Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-21 10:07 UTC

bengizmo / voxint

PythonApache-2.0★ 3 stars⑂ 0 forkssince Aug 2026View on GitHub ↗
KindCommand-line toolNetwork serviceWeb interfacehow this is determined

bengizmo/voxint holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Engineering Quality (80/100) and lowest on Community & Adoption (40/100). It was last updated today. A single contributor accounts for most of its recent work.

78
overall / 100
Good

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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

Benjamin ReedPersonal account
7 followers12 public repossince Mar 2013SAIT Polytechnic

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIvoxint0.21.02,239230 days agoasrdiarizationpyannotespeaker-identificationtranscriptionwhisper

Metrics by category

Vitality

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

77Good · 21% of overall

Development activity

62Moderate
How it's scored
36/36Push recency — last push 0 days ago
1.4/36Commit cadence — 2/52 weeks with commits
18/18Commit volume — 448 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year448
human_commit_share0.99
days_since_last_push0
active_weeks_last_year2

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 25 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count25
latest_release_tagv0.21.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.6

Community & Adoption

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

40Weak · 17% of overall

Popularity & adoption

5Critical
How it's scored
4.9/60Stars — 3 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars3
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code 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_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

56Moderate
How it's scored
44.7/80Monthly downloads — 2,239 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesvoxint
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,239
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?

57Moderate · 23% of overall

Maintainer resilience (bus factor)

12Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

86Excellent
How it's scored
32.9/42Issue resolution — 78% of issues closed
27.9/30PR acceptance — 13/14 decided PRs merged
12/13Newcomer PR acceptance — 12/13 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs13
open_issues22
closed_issues80
prs_merged_7d12
prs_decided_7d13
prs_merged_30d12
prs_decided_30d13
issue_closed_ratio0.784
closed_unmerged_prs1
first_time_authors_30d1
first_time_prs_merged_30d12
first_time_prs_decided_30d13

Ownership & stewardship

46Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
6.5/25Owner reach — 7 followers of bengizmo
20.1/25Track record — 12 public repos, account ~13 yr old
Inputs used
followers7
owner_typeUser
is_verified—
owner_loginbengizmo
public_repos12
account_age_days4,919
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 23 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesvoxint
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

80Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.js, pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/bengizmo/voxint/tree/main/docs
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_sitehttps://github.com/bengizmo/voxint/tree/main/docs
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

80Excellent · 16% of overall

Security posture

80Excellent
How it's scored
30/30Security policy (SECURITY.md)
25/25Dependabot config
25/25Dependency lockfiles — package-lock.json, uv.lock
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilespackage-lock.json, uv.lock
manifestsfrontend/package.json, pyproject.toml
has_codeql_workflowno
has_security_policyyes
has_dependabot_configyes

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.

80Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.docker.com/llms.txt)
40/40Legible commit history — 94 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.docker.com/llms.txt
legible_history_share0.949
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes9,003

Verify loop (build / test / typecheck)

80Excellent
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — eslint.config.js, pyproject.toml ([tool.ruff])
11/11Static type checking — frontend/tsconfig.json, src/voxint/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 87 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsfrontend/tsconfig.json, src/voxint/py.typed
agent_commit_share0.87
toolchain_manifests—
dependency_bot_commit_share0.01

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (frontend/tsconfig.json, src/voxint/py.typed)
54.4/55Manageable file sizes — 5/445 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes301,541
source_files_sampled445
oversized_source_files5

Machine-readable interfaces

40Weak
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

3GitHub stars
1contributors
448commits, last 12 months
0days since last push
25releases
1bus factor
22open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • deps.dev does not index pypi:voxint@0.21.0; advisories assessed against the repository dependency graph instead
  • OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks

More detail

Direct dependencies 19
RegistryPackageVersion constraintManifest
npmreact19.1.1frontend/package.json
npmreact-dom19.1.1frontend/package.json
PyPIfastapi>=0.115pyproject.toml
PyPIuvicorn>=0.30pyproject.toml
PyPIcelery>=5.4pyproject.toml
PyPIredis>=5.0pyproject.toml
PyPIsqlalchemy>=2.0pyproject.toml
PyPIpsycopg>=3.2pyproject.toml
PyPIpgvector>=0.3pyproject.toml
PyPIalembic>=1.13pyproject.toml
PyPIpydantic>=2.8pyproject.toml
PyPIpydantic-settings>=2.4pyproject.toml
PyPIhttpx>=0.27pyproject.toml
PyPIjinja2>=3.1pyproject.toml
PyPIpython-multipart>=0.0.9pyproject.toml
PyPInumpy>=1.26pyproject.toml
PyPIscipy>=1.13pyproject.toml
PyPIpyyaml>=6.0pyproject.toml
PyPIyt-dlp>=2024.8pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with bengizmo/voxint. Read them side by side →

51CrispStrobe/CrisperWeaverOn-device speech-to-text Flutter app powered by CrispASR (ggml / Whisper) — offline, multi-platform, AGPL-3.0.Moderate94modelscope/FunASROpen-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.Exceptional87moonshine-ai/moonshineVery low latency speech to text, intent recognition, and text to speech, for building voice agents and interfacesExcellent86KyaniteLabs/kinocutGuardrailed video editing MCP server for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, and CLI. Local, fast, free.Excellent71resolvicomai/kassinaoOpen-source Discord bot for named transcripts, meeting notes, tasks, and sourced answers.Good63arcforgelabs/dictateDesktop dictation that types into the focused app. Configurable push-to-talk, local/API transcription, tray settings, and recent history.Moderate

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.