization · verified domain
129,179 followers8,296 public repossince Dec 2013

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

Metrics by category

Vitality

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

73Good · 21% of overall
How it's scored
28.8/36Push recencylast push 9 days ago
6.9/36Commit cadence10/52 weeks with commits
14.3/18Commit volume38 commits in the last year
10/10OpenSSF Scorecard: Maintained12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year38
human_commit_share1
days_since_last_push9
active_weeks_last_year10
How it's scored
27/27Ships releases47 releases published
36/36Release recencylatest release 9 days ago
19.8/27Release cadencea release every ~86.4 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count47
latest_release_tagv4.4.4
releases_from_tagsno
days_since_latest_release9
mean_days_between_releases86.4
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?

89Excellent · 17% of overall
How it's scored
58.5/60Stars4,026 stars
24.1/25Forks773 forks
10.8/15Watchers90 watchers
Inputs used
forks773
stars4,026
watchers90
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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

Sustainability & Governance

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

65Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
5.3/22.5Commit distributiontop contributor authored 77% of commits
13.5/13.5Contributor breadth44 contributors
10/10OpenSSF Scorecard: Contributorsproject has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled44
top_contributor_share0.766
How it's scored
34.5/42Issue resolution82% of issues closed
18.7/30PR acceptance83/133 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 3/23 approved changesets -- score normalized to 1
Inputs used
merged_prs83
open_issues107
closed_issues494
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.822
closed_unmerged_prs50
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 reach129,179 followers of microsoft
25/25Track record8,296 public repos, account ~12 yr old
Inputs used
followers129,179
owner_typeOrganization
is_verifiedyes
owner_loginmicrosoft
public_repos8,296
account_age_days4,653

Engineering Quality

Are baseline engineering and documentation practices in place?

65Good · 19% of overall
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
8/20OpenSSF Scorecard: CI-Tests2 out of 5 merged PRs checked by a CI test -- score normalized to 4
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://www.microsoft.com/en-us/research/group/cryptography-research/
10/10Repository description
10/10Topics3 topics
10/10Wiki
Inputs used
topicsencryption, cryptography, homomorphic-encryption
has_wikiyes
homepagehttps://www.microsoft.com/en-us/research/group/cryptography-research/
docs_sitehttps://www.microsoft.com/en-us/research/group/cryptography-research/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

47Weak · 16% of overall
How it's scored
6.8/7.5Binary-Artifactsbinaries present in source code
0/7.5Branch-Protectionno data
1/2.5CI-Tests2 out of 5 merged PRs checked by a CI test -- score normalized to 4
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 3/23 approved changesets -- score normalized to 1
2.5/2.5Contributorsproject has 4 contributing companies or organizations
0/10Dangerous-Workflowno data
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
0/5Pinned-Dependenciesno data
3/5SASTSAST tool is not run on all commits -- score normalized to 6
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsno data
0/7.5Vulnerabilities47 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated12
scorecard_versionv5.5.0
checks_inconclusive6
scorecard_aggregate4.6
Excluded from scoring (no data or not applicable): Branch-Protection, Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. Remaining weights renormalized.

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.

60Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
4.8/40Legible commit history9 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.09
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstraptools/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checkingC++ (statically typed)
0/10Reproducible environment
2/10Demonstrated agent practice1 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageyes
bootstrap_filestools/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.01
toolchain_manifestsandroid/app/build.gradle, android/build.gradle
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.
How it's scored
45/45Type-checkable codeC++ (statically typed)
53.6/55Manageable file sizes7/268 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes291,451
source_files_sampled268
oversized_source_files7
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
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

4,026GitHub stars
44contributors
38commits, last 12 months
9days since last push
47releases
1bus factor
107open issues
Mavenpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 773 ⇿
0Stars
773Forks
47Releases

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.

0125250375500625750748332018-122022-102026-09
Major 1Minor 10Patch 36

Each point covers 8 days.

OpenSSF Scorecard 4.6 / 10
4.6aggregate

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 · 2026-09-07 02:03 UTC

9Binary-Artifactsbinaries present in source code
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
4CI-Tests2 out of 5 merged PRs checked by a CI test -- score normalized to 4
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 3/23 approved changesets -- score normalized to 1
10Contributorsproject has 4 contributing companies or organizations
n/aDangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained12 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
6SASTSAST tool is not run on all commits -- score normalized to 6
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
0Vulnerabilities47 existing vulnerabilities detected
All dependencies 0

Full resolved dependency set from the GitHub dependency graph: 0 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies to assess

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.