Public record
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-30 22:04 UTC

Blaizzy / mlx-audio

A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.

PythonMIT★ 7,654 stars⑂ 680 forkssince Nov 2024View on GitHub ↗

Blaizzy/mlx-audio holds a health index of 83 out of 100, placing it in the Good band. It scores highest on Vitality (98/100) and lowest on AI Readiness (54/100). It was last updated 1 day ago. 3 contributors account for most of its recent work.

83
overall / 100
Good

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

83
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe 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.

Ownership

Prince CanumaPersonal account
1,458 followers106 public repossince Nov 2016kulissiwa.com

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 publish
PyPImlx-audio0.4.6362,747265 days ago

Metrics by category

Vitality

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

98Excellent · 22% of overall
How it's scored
36/36Push recency — last push 1 days ago
31.8/36Commit cadence — 46/52 weeks with commits
18/18Commit volume — 735 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year735
human_commit_share1
days_since_last_push1
active_weeks_last_year46

Release discipline

100Excellent
How it's scored
27/27Ships releases — 26 releases published
36/36Release recency — latest release 5 days ago
27/27Release cadence — a release every ~20.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count26
latest_release_tagv0.4.6
releases_from_tagsno
days_since_latest_release5
mean_days_between_releases20.4
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?

80Good · 18% of overall
How it's scored
60/60Stars — 7,654 stars
23.6/25Forks — 680 forks
9.5/15Watchers — 53 watchers
Inputs used
forks680
stars7,654
watchers53
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateyes
How it's scored
74.1/80Monthly downloads — 362,747 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmlx-audio
dependents
ecosystemspypi
total_downloads
monthly_downloads362,747
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?

80Good · 24% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.8/22.5Commit distribution — top contributor authored 26% of commits
13.5/13.5Contributor breadth — 99 contributors
10/10OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled99
top_contributor_share0.255
How it's scored
35.9/46.8Issue resolution — 77% of issues closed
30.7/38.3PR acceptance — 426/531 decided PRs merged
10.5/15OpenSSF Scorecard: Code-Review — Found 10/13 approved changesets -- score normalized to 7
Inputs used
merged_prs426
open_issues70
closed_issues231
issue_closed_ratio0.767
closed_unmerged_prs105
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
22.7/25Owner reach — 1,458 followers of Blaizzy
25/25Track record — 106 public repos, account ~9 yr old
Inputs used
followers1,458
owner_typeUser
is_verified
owner_loginBlaizzy
public_repos106
account_age_days3,545
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 5 days ago
20/20Version history — 26 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmlx-audio
ecosystemspypi
any_deprecatedno
min_days_since_publish5

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 20% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — .eslintrc.json
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://blaizzy.github.io/mlx-audio/
10/10Repository description
10/10Topics — 9 topics
0/10Wiki
Inputs used
topicsapple-silicon, audio-processing, mlx, multimodal, speech-recognition, speech-synthesis, speech-to-text, text-to-speech, transformers
has_wikino
homepagehttps://blaizzy.github.io/mlx-audio/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
5.2/7.5Code-Review — Found 10/13 approved changesets -- score normalized to 7
2.5/2.5Contributors — project has 9 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 — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 42 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.8
Excluded from scoring (no data or not applicable): branch_protection, signed_releases. Remaining weights renormalized.
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_packages38
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:mlx-audio@0.4.6 runtime dependency closure — what installing the published package pulls in — 38 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

54Moderate · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
34.1/40Legible commit history — 64 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.64
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .eslintrc.json
11/11Static type checking — examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 8 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configsexamples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json
agent_commit_share0.08
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json)
54.4/55Manageable file sizes — 8/731 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes354,737
source_files_sampled731
oversized_source_files8
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

Key facts

7,654GitHub stars
99contributors
735commits, last 12 months
1days since last push
26releases
3bus factor
70open 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 ★ / 680 ⇿
0Stars
680Forks
26Releases

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.

0125250375500625750663532025-022025-112026-07
Major 0Minor 4Patch 21

Each point covers 2 days.

OpenSSF Scorecard 4.8 / 10
4.8aggregate

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 · 2026-07-30 22:04 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
10CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7Code-ReviewFound 10/13 approved changesets -- score normalized to 7
10Contributorsproject has 9 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 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
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities42 existing vulnerabilities detected
Direct dependencies 9
RegistryPackageVersion constraintManifest
PyPIhuggingface_hub>=1.0pyproject.toml
PyPIminiaudio>=1.61pyproject.toml
PyPImlx-lm>=0.31.1pyproject.toml
PyPImlx>=0.31.1pyproject.toml
PyPInumpy>=1.26.4pyproject.toml
PyPIscipy>=1.10.0pyproject.toml
PyPIsounddevice>=0.5.3pyproject.toml
PyPItqdm>=4.67.1pyproject.toml
PyPItransformers>=5.14.0pyproject.toml
All dependencies 136

Full resolved dependency set from the GitHub dependency graph: 11 direct and 125 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIhuggingface-hub1.11.0direct
PyPIminiaudio1.61direct
PyPImlx0.31.2direct
PyPImlx-lm0.31.1direct
PyPInumpy2.2.6direct
PyPInumpy2.3.5direct
PyPIscipy1.15.3direct
PyPIscipy1.17.0direct
PyPIsounddevice0.5.3direct
PyPItqdm4.67.1direct
PyPItransformers5.6.0direct
npm@react-three/drei~9.105.6indirect
npm@react-three/fiber~8.16.8indirect
npm@types/bunlatestindirect
npm@types/fluent-ffmpeg^2.1.27indirect
npm@types/node^20indirect
npm@types/node^22.13.10indirect
npm@types/react^18indirect
npm@types/react-dom^18indirect
npmclass-variance-authority^0.7.1indirect
npmclsx^2.1.1indirect
npmD^1.0.0indirect
npmeslint^8indirect
npmeslint-config-next14.2.16indirect
npmfluent-ffmpeg^2.1.3indirect
npmlucide-react^0.511.0indirect
npmmkdirp^3.0.1indirect
npmnext^15.4.7indirect
npmnext-themes^0.4.6indirect
npmpostcss^8indirect
npmreact^18indirect
npmreact-dom^18indirect
npmtailwind-merge^3.3.0indirect
npmtailwindcss^3.4.1indirect
npmtailwindcss-animate^1.0.7indirect
npmthree^0.163.0indirect
npmtypescript^5indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.12.1indirect
PyPIattrs25.4.0indirect
PyPIbabel2.17.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIbackrefs6.2indirect
PyPIblack26.1.0indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIdistlib0.4.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfastapi0.128.0indirect
PyPIfilelock3.20.3indirect
PyPIfsspec2026.1.0indirect
PyPIghp-import2.1.0indirect
PyPIgriffelib2.0.2indirect
PyPIh110.16.0indirect
PyPIhf-xet1.4.3indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.7.1indirect
PyPIhttpx0.28.1indirect
PyPIidentify2.6.16indirect
PyPIidna3.11indirect
PyPIiniconfig2.3.0indirect
PyPIisort7.0.0indirect
PyPIjinja23.1.6indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImistral-common1.8.8indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-material9.7.6indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocstrings1.0.3indirect
PyPImkdocstrings-python2.0.3indirect
PyPImlx-metal0.31.2indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.0indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.0.4indirect
PyPIpillow12.1.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.5.1indirect
PyPIprotobuf6.33.5indirect
PyPIpycountry24.6.1indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpydantic-extra-types2.11.0indirect
PyPIpygments2.19.2indirect
PyPIpymdown-extensions10.21.2indirect
PyPIpytest9.0.2indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.22indirect
PyPIpytokens0.4.1indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.1.15indirect
PyPIrequests2.32.5indirect
PyPIrich14.3.3indirect
PyPIrpds-py0.30.0indirect
PyPIsafetensors0.7.0indirect
PyPIsentencepiece0.2.1indirect
PyPIsetuptools80.10.1indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsoundfile0.13.1indirect
PyPIsoxr1.0.0indirect
PyPIstarlette0.50.0indirect
PyPItiktoken0.12.0indirect
PyPItokenizers0.22.2indirect
PyPItomli2.4.0indirect
PyPItyper0.24.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.6.3indirect
PyPIuvicorn0.40.0indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv20.36.1indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwebrtcvad2.0.10indirect
PyPIwebsockets16.0indirect
Dependency advisories 0

Installing pypi:mlx-audio@0.4.6 pulls in 38 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
{
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          "body": "I kept the original class here for posterity, but this could probably be\nrefactored out entirely",
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          "headline": "GraniteRMSNorm -> mx.fast.rms_norm",
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          "headline": "Slice lmhead when we don't need audio logits",
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          "is_bot": false,
          "headline": "Merge pull request #826 from lucasnewman/improve-transcribe-diarize-p…",
          "author_name": "Prince Canuma",
          "author_login": "Blaizzy",
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          "headline": "Improve MOSS-Transcribe-Diarize performance.",
          "author_name": "Lucas Newman",
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          "headline": "Improve audio loading performance.",
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          "body": "…eatures\n\nOptimize MOSS-TD audio feature injection",
          "is_bot": false,
          "headline": "Merge pull request #823 from sxy-trans-n/codex/moss-td-inject-audio-f…",
          "author_name": "Lucas Newman",
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          "body": "Fix slow STT tests",
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          "headline": "Merge pull request #810 from lucasnewman/fix-slow-stt-tests",
          "author_name": "Prince Canuma",
          "author_login": "Blaizzy",
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          "headline": "Merge branch 'main' into fix-slow-stt-tests",
          "author_name": "Prince Canuma",
          "author_login": "Blaizzy",
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          "body": "Bump version to v0.4.5",
          "is_bot": false,
          "headline": "Merge pull request #824 from Blaizzy/Blaizzy-patch-8",
          "author_name": "Prince Canuma",
          "author_login": "Blaizzy",
          "committed_at": "2026-07-09T15:37:04Z",
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          "body": "Signed-off-by: Prince Canuma <prince.gdt@gmail.com>",
          "is_bot": false,
          "headline": "Update version.py",
          "author_name": "Prince Canuma",
          "author_login": "Blaizzy",
          "committed_at": "2026-07-09T15:31:32Z",
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          "headline": "Optimize MOSS-TD audio feature injection",
          "author_name": "sxy-trans-n",
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          "oid": "c46d15312ad52b0928c0f20dc2d6a880461f32c5",
          "body": "feat(stt): implement segment batching for Qwen3-ASR (--max-parallel-segments)",
          "is_bot": false,
          "headline": "Merge pull request #783 from hhh2210/feat/qwen3-asr-segment-batching",
          "author_name": "Lucas Newman",
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          "body": "Add MOSS-Music",
          "is_bot": false,
          "headline": "Merge pull request #819 from lucasnewman/add-moss-music",
          "author_name": "Prince Canuma",
          "author_login": "Blaizzy",
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          "headline": "Merge branch 'main' into add-moss-music",
          "author_name": "Lucas Newman",
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          "headline": "Add instruct model.",
          "author_name": "Lucas Newman",
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          "headline": "Add MOSS-Music.",
          "author_name": "Lucas Newman",
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            "inputs": {
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            "notes": [
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                "speech-to-text",
                "text-to-speech",
                "transformers"
              ],
              "has_wiki": false,
              "homepage": "https://blaizzy.github.io/mlx-audio/",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://blaizzy.github.io/mlx-audio/",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "9 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 9
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 58,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 47,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 4.8
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal 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",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "13 out of 13 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 10/13 approved changesets -- score normalized to 7",
                "points": 5.2,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 9 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "42 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:mlx-audio@0.4.6 runtime dependency closure — what installing the published package pulls in — 38 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:mlx-audio@0.4.6",
                  "assessed": 38
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 38,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 38,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 10
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 54,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 34,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.64,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "64 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 34.1,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 64,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 64,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "examples/bible-audiobook/tsconfig.json",
                "mlx_audio/ui/tsconfig.json"
              ],
              "agent_commit_share": 0.08,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": ".eslintrc.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".eslintrc.json"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "8 of the last 100 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 8,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 81,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 354737,
              "source_files_sampled": 731,
              "oversized_source_files": 8
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "8/731 source files over 60KB",
                "points": 54.4,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 731,
                      "oversized": 8
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-30T22:04:52.472370Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/Blaizzy/mlx-audio.svg",
  "full_name": "Blaizzy/mlx-audio",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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 v1.13.0, schema v0.27.0 — full methodology · metrics wiki.

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