Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-04 22:26 UTC

harry0703 / MoneyPrinterTurbo

利用 AI 大模型和自动化工作流,根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.

PythonMIT★ 101,602 stars⑂ 15,268 forkssince Mar 2024View on GitHub ↗
KindNetwork servicehow this is determined

harry0703/MoneyPrinterTurbo holds a health index of 71 out of 100, placing it in the Good band. It scores highest on Vitality (82/100) and lowest on AI Readiness (42/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

71
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.

71
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 63 is calibrated to 71 on the published index scale (record calibration 2026-08-02).

Ownership

HarryPersonal account
2,307 followers9 public repossince Jul 2013

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
PyPImoneyprinterturbopoints to another repo — not scored1.4.52791794 days ago

Metrics by category

Vitality

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

82Excellent · 21% of overall
How it's scored
36/36Push recencylast push 2 days ago
17.3/36Commit cadence25/52 weeks with commits
18/18Commit volume212 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year212
human_commit_share0.97
days_since_last_push2
active_weeks_last_year25
How it's scored
27/27Ships releases16 releases published
36/36Release recencylatest release 11 days ago
19.8/27Release cadencea release every ~49 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count16
latest_release_tagv1.3.3
releases_from_tagsno
days_since_latest_release11
mean_days_between_releases49

Community & Adoption

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

77Good · 17% of overall

Popularity & adoption

100Exceptional
How it's scored
60/60Stars101,602 stars
25/25Forks15,268 forks
15/15Watchers645 watchers
Inputs used
forks15,268
stars101,602
watchers645
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_badges4
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

53Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
8.2/22.5Commit distributiontop contributor authored 64% of commits
13.5/13.5Contributor breadth69 contributors
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled69
top_contributor_share0.635
How it's scored
41.1/42Issue resolution98% of issues closed
17.8/30PR acceptance197/332 decided PRs merged
1.9/13Newcomer PR acceptance2/14 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 4/29 approved changesets -- score normalized to 1
Inputs used
merged_prs197
open_issues16
closed_issues745
prs_merged_7d2
prs_decided_7d5
prs_merged_30d8
prs_decided_30d49
issue_closed_ratio0.979
closed_unmerged_prs135
first_time_authors_30d10
first_time_prs_merged_30d2
first_time_prs_decided_30d14
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
24.2/25Owner reach2,307 followers of harry0703
19.3/25Track record9 public repos, account ~13 yr old
Inputs used
followers2,307
owner_typeUser
is_verified
owner_loginharry0703
public_repos9
account_age_days4,780
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

65Good · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
4/20OpenSSF Scorecard: CI-Tests1 out of 4 merged PRs checked by a CI test -- score normalized to 2
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics14 topics
10/10Wiki
Inputs used
topicspython, tiktok, ai-video-generator, content-creation, ffmpeg, instagram-reels, llm, short-video, subtitles, text-to-speech, video-automation, video-workflow, workflow-automation, youtube-shorts
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?

42Weak · 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
0.5/2.5CI-Tests1 out of 4 merged PRs checked by a CI test -- score normalized to 2
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 4/29 approved changesets -- score normalized to 1
0.8/2.5Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
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 18 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
2/5Security-Policysecurity policy file detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities50 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate3.5
How it's scored
14/35Direct dependencies free of known advisories1 affected: python-multipart 0.0.27 (high 7.5)
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
40/40No advisories left outstandingno advisory has been public longer than 90 days
Inputs used
sourceosv
advisories87
affected_packages8
assessed_packages124
unassessed_packages0
affected_by_severitycritical 1, high 5, moderate 2
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 124 resolved dependencies against OSV. 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.

42Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history86 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.887
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environmentDockerfile, lockfile
8/10Demonstrated agent practice4 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
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0.04
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
52.3/55Manageable file sizes4/81 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes168,321
source_files_sampled81
oversized_source_files4
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examplesnotebooks
Inputs used
example_dirsnotebooks
has_mcp_signalno
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

101,602GitHub stars
69contributors
212commits, last 12 months
2days since last push
16releases
1bus factor
16open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 38 authors (cap 12)
  • pypi package 'moneyprinterturbo' points at a different repository (https://github.com/yanjlee/MoneyPrinterTurbo); excluded from ecosystem scoring

More detail

Star and fork history 0 ★ / 15,268 ⇿
0Stars
15,268Forks
1Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

14,20014,40014,60014,80015,00015,20015,40015,2681132026-072026-072026-08
Major 0Minor 0Patch 1
OpenSSF Scorecard 3.5 / 10
3.5aggregate

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 · 2026-08-04 22:25 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
2CI-Tests1 out of 4 merged PRs checked by a CI test -- score normalized to 2
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 4/29 approved changesets -- score normalized to 1
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 18 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
4Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities50 existing vulnerabilities detected
Direct dependencies 21
RegistryPackageVersion constraintManifest
PyPImoviepy==2.2.1pyproject.toml
PyPIstreamlit==1.59.1pyproject.toml
PyPIstreamlit-tour==1.1.0pyproject.toml
PyPIedge-tts==7.2.7pyproject.toml
PyPIfastapi==0.136.3pyproject.toml
PyPIuvicorn==0.32.1pyproject.toml
PyPIopenai==2.24.0pyproject.toml
PyPIfaster-whisper==1.1.0pyproject.toml
PyPIloguru==0.7.3pyproject.toml
PyPIdashscope==1.20.14pyproject.toml
PyPIazure-cognitiveservices-speech==1.41.1pyproject.toml
PyPIredis==5.2.0pyproject.toml
PyPIpython-multipart==0.0.27pyproject.toml
PyPIpyyaml==6.0.3pyproject.toml
PyPIrequests==2.33.1pyproject.toml
PyPIpackaging==24.2pyproject.toml
PyPIsocksio==1.0.0pyproject.toml
PyPIpydub==0.25.1pyproject.toml
PyPIaudioop-lts==0.2.2pyproject.toml
PyPIlitellm==1.86.2pyproject.toml
PyPIgoogle-genai==2.11.0pyproject.toml
All dependencies 124

Full resolved dependency set from the GitHub dependency graph: 21 direct and 103 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaudioop-lts0.2.2direct
PyPIazure-cognitiveservices-speech1.41.1direct
PyPIdashscope1.20.14direct
PyPIedge-tts7.2.7direct
PyPIfastapi0.136.3direct
PyPIfaster-whisper1.1.0direct
PyPIgoogle-genai2.11.0direct
PyPIlitellm1.86.2direct
PyPIloguru0.7.3direct
PyPImoviepy2.2.1direct
PyPIopenai2.24.0direct
PyPIpackaging24.2direct
PyPIpydub0.25.1direct
PyPIpython-multipart0.0.27direct
PyPIpyyaml6.0.3direct
PyPIredis5.2.0direct
PyPIrequests2.33.1direct
PyPIsocksio1.0.0direct
PyPIstreamlit1.59.1direct
PyPIstreamlit-tour1.1.0direct
PyPIuvicorn0.32.1direct
PyPIaiohappyeyeballs2.6.1indirect
PyPIaiohttp3.14.0indirect
PyPIaiosignal1.4.0indirect
PyPIaltair5.5.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIav17.0.0indirect
PyPIblinker1.9.0indirect
PyPIcachetools5.5.2indirect
PyPIcertifi2026.2.25indirect
PyPIcffi2.1.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.1.8indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.15.1indirect
PyPIcryptography49.0.0indirect
PyPIctranslate24.7.1indirect
PyPIdecorator5.2.1indirect
PyPIdistro1.9.0indirect
PyPIfastuuid0.14.0indirect
PyPIfilelock3.25.2indirect
PyPIflatbuffers25.12.19indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.3.0indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.1.50indirect
PyPIgoogle-auth2.55.2indirect
PyPIh110.16.0indirect
PyPIhf-xet1.4.3indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.8.0indirect
PyPIhttpx0.28.1indirect
PyPIhuggingface-hub1.8.0indirect
PyPIidna3.17indirect
PyPIimageio2.37.3indirect
PyPIimageio-ffmpeg0.6.0indirect
PyPIimportlib-metadata8.5.0indirect
PyPIiniconfig2.3.0indirect
PyPIitsdangerous2.2.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.13.0indirect
PyPIjsonschema4.23.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImoneyprinterturbo1.3.3indirect
PyPImpmath1.3.0indirect
PyPImultidict6.7.1indirect
PyPInarwhals2.18.1indirect
PyPInumpy2.4.4indirect
PyPIonnxruntime1.24.4indirect
PyPIpandas2.3.3indirect
PyPIpillow11.3.0indirect
PyPIpluggy1.6.0indirect
PyPIproglog0.1.12indirect
PyPIpropcache0.4.1indirect
PyPIprotobuf5.29.6indirect
PyPIpyarrow23.0.1indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpydeck0.9.1indirect
PyPIpygments2.20.0indirect
PyPIpytest9.1.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpytz2026.1.post1indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.4.4indirect
PyPIrich14.3.3indirect
PyPIrpds-py0.30.0indirect
PyPIruff0.15.21indirect
PyPIsetuptools82.0.1indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsmmap5.0.3indirect
PyPIsniffio1.3.1indirect
PyPIstarlette1.2.1indirect
PyPIsympy1.14.0indirect
PyPItabulate0.10.0indirect
PyPItenacity9.1.4indirect
PyPItiktoken0.12.0indirect
PyPItokenizers0.22.2indirect
PyPItoml0.10.2indirect
PyPItqdm4.67.3indirect
PyPItwelvelabs1.2.8indirect
PyPItyper0.26.5indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.3indirect
PyPIurllib32.7.0indirect
PyPIwatchdog6.0.0indirect
PyPIwebsocket-client1.9.0indirect
PyPIwebsockets16.0indirect
PyPIwin32-setctime1.2.0indirect
PyPIyarl1.23.0indirect
PyPIzipp3.23.1indirect
Dependency advisories 8

This repository publishes no package the index resolves, so its own dependency graph was assessed — 124 packages, which also include development and test pins that never ship: 8 carry known advisories, of which 1 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow11.3.0indirectcritical3612.3.0
python-multipart0.0.27directhigh80.0.31
aiohttp3.14.0indirecthigh223.14.3
click8.1.8indirecthigh18.3.3
gitpython3.1.50indirecthigh123.1.57
starlette1.2.1indirecthigh41.3.1
cryptography49.0.0indirectmoderate250.0.0
setuptools82.0.1indirectmoderate283.0.0

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.

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 v0.31.0 — full methodology · metrics wiki.

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