Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-18 22:46 UTC

OpenMined / TenSEAL

A library for doing homomorphic encryption operations on tensors

C++ · Python · Jupyter NotebookApache-2.0★ 1,040 stars⑂ 176 forkssince Jan 2020View on GitHub ↗

OpenMined/TenSEAL holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (81/100) and lowest on Security (63/100). It was last updated 11 days ago. 2 contributors account 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

OpenMinedOrganization · verified domain
847 followers180 public repossince Jul 2017

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPItenseal0.3.1833,5113236 days agohomomorphicencryptiontensordeep-learningprivacysecure

Metrics by category

Vitality

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

64Moderate · 21% of overall
How it's scored
28.8/36Push recency — last push 11 days ago
2.8/36Commit cadence — 4/52 weeks with commits
9.7/18Commit volume — 11 commits in the last year
10/10OpenSSF Scorecard: Maintained — 11 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year11
human_commit_share1
days_since_last_push11
active_weeks_last_year4
How it's scored
27/27Ships releases — 33 releases published
36/36Release recency — latest release 36 days ago
12.6/27Release cadence — a release every ~181.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count33
latest_release_tagv0.3.18
releases_from_tagsno
days_since_latest_release36
mean_days_between_releases181.5
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?

81Excellent · 17% of overall
How it's scored
48.9/60Stars — 1,040 stars
18.7/25Forks — 176 forks
6.8/15Watchers — 18 watchers
Inputs used
forks176
stars1,040
watchers18
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes
How it's scored
60.3/80Monthly downloads — 33,511 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagestenseal
dependents—
ecosystemspypi
total_downloads—
monthly_downloads33,511
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?

79Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.8/22.5Commit distribution — top contributor authored 43% of commits
13.5/13.5Contributor breadth — 22 contributors
10/10OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled22
top_contributor_share0.432
How it's scored
21.8/42Issue resolution — 52% of issues closed
27.5/30PR acceptance — 211/230 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
9/15OpenSSF Scorecard: Code-Review — Found 19/30 approved changesets -- score normalized to 6
Inputs used
merged_prs211
open_issues130
closed_issues140
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.519
closed_unmerged_prs19
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
20/20Verified domain
21.1/25Owner reach — 847 followers of OpenMined
25/25Track record — 180 public repos, account ~9 yr old
Inputs used
followers847
owner_typeOrganization
is_verifiedyes
owner_loginOpenMined
public_repos180
account_age_days3,383

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 36 days ago
20/20Version history — 32 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagestenseal
ecosystemspypi
any_deprecatedno
min_days_since_publish36

Engineering Quality

Are baseline engineering and documentation practices in place?

68Good · 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
6/20OpenSSF Scorecard: CI-Tests — 11 out of 30 merged PRs checked by a CI test -- score normalized to 3
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 10 topics
0/10Wiki
Inputs used
topicstensor, homomorphic-encryption, cryptography, deep-learning, python, cpp, microsoft-seal, encryption, docker-image, hacktoberfest
has_wikino
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?

63Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
0.8/2.5CI-Tests — 11 out of 30 merged PRs checked by a CI test -- score normalized to 3
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
4.5/7.5Code-Review — Found 19/30 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 7 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
7.5/7.5Maintained — 11 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
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
4.5/7.5Vulnerabilities — 4 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.4
Excluded from scoring (no data or not applicable): Branch-Protection, 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
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages1
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:tenseal@0.3.18 runtime dependency closure — what installing the published package pulls in — 1 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.

66Good · 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 — 99 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.99
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — C++ (statically typed)
10/10Reproducible environment — lockfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageyes
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
45/45Type-checkable code — C++ (statically typed)
55/55Manageable file sizes — 0/89 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes43,634
source_files_sampled89
oversized_source_files0
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — tenseal/proto/tensealcontext.proto, tenseal/proto/tensors.proto
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — notebooks
Inputs used
example_dirsnotebooks
has_mcp_signalno
api_schema_filestenseal/proto/tensealcontext.proto, tenseal/proto/tensors.proto
interfaces_expected_of—
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

1,040GitHub stars
22contributors
11commits, last 12 months
11days since last push
33releases
2bus factor
130open 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 ★ / 176 ⇿
0Stars
176Forks
33Releases

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.

0408012016020017432020-022023-062026-10
Major 0Minor 2Patch 18

Each point covers 7 days.

OpenSSF Scorecard 5.4 / 10
5.4aggregate

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 · 2026-10-18 22:46 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
3CI-Tests11 out of 30 merged PRs checked by a CI test -- score normalized to 3
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 19/30 approved changesets -- score normalized to 6
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained11 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
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
6Vulnerabilities4 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPInumpy—pyproject.toml
All dependencies 64

Full resolved dependency set from the GitHub dependency graph: 2 direct and 62 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPInumpy2.4.6direct
PyPInumpy2.5.1direct
PyPIcfgv3.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.2indirect
PyPIcuda-bindings13.3.1indirect
PyPIcuda-pathfinder1.6.0indirect
PyPIcuda-toolkit13.0.3.0indirect
PyPIdistlib0.4.3indirect
PyPIfilelock3.32.0indirect
PyPIfsspec2026.6.0indirect
PyPIidentify2.6.19indirect
PyPIimageio2.37.4indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlazy-loader0.5indirect
PyPImarkupsafe3.0.3indirect
PyPImpmath1.3.0indirect
PyPInetworkx3.6.1indirect
PyPInodeenv1.10.0indirect
PyPInvidia-cublas13.1.1.3indirect
PyPInvidia-cuda-cupti13.0.85indirect
PyPInvidia-cuda-nvrtc13.0.88indirect
PyPInvidia-cuda-runtime13.0.96indirect
PyPInvidia-cudnn-cu139.20.0.48indirect
PyPInvidia-cufft12.0.0.61indirect
PyPInvidia-cufile1.15.1.6indirect
PyPInvidia-curand10.4.0.35indirect
PyPInvidia-cusolver12.0.4.66indirect
PyPInvidia-cusparse12.6.3.3indirect
PyPInvidia-cusparselt-cu130.8.1indirect
PyPInvidia-nccl-cu132.29.7indirect
PyPInvidia-nvjitlink13.3.33indirect
PyPInvidia-nvshmem-cu133.4.5indirect
PyPInvidia-nvtx13.0.85indirect
PyPIpackaging26.2indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.11.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.1indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpygal3.1.3indirect
PyPIpygaljs1.0.2indirect
PyPIpygments2.20.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-benchmark5.2.3indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-discovery1.5.0indirect
PyPIpyyaml6.0.3indirect
PyPIscikit-image0.26.0indirect
PyPIscipy1.17.1indirect
PyPIscipy1.18.0indirect
PyPIsetuptools83.0.0indirect
PyPIsympy1.14.0indirect
PyPItifffile2026.3.3indirect
PyPItifffile2026.7.14indirect
PyPItomli2.4.1indirect
PyPItorch2.13.0indirect
PyPItorchvision0.28.0indirect
PyPItriton3.7.1indirect
PyPItyping-extensions4.16.0indirect
PyPIvirtualenv21.7.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:tenseal@0.3.18 pulls in 1 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 statistics — PyPI.