Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 06:55 UTC

OHF-Voice / piper1-gpl

Fast and local neural text-to-speech engine

C++ · PythonGPL-3.0★ 5,304 stars⑂ 508 forkssince Mar 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

OHF-Voice/piper1-gpl holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Vitality (83/100) and lowest on Security (55/100). It was last updated 5 days ago. A single contributor accounts for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

262 followers26 public repossince Apr 2024

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpiper-tts1.7.01,140,9651012 days agohomeassistantttstext-to-speech

Metrics by category

Vitality

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

83Excellent · 21% of overall
How it's scored
36/36Push recencylast push 5 days ago
18.7/36Commit cadence27/52 weeks with commits
18/18Commit volume143 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year143
human_commit_share1
days_since_last_push5
active_weeks_last_year27
How it's scored
27/27Ships releases8 releases published
36/36Release recencylatest release 12 days ago
19.8/27Release cadencea release every ~57.3 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count8
latest_release_tagv1.7.0
releases_from_tagsno
days_since_latest_release12
mean_days_between_releases57.3

Community & Adoption

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

79Good · 17% of overall
How it's scored
60/60Stars5,304 stars
22.5/25Forks508 forks
9.3/15Watchers48 watchers
Inputs used
forks508
stars5,304
watchers48
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (GPL-3.0)
0/18CONTRIBUTING guide
0/13.5Code 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_conductno
readme_badge_services
has_pull_request_templateno
How it's scored
80/80Monthly downloads1,140,965 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagespiper-tts
dependents
ecosystemspypi
total_downloads
monthly_downloads1,140,965
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?

58Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
2.4/22.5Commit distributiontop contributor authored 89% of commits
13.5/13.5Contributor breadth15 contributors
6/10OpenSSF Scorecard: Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled15
top_contributor_share0.892
How it's scored
18.4/42Issue resolution44% of issues closed
21.1/30PR acceptance38/54 decided PRs merged
7.8/13Newcomer PR acceptance3/5 first-time contributors' PRs merged in 30d
4.5/15OpenSSF Scorecard: Code-ReviewFound 7/21 approved changesets -- score normalized to 3
Inputs used
merged_prs38
open_issues86
closed_issues67
prs_merged_7d1
prs_decided_7d1
prs_merged_30d16
prs_decided_30d18
issue_closed_ratio0.438
closed_unmerged_prs16
first_time_authors_30d5
first_time_prs_merged_30d3
first_time_prs_decided_30d5
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
17.4/25Owner reach262 followers of OHF-Voice
15.1/25Track record26 public repos, account ~2 yr old
Inputs used
followers262
owner_typeOrganization
is_verifiedno
owner_loginOHF-Voice
public_repos26
account_age_days855

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 12 days ago
20/20Version history10 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespiper-tts
ecosystemspypi
any_deprecatedno
min_days_since_publish12

Engineering Quality

Are baseline engineering and documentation practices in place?

75Good · 19% of overall
How it's scored
24/24CI workflows4 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.black]), setup.cfg ([flake8], [isort]), tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests18 out of 19 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
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics
has_wikino
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?

55Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
2.2/2.5CI-Tests18 out of 19 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
2.2/7.5Code-ReviewFound 7/21 approved changesets -- score normalized to 3
1.5/2.5Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4.4

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_packages6
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:piper-tts@1.7.0 runtime dependency closure — what installing the published package pulls in — 6 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.

64Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
23.5/40Legible commit history44 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.44
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapsrc/piper/train/vits/monotonic_align/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.black]), setup.cfg ([flake8], [isort]), tox.ini
11/11Static type checkingmypy.ini, src/piper/py.typed
10/10Reproducible environmentDockerfile
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_dockerfileyes
typed_languageyes
bootstrap_filessrc/piper/train/vits/monotonic_align/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, src/piper/py.typed
agent_commit_share0.11
toolchain_manifests
dependency_bot_commit_share0
How it's scored
45/45Type-checkable codeC++ (statically typed)
53.5/55Manageable file sizes2/71 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes1,947,006
source_files_sampled71
oversized_source_files2

Key facts

5,304GitHub stars
15contributors
143commits, last 12 months
5days since last push
8releases
1bus factor
86open 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 ★ / 508 ⇿
0Stars
508Forks
7Releases

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.

010020030040050060050872025-072026-022026-08
Major 0Minor 4Patch 3

Each point covers 2 days.

OpenSSF Scorecard 4.4 / 10
4.4aggregate

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 · 2026-08-28 06:55 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
9CI-Tests18 out of 19 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3Code-ReviewFound 7/21 approved changesets -- score normalized to 3
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 27

Full resolved dependency set from the GitHub dependency graph: 0 direct and 27 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIblack24.8.0indirect
PyPIbuild1.2.2indirect
PyPIcmakeindirect
PyPIcythonindirect
PyPIflake87.1.1indirect
PyPIflaskindirect
PyPIg2pwindirect
PyPIisort5.13.2indirect
PyPIjsonargparseindirect
PyPIlibrosaindirect
PyPIlightningindirect
PyPImypy1.14.0indirect
PyPIninjaindirect
PyPIonnxindirect
PyPIonnxruntimeindirect
PyPIpathvalidateindirect
PyPIpylint3.2.7indirect
PyPIpyopenjtalk-plusindirect
PyPIpysilero-vadindirect
PyPIpytest8.3.4indirect
PyPIscikit-buildindirect
PyPIsentence-streamindirect
PyPItensorboardindirect
PyPItensorboardxindirect
PyPItorchindirect
PyPItransformersindirect
PyPIunicode-rbnfindirect
Dependency advisories 0

Installing pypi:piper-tts@1.7.0 pulls in 6 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.