Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-14 06:57 UTC

thinh-vu / vnstock

A beginner-friendly yet powerful Python toolkit for financial analysis and automation — built to make modern investing accessible to everyone

PythonCustom license★ 1,396 stars⑂ 294 forkssince Feb 2022View on GitHub ↗

thinh-vu/vnstock holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (95/100) and lowest on Security (47/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

Thinh VuPersonal account
299 followers28 public repossince May 2018Vnstock

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
PyPIvnstock4.0.7-6824 days agovnstockfinancevietnamstock-marketanalysisapi

Metrics by category

Vitality

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

84Excellent · 21% of overall
How it's scored
36/36Push recencylast push 1 days ago
16.6/36Commit cadence24/52 weeks with commits
17.8/18Commit volume94 commits in the last year
8/10OpenSSF Scorecard: Maintained8 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 8
Inputs used
commits_last_year94
human_commit_share1
days_since_last_push1
active_weeks_last_year24
How it's scored
27/27Ships releases9 releases published
36/36Release recencylatest release 66 days ago
19.8/27Release cadencea release every ~59.2 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count9
latest_release_tagv4.0.4
releases_from_tagsno
days_since_latest_release66
mean_days_between_releases59.2
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?

64Moderate · 17% of overall
How it's scored
51/60Stars1,396 stars
20.6/25Forks294 forks
9.6/15Watchers54 watchers
Inputs used
forks294
stars1,396
watchers54
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges13
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?

62Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.9/22.5Commit distributiontop contributor authored 96% of commits
13.5/13.5Contributor breadth12 contributors
3/10OpenSSF Scorecard: Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled12
top_contributor_share0.962
How it's scored
42/42Issue resolution100% of issues closed
22.4/30PR acceptance68/91 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs68
open_issues0
closed_issues134
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
closed_unmerged_prs23
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.
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
17.8/25Owner reach299 followers of thinh-vu
22.6/25Track record28 public repos, account ~8 yr old
Inputs used
followers299
owner_typeUser
is_verified
owner_loginthinh-vu
public_repos28
account_age_days3,029
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 24 days ago
20/20Version history68 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesvnstock
ecosystemspypi
any_deprecatedno
min_days_since_publish24

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
16/16Linter config.flake8, pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://vnstocks.com
10/10Repository description
10/10Topics6 topics
10/10Wiki
Inputs used
topicsstock-market, data-extraction, stock-screener, quantitative-finance, quantitative-analysis, quantitative-trading
has_wikiyes
homepagehttps://vnstocks.com
docs_sitehttps://vnstocks.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

47Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
2.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
0/2.5CI-Testsno data
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/30 approved changesets -- score normalized to 0
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
2.2/2.5Licenselicense file detected
6/7.5Maintained8 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 8
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTno SAST tool detected
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
2.2/7.5Vulnerabilities7 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.4
Excluded from scoring (no data or not applicable): CI-Tests, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno 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:vnstock@4.0.7 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? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

64Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://vnstocks.com/llms.txt)
38.9/40Legible commit history73 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://vnstocks.com/llms.txt
legible_history_share0.73
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format config.flake8, pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environmentdevcontainer
0/10Demonstrated agent practiceno agent-authored commits among the last 100
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
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontaineryes
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/143 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes55,284
source_files_sampled143
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files
interfaces_expected_of
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

1,396GitHub stars
12contributors
94commits, last 12 months
1days since last push
9releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'vnstock' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 294 ⇿
0Stars
294Forks
9Releases

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.

05010015020025030029272022-082024-092026-09
Major 0Minor 3Patch 6

Each point covers 4 days.

OpenSSF Scorecard 3.4 / 10
3.4aggregate

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 · 2026-09-14 06:57 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
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
9Licenselicense file detected
8Maintained8 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 8
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
3Vulnerabilities7 existing vulnerabilities detected
Direct dependencies 13
RegistryPackageVersion constraintManifest
PyPIrequestspyproject.toml
PyPIbeautifulsoup4pyproject.toml
PyPIpandaspyproject.toml
PyPIseabornpyproject.toml
PyPIopenpyxlpyproject.toml
PyPIpydanticpyproject.toml
PyPIpsutilpyproject.toml
PyPIpackaging>=20.0pyproject.toml
PyPIimportlib-metadata>=1.0pyproject.toml
PyPItenacitypyproject.toml
PyPIvnai>=2.5.9pyproject.toml
PyPIvnstock_ezchart>=1.0.2pyproject.toml
PyPIpytzpyproject.toml
All dependencies 25

Full resolved dependency set from the GitHub dependency graph: 16 direct and 9 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbeautifulsoup4direct
PyPIimportlib-metadatadirect
PyPIopenpyxldirect
PyPIopenpyxl3.1.2direct
PyPIpackagingdirect
PyPIpandasdirect
PyPIpsutildirect
PyPIpsutil6.0.0direct
PyPIpydanticdirect
PyPIpytzdirect
PyPIrequestsdirect
PyPIseaborndirect
PyPIseaborn0.13.2direct
PyPItenacitydirect
PyPIvnaidirect
PyPIvnstock-ezchartdirect
PyPIbs40.0.2indirect
PyPIcryptography42.0.5indirect
PyPIfake-useragent1.5.1indirect
PyPImkdocs-glightboxindirect
PyPImkdocs-materialindirect
PyPImkdocs-rss-pluginindirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIsetuptoolsindirect
Dependency advisories 0

Installing pypi:vnstock@4.0.7 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

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 v0.34.0 — full methodology · metrics wiki.

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