Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 09:26 UTC

KoljaB / RealtimeTTS

Converts text to speech in realtime

PythonMIT★ 4,016 stars⑂ 404 forkssince Aug 2023View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#python#realtime#speech-synthesis#text-to-speech

KoljaB/RealtimeTTS holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (89/100) and lowest on Security (21/100). It was last updated today. A single contributor accounts for most of its recent work.

75
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.

75
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 65 is calibrated to 75 on the published index scale (record calibration 2026-08-02).

Ownership

Kolja BeigelPersonal account
989 followers36 public repossince May 2014

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
PyPIrealtimetts0.8.16,776890 days agoreal-timetext-to-speechttsstreamingaudiovoicesynthesissentence-segmentationlow-latencycharacter-streamingdynamic-feedbackaudio-outputtext-inputtts-engineaudio-playbackstream-playersentence-fragmentaudio-feedbackinteractivepython

Metrics by category

Vitality

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

81Excellent · 21% of overall

Development activity

74Good
How it's scored
36/36Push recency — last push 0 days ago
12.5/36Commit cadence — 18/52 weeks with commits
17.7/18Commit volume — 93 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year93
human_commit_share1
days_since_last_push0
active_weeks_last_year18

Release discipline

92Excellent
How it's scored
27/27Ships releases — 65 releases published
36/36Release recency — latest release 0 days ago
19.8/27Release cadence — a release every ~53.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count65
latest_release_tagv0.8.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases53.4

Community & Adoption

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

69Good · 17% of overall

Popularity & adoption

89Excellent
How it's scored
58.5/60Stars — 4,016 stars
21.7/25Forks — 404 forks
8.8/15Watchers — 40 watchers
Inputs used
forks404
stars4,016
watchers40
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
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
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

64Moderate
How it's scored
51.1/80Monthly downloads — 6,776 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesrealtimetts
dependents—
ecosystemspypi
total_downloads—
monthly_downloads6,776
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?

61Moderate · 23% of overall

Maintainer resilience (bus factor)

30At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4.2/22.5Commit distribution — top contributor authored 82% of commits
13.5/13.5Contributor breadth — 43 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled43
top_contributor_share0.815

Issue & PR responsiveness

60Moderate
How it's scored
18.6/42Issue resolution — 44% of issues closed
24.7/30PR acceptance — 103/125 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs103
open_issues119
closed_issues95
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.444
closed_unmerged_prs22
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.

Ownership & stewardship

69Good
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
21.5/25Owner reach — 989 followers of KoljaB
23.4/25Track record — 36 public repos, account ~12 yr old
Inputs used
followers989
owner_typeUser
is_verified—
owner_loginKoljaB
public_repos36
account_age_days4,486
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 — 89 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesrealtimetts
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

89Excellent · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-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_configyes

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicspython, realtime, speech-synthesis, text-to-speech
has_wikiyes
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?

21At Risk · 16% of overall

Security posture

1Critical
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestsexample_rvc/requirements.txt, pyproject.toml, requirements.txt, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configno

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories132
affected_packages17
assessed_packages69
unassessed_packages58
affected_by_severitycritical 3, high 9, moderate 5
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 69 resolved dependencies against OSV. 58 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

54Moderate · 4% of overall

Agent context & guidance

60Moderate
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
15.5/40Legible commit history — 29 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.29
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes1,225

Verify loop (build / test / typecheck)

50Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.5/55Manageable file sizes — 2/221 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes90,224
source_files_sampled221
oversized_source_files2

Key facts

4,016GitHub stars
43contributors
93commits, last 12 months
0days since last push
65releases
1bus factor
119open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:realtimetts@0.8.1; advisories assessed against the repository dependency graph instead
  • OpenSSF Scorecard did not return a usable result (killed by SIGKILL — most likely the container's memory limit; 2026/08/28 09:24:31 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 404 ⇿
0Stars
404Forks
62Releases

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.

0100200300400500401142023-092025-032026-08
Major 0Minor 5Patch 57

Each point covers 3 days.

All dependencies 127

Full resolved dependency set from the GitHub dependency graph: 0 direct and 127 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.12.1indirect
PyPIanyio4.6.0indirect
PyPIaudioop-lts—indirect
PyPIazure-cognitiveservices-speech—indirect
PyPIcamb-sdk—indirect
PyPIcartesia3.1.0indirect
PyPIcertifi2024.8.30indirect
PyPIcharset-normalizer3.3.2indirect
PyPIchatterbox-tts—indirect
PyPIclick8.1.7indirect
PyPIclick8.3.1indirect
PyPIcn2an—indirect
PyPIcolorama0.4.6indirect
PyPIcoqui-tts—indirect
PyPIdistro1.9.0indirect
PyPIdotenv0.9.9indirect
PyPIedge-tts—indirect
PyPIelevenlabs—indirect
PyPIemoji2.8.0indirect
PyPIespeakng-loader—indirect
PyPIfairseq0.12.2indirect
PyPIfaiss-cpu1.7.3indirect
PyPIfastapi—indirect
PyPIfastapi0.115.0indirect
PyPIfastapi0.115.4indirect
PyPIfaster-qwen3-tts—indirect
PyPIfasttext-predict—indirect
PyPIfilelock3.16.1indirect
PyPIfsspec2024.9.0indirect
PyPIfugashi—indirect
PyPIgtts—indirect
PyPIh110.14.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.5indirect
PyPIhttpx0.27.2indirect
PyPIhuggingface-hub—indirect
PyPIhuggingface-hub0.24.5indirect
PyPIidna3.10indirect
PyPIidna3.11indirect
PyPIinflect—indirect
PyPIjaconv—indirect
PyPIjieba—indirect
PyPIjinja23.1.4indirect
PyPIjiter0.5.0indirect
PyPIjoblib1.4.2indirect
PyPIkokoro—indirect
PyPIlhotse—indirect
PyPIlibrosa—indirect
PyPImarkupsafe2.1.5indirect
PyPImojimoji—indirect
PyPImpmath1.3.0indirect
PyPImunch—indirect
PyPInetworkx3.3indirect
PyPIneutts—indirect
PyPInltk—indirect
PyPInltk3.8.1indirect
PyPInum2words—indirect
PyPInumpy—indirect
PyPInumpy2.1.1indirect
PyPIomnivoice—indirect
PyPIonnxruntime—indirect
PyPIopenai—indirect
PyPIopenai1.47.1indirect
PyPIordered-set—indirect
PyPIphonemizer—indirect
PyPIpip25.3indirect
PyPIpiper-phonemize—indirect
PyPIpocket-tts—indirect
PyPIpraat-parselmouth0.4.3indirect
PyPIprotobuf5.28.2indirect
PyPIpyaudio—indirect
PyPIpyaudio0.2.14indirect
PyPIpydantic2.12.5indirect
PyPIpydantic2.9.2indirect
PyPIpydantic-core2.23.4indirect
PyPIpydantic-core2.41.5indirect
PyPIpydub—indirect
PyPIpydub0.25.1indirect
PyPIpyopenjtalk—indirect
PyPIpypinyin—indirect
PyPIpython-dotenv1.2.1indirect
PyPIpyttsx3—indirect
PyPIpyworld0.3.2indirect
PyPIpyyaml—indirect
PyPIrealtimetts—indirect
PyPIrealtimetts0.1.0indirect
PyPIrealtimetts0.4.5indirect
PyPIrealtimetts-qwen-native0.1.0indirect
PyPIregex2024.9.11indirect
PyPIrequests—indirect
PyPIrequests2.32.3indirect
PyPIresampy0.4.3indirect
PyPIsafetensors—indirect
PyPIsetuptools—indirect
PyPIsnac—indirect
PyPIsniffio1.3.1indirect
PyPIsoprano-tts—indirect
PyPIsopro—indirect
PyPIsoundfile—indirect
PyPIstanza1.6.1indirect
PyPIstarlette0.38.6indirect
PyPIstarlette0.50.0indirect
PyPIstream2sentence—indirect
PyPIstream2sentence0.2.5indirect
PyPIsympy1.13.3indirect
PyPItensorboard—indirect
PyPItensorboardx2.6.2.2indirect
PyPItorch—indirect
PyPItorch2.2.2indirect
PyPItorchaudio—indirect
PyPItorchcrepe0.0.20indirect
PyPItorchfcpe0.0.4indirect
PyPItqdm4.66.5indirect
PyPItransformers—indirect
PyPItypecast-python—indirect
PyPItyping-extensions4.12.2indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIunidecode—indirect
PyPIunidic-lite—indirect
PyPIurllib32.2.3indirect
PyPIuvicorn—indirect
PyPIuvicorn0.30.6indirect
PyPIuvicorn0.32.0indirect
PyPIvocos—indirect
Dependency advisories 17

This repository publishes no package the index resolves, so its own dependency graph was assessed — 69 packages, which also include development and test pins that never ship: 17 carry known advisories, of which 0 are direct. 58 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
h110.14.0indirectcritical20.16.0
nltk3.8.1indirectcritical343.10.0
torch2.2.2indirectcritical232.13.0
click8.1.7indirecthigh18.3.3
click8.3.1indirecthigh18.3.3
jinja23.1.4indirecthigh63.1.6
pip25.3indirecthigh926.2
protobuf5.28.2indirecthigh46.33.5
stanza1.6.1indirecthigh21.12.2
starlette0.38.6indirecthigh141.3.1
starlette0.50.0indirecthigh101.3.1
urllib32.2.3indirecthigh122.7.0
filelock3.16.1indirectmoderate43.20.3
idna3.10indirectmoderate23.15
idna3.11indirectmoderate23.15
python-dotenv1.2.1indirectmoderate21.2.2
requests2.32.3indirectmoderate42.33.0

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.

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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.