Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-05 03:14 UTC

HKUDS / Vibe-Trading

"Vibe-Trading: Your Personal Trading Agent"

PythonMIT★ 29,650 stars⑂ 4,784 forkssince Apr 2026View on GitHub ↗
KindCommand-line toolNetwork serviceMCP serverWeb interfacehow this is determined

HKUDS/Vibe-Trading holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (90/100) and lowest on AI Readiness (51/100). It was last updated today. A single contributor accounts for most of its recent work.

91
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

12,920 followers91 public repossince Nov 2022

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIvibe-trading-ai0.1.1231,3241313 days agofinancetradingbacktestingagentswarmquantitative

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 0 days ago
12.5/36Commit cadence18/52 weeks with commits
18/18Commit volume1,170 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,170
human_commit_share0.96
days_since_last_push0
active_weeks_last_year18
How it's scored
27/27Ships releases9 releases published
36/36Release recencylatest release 13 days ago
27/27Release cadencea release every ~12.8 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count9
latest_release_tagv0.1.12
releases_from_tagsno
days_since_latest_release13
mean_days_between_releases12.8

Community & Adoption

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

90Excellent · 17% of overall
How it's scored
60/60Stars29,650 stars
25/25Forks4,784 forks
12.3/15Watchers164 watchers
Inputs used
forks4,784
stars29,650
watchers164
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes
How it's scored
59.9/80Monthly downloads31,324 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesvibe-trading-ai
dependents
ecosystemspypi
total_downloads
monthly_downloads31,324
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?

73Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
10.7/22.5Commit distributiontop contributor authored 52% of commits
13.5/13.5Contributor breadth99 contributors
10/10OpenSSF Scorecard: Contributorsproject has 7 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled99
top_contributor_share0.523
How it's scored
40/42Issue resolution95% of issues closed
20.4/30PR acceptance445/655 decided PRs merged
3.5/13Newcomer PR acceptance3/11 first-time contributors' PRs merged in 30d
4.5/15OpenSSF Scorecard: Code-ReviewFound 10/27 approved changesets -- score normalized to 3
Inputs used
merged_prs445
open_issues13
closed_issues257
prs_merged_7d22
prs_decided_7d57
prs_merged_30d22
prs_decided_30d57
issue_closed_ratio0.952
closed_unmerged_prs210
first_time_authors_30d8
first_time_prs_merged_30d3
first_time_prs_decided_30d11
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
25/25Owner reach12,920 followers of HKUDS
20.4/25Track record91 public repos, account ~3 yr old
Inputs used
followers12,920
owner_typeOrganization
is_verified
owner_loginHKUDS
public_repos91
account_age_days1,359
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 13 days ago
20/20Version history13 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesvibe-trading-ai
ecosystemspypi
any_deprecatedno
min_days_since_publish13

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://vibetrading.wiki/
10/10Repository description
10/10Topics10 topics
10/10Wiki
Inputs used
topicsbacktesting, multi-agent, quantitative-finance, trading, ai-agent, algorithmic-trading, fintech, llm, mcp, python
has_wikiyes
homepagehttps://vibetrading.wiki/
docs_sitehttps://vibetrading.wiki/
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-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
2.5/2.5CI-Tests13 out of 13 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2.2/7.5Code-ReviewFound 10/27 approved changesets -- score normalized to 3
2.5/2.5Contributorsproject has 7 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
3.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
0/5SASTSAST tool is not run on all commits -- score normalized to 0
5/5Security-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
0/7.5Vulnerabilities17 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): Packaging. Remaining weights renormalized.
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
11.7/25Indirect dependencies free of known advisories2 affected: aiohttp 3.14.1 (moderate 5.3), cryptography 49.0.0 (moderate 5.9)
40/40No advisories left outstandingno advisory has been public longer than 90 days
Inputs used
sourceosv
advisories8
affected_packages2
assessed_packages182
unassessed_packages0
affected_by_severitymoderate 2
direct_affected_packages0
Matched the pypi:vibe-trading-ai@0.1.12 runtime dependency closure — what installing the published package pulls in — 182 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

51Moderate · 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 history96 of 96 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share1
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checkingfrontend/src/i18n/locales/tsconfig.json, frontend/tsconfig.json
10/10Reproducible environmentdevcontainer, Dockerfile, lockfile
2/10Demonstrated agent practice1 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance4 of the last 100 commits are automated dependency updates
7/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontaineryes
has_linter_configno
typecheck_configsfrontend/src/i18n/locales/tsconfig.json, frontend/tsconfig.json
agent_commit_share0.01
toolchain_manifests
dependency_bot_commit_share0.04
How it's scored
27/45Type-checkable codePython with type-check config (frontend/src/i18n/locales/tsconfig.json, frontend/tsconfig.json)
54.7/55Manageable file sizes9/1,497 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes231,745
source_files_sampled1,497
oversized_source_files9
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs
has_mcp_signalyes
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

29,650GitHub stars
99contributors
1,170commits, last 12 months
0days since last push
9releases
1bus factor
13open issues
npm, 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 23 authors (cap 12)

More detail

Star and fork history 0 ★ / 4,784 ⇿
0Stars
4,784Forks
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.

3,6004,0004,4004,8004,784992026-072026-072026-08
Major 0Minor 0Patch 1
OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-08-05 03:13 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
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
3Code-ReviewFound 10/27 approved changesets -- score normalized to 3
10Contributorsproject has 7 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities17 existing vulnerabilities detected
Direct dependencies 62
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All dependencies 676

Full resolved dependency set from the GitHub dependency graph: 104 direct and 572 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIgriffelib2.1.0indirect
PyPIh110.16.0indirect
PyPIh24.4.0indirect
PyPIhpack4.2.0indirect
PyPIhtml5lib1.1indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.8.0indirect
PyPIhttpx-sse0.4.3indirect
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PyPIib-asyncindirect
PyPIidna3.18indirect
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PyPIjiter0.16.0indirect
PyPIjoserfc1.7.4indirect
PyPIjsonpatch1.33indirect
PyPIjsonpath0.82.2indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.5.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIkiwisolver1.5.0indirect
PyPIlangchain-anthropicindirect
PyPIlangchain-deepseekindirect
PyPIlangchain-protocol0.0.18indirect
PyPIlanggraph-prebuilt1.1.0indirect
PyPIlanggraph-sdk0.4.2indirect
PyPIlangsmith0.10.12indirect
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PyPIllvmlite0.48.0indirect
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PyPIlxml6.1.1indirect
PyPImarkdown-it-py4.2.0indirect
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PyPIpackaging26.2indirect
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PyPIpython-telegram-botindirect
PyPIpytz2026.3.post1indirect
PyPIqq-botpyindirect
PyPIqrcodeindirect
PyPIreferencing0.37.0indirect
PyPIregex2026.7.19indirect
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PyPIuncalled-for0.3.2indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.17.0indirect
PyPIuvloop0.22.1indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwecom-aibot-sdkindirect
PyPIxlrd2.0.2indirect
PyPIxlsxwriter3.2.9indirect
PyPIxxhash3.8.1indirect
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Dependency advisories 2

Installing pypi:vibe-trading-ai@0.1.12 pulls in 182 packages, direct and transitive: 2 carry known advisories, of which 0 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
aiohttp3.14.1indirectmoderate63.14.3
cryptography49.0.0indirectmoderate250.0.0

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.