Public record
Software health reportschema 0.31.0 · metrics 2.7.0 · 2026-08-12 23:22 UTC

vyperlang / vyper

Pythonic Smart Contract Language for the EVM

PythonCustom license★ 5,178 stars⑂ 915 forkssince Nov 2016View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

vyperlang/vyper holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (90/100) and lowest on AI Readiness (68/100). It was last updated today. 3 contributors account for most of its recent work.

96
overall / 100
Exceptional

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.

96
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 83 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

vyperlangOrganization
273 followers35 public repossince Oct 2019

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIvyper0.4.3-77420 days agoethereumevmsmartcontractlanguage

Metrics by category

Vitality

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

90Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
31.2/36Commit cadence — 45/52 weeks with commits
18/18Commit volume — 194 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year194
human_commit_share0.94
days_since_last_push0
active_weeks_last_year45
How it's scored
27/27Ships releases — 63 releases published
36/36Release recency — latest release 59 days ago
19.8/27Release cadence — a release every ~53.1 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count63
latest_release_tagv0.5.0a3
releases_from_tagsno
days_since_latest_release59
mean_days_between_releases53.1

Community & Adoption

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

85Excellent · 17% of overall
How it's scored
60/60Stars — 5,178 stars
24.7/25Forks — 915 forks
12/15Watchers — 148 watchers
Inputs used
forks915
stars5,178
watchers148
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges9
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadge.fury.io, codecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

77Good · 23% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
17.5/22.5Commit distribution — top contributor authored 22% of commits
13.5/13.5Contributor breadth — 98 contributors
10/10OpenSSF Scorecard: Contributors — project has 31 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled98
top_contributor_share0.224
How it's scored
30.1/42Issue resolution — 72% of issues closed
26.1/30PR acceptance — 2,412/2,770 decided PRs merged
9.8/13Newcomer PR acceptance — 3/4 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs2,412
open_issues559
closed_issues1,412
prs_merged_7d1
prs_decided_7d3
prs_merged_30d15
prs_decided_30d19
issue_closed_ratio0.716
closed_unmerged_prs358
first_time_authors_30d4
first_time_prs_merged_30d3
first_time_prs_decided_30d4
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
17.5/25Owner reach — 273 followers of vyperlang
23.3/25Track record — 35 public repos, account ~6 yr old
Inputs used
followers273
owner_typeOrganization
is_verified
owner_loginvyperlang
public_repos35
account_age_days2,479
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
14/35Publish recency — latest publish 420 days ago
20/20Version history — 77 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesvyper
ecosystemspypi
any_deprecatedno
min_days_since_publish420

Engineering Quality

Are baseline engineering and documentation practices in place?

81Excellent · 19% of overall
How it's scored
24/24CI workflows — 10 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://vyperlang.org
10/10Repository description
10/10Topics — 5 topics
10/10Wiki
Inputs used
topicsvyper, language, python, ethereum, ethereum-dapp
has_wikiyes
homepagehttps://vyperlang.org
docs_sitehttps://vyperlang.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

85Excellent · 16% of overall

Security posture

81Excellent
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 — 30 out of 30 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 31 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate8.1
Excluded from scoring (no data or not applicable): branch_protection. Remaining weights renormalized.

Dependency advisories

100Exceptional
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_packages7
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:vyper@0.4.3 runtime dependency closure — what installing the published package pulls in — 7 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.

68Good · 4% of overall
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 94 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share1
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes1,243
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile
8/10Demonstrated agent practice — 4 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 4 of the last 100 commits are automated dependency updates
4/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0.04
toolchain_manifests
dependency_bot_commit_share0.04
How it's scored
0/45Type-checkable code — Python without a type-check config
54.4/55Manageable file sizes — 7/623 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes90,413
source_files_sampled623
oversized_source_files7
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

5,178GitHub stars
98contributors
194commits, last 12 months
0days since last push
63releases
3bus factor
559open 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 ★ / 915 ⇿
0Stars
915Forks
63Releases

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.

02004006008001,000885142016-112021-092026-08
Major 0Minor 3Patch 29

Each point covers 9 days.

OpenSSF Scorecard 8.1 / 10
8.1aggregate

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 · 2026-08-12 23:21 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-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 31 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 20 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIcbor2>=5.4.6,<6pyproject.toml
PyPIpycryptodome>=3.5.1,<4pyproject.toml
PyPIpackaging>=23.1pyproject.toml
PyPIlark>=1.0.0,<2pyproject.toml
PyPIwheelpyproject.toml
PyPIimmutablespyproject.toml
All dependencies 29

Full resolved dependency set from the GitHub dependency graph: 4 direct and 25 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcbor2direct
PyPIlark1.1.9direct
PyPIpackagingdirect
PyPIpycryptodomedirect
PyPIblack26.3.1indirect
PyPIeth-abiindirect
PyPIeth-account0.12.2indirect
PyPIeth-stdlib0.2.7indirect
PyPIflake86.1.0indirect
PyPIflake8-bugbear23.12.2indirect
PyPIflake8-use-fstring1.4indirect
PyPIhexbytesindirect
PyPIhypothesisindirect
PyPIisort5.13.2indirect
PyPImypy1.19indirect
PyPIpy-evmindirect
PyPIpygments2.18.0indirect
PyPIpyrevmindirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIpytest-instafailindirect
PyPIpytest-splitindirect
PyPIpytest-xdistindirect
PyPIsetuptoolsindirect
PyPIsetuptools-scmindirect
PyPIshibuya2024.1.17indirect
PyPIsphinx7.2.6indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-reredirects0.1.5indirect
Dependency advisories 0

Installing pypi:vyper@0.4.3 pulls in 7 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

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 v2.7.0, schema v0.31.0 — full methodology · metrics wiki.

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