Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 16:56 UTC

pyinfra-dev / pyinfra

🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.

PythonMIT★ 6,005 stars⑂ 548 forkssince Oct 2014View on GitHub ↗
KindCommand-line toolPluginLibraryhow this is determined
#python#cloud-management#configuration-management#remote-execution#high-performance#pyinfra#infrastructure

pyinfra-dev/pyinfra holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Vitality (94/100) and lowest on Security (54/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

92
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.

92
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 78 is calibrated to 92 on the published index scale (record calibration 2026-08-02).

Ownership

pyinfraOrganization
83 followers12 public repossince Oct 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpyinfra3.10.0185,87623553 days ago

Metrics by category

Vitality

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

94Exceptional · 21% of overall

Development activity

90Excellent
How it's scored
36/36Push recency — last push 1 days ago
26.3/36Commit cadence — 38/52 weeks with commits
18/18Commit volume — 298 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year298
human_commit_share1
days_since_last_push1
active_weeks_last_year38

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 53 days ago
27/27Release cadence — a release every ~36.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv3.10.0
releases_from_tagsno
days_since_latest_release53
mean_days_between_releases36.4
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?

86Excellent · 17% of overall

Popularity & adoption

92Excellent
How it's scored
60/60Stars — 6,005 stars
22.8/25Forks — 548 forks
8.8/15Watchers — 39 watchers
Inputs used
forks548
stars6,005
watchers39
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

88Excellent
How it's scored
70.3/80Monthly downloads — 185,876 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespyinfra
dependents—
ecosystemspypi
total_downloads—
monthly_downloads185,876
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?

67Good · 23% of overall

Maintainer resilience (bus factor)

37Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4.3/22.5Commit distribution — top contributor authored 81% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 40 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled100
top_contributor_share0.811

Issue & PR responsiveness

85Excellent
How it's scored
36.8/42Issue resolution — 88% of issues closed
25.9/30PR acceptance — 724/838 decided PRs merged
8.7/13Newcomer PR acceptance — 4/6 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 28/30 approved changesets -- score normalized to 9
Inputs used
merged_prs724
open_issues124
closed_issues872
prs_merged_7d11
prs_decided_7d14
prs_merged_30d25
prs_decided_30d32
issue_closed_ratio0.876
closed_unmerged_prs114
first_time_authors_30d6
first_time_prs_merged_30d4
first_time_prs_decided_30d6

Ownership & stewardship

58Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
13.8/25Owner reach — 83 followers of pyinfra-dev
14/25Track record — 12 public repos, account ~2 yr old
Inputs used
followers83
owner_typeOrganization
is_verifiedno
owner_loginpyinfra-dev
public_repos12
account_age_days1,084

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 53 days ago
20/20Version history — 235 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespyinfra
ecosystemspypi
any_deprecatedno
min_days_since_publish53

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

90Excellent
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 28 out of 28 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pyinfra.com
10/10Repository description
10/10Topics — 7 topics
0/10Wiki
Inputs used
topicspython, cloud-management, configuration-management, remote-execution, high-performance, pyinfra, infrastructure
has_wikino
homepagehttps://pyinfra.com
docs_sitehttps://pyinfra.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

54Moderate · 16% of overall

Security posture

46Weak
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 — 28 out of 28 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
6.8/7.5Code-Review — Found 28/30 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 40 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 15 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.6
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

87Excellent
How it's scored
25.5/35Direct dependencies free of known advisories — 1 affected: paramiko 4.0.0 (low 3.4)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
36.9/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 136 days ago
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages25
unassessed_packages0
affected_by_severitylow 1
direct_affected_packages1
Matched the pypi:pyinfra@3.10.0 runtime dependency closure — what installing the published package pulls in — 25 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.

74Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 96 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.96
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes8,178

Verify loop (build / test / typecheck)

54Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/pyinfra/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configssrc/pyinfra/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/pyinfra/py.typed)
54.8/55Manageable file sizes — 1/249 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes81,803
source_files_sampled249
oversized_source_files1

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
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

6,005GitHub stars
100contributors
298commits, last 12 months
1days since last push
100releases
1bus factor
124open 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 19 authors (cap 12)

More detail

Star and fork history 0 ★ / 548 ⇿
0Stars
548Forks
100Releases

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.

0100200300400500600548712015-122021-052026-09
Major 0Minor 3Patch 65

Each point covers 10 days.

OpenSSF Scorecard 4.6 / 10
4.6aggregate

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 · 2026-09-19 16:56 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-Tests28 out of 28 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 28/30 approved changesets -- score normalized to 9
10Contributorsproject has 40 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities15 existing vulnerabilities detected
Direct dependencies 12
RegistryPackageVersion constraintManifest
PyPIgevent>=1.5pyproject.toml
PyPIparamiko>=2.11,<6pyproject.toml
PyPIclick>2pyproject.toml
PyPIcyclopts>=4,<5pyproject.toml
PyPIjinja2>3,<4pyproject.toml
PyPIpython-dateutil>2,<3pyproject.toml
PyPItypeguard>=4,<5pyproject.toml
PyPIdistro>=1.6,<2pyproject.toml
PyPIpackaging>=16.1pyproject.toml
PyPIpydantic>=2.11,<3pyproject.toml
PyPItyping-extensions—pyproject.toml
PyPItypes-paramiko>=2.7,<6pyproject.toml
All dependencies 114

Full resolved dependency set from the GitHub dependency graph: 17 direct and 97 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclick6.7direct
PyPIclick8.3.0direct
PyPIcyclopts4.22.2direct
PyPIdistro1.9.0direct
PyPIgevent1.2.2direct
PyPIgevent25.9.1direct
PyPIjinja22.10direct
PyPIjinja23.1.6direct
PyPIpackaging25.0direct
PyPIparamiko2.4.0direct
PyPIparamiko3.5.1direct
PyPIpydantic2.12.2direct
PyPIpython-dateutil2.6.1direct
PyPIpython-dateutil2.9.0.post0direct
PyPItypeguard4.4.4direct
PyPItypes-paramiko3.5.0.20250801direct
PyPItyping-extensions4.15.0direct
PyPIannotated-types0.7.0indirect
PyPIasn1crypto0.23.0indirect
PyPIasttokens3.0.0indirect
PyPIattrs26.1.0indirect
PyPIbcrypt3.1.4indirect
PyPIbcrypt5.0.0indirect
PyPIcertifi2026.5.20indirect
PyPIcffi1.11.2indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIcolorama0.3.9indirect
PyPIcolorama0.4.6indirect
PyPIcoverage4.4.1indirect
PyPIcoverage7.10.7indirect
PyPIcryptography2.1.4indirect
PyPIcryptography46.0.2indirect
PyPIdecorator5.2.1indirect
PyPIdeepmerge2.0indirect
PyPIdocopt0.6.2indirect
PyPIdocstring-parser0.18.0indirect
PyPIexceptiongroup1.3.0indirect
PyPIexecuting2.2.1indirect
PyPIfreezegun1.5.5indirect
PyPIghp-import2.1.0indirect
PyPIgreenlet0.4.12indirect
PyPIgreenlet3.2.4indirect
PyPIgriffelib2.0.2indirect
PyPIidna2.6indirect
PyPIidna3.18indirect
PyPIiniconfig2.1.0indirect
PyPIipdb0.13.13indirect
PyPIipdbplugin1.5.0indirect
PyPIipython8.37.0indirect
PyPIipython9.6.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.19.2indirect
PyPIjsontest1.3indirect
PyPImarkdown3.10.2indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe1.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.1.7indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocstrings1.0.4indirect
PyPImkdocstrings-python2.0.3indirect
PyPImock1.3.0indirect
PyPImypy1.17.1indirect
PyPImypy-extensions1.1.0indirect
PyPInose1.3.7indirect
PyPIparso0.8.5indirect
PyPIpathspec1.1.1indirect
PyPIpbr3.1.1indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.9.6indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpyasn10.4.2indirect
PyPIpycparser2.18indirect
PyPIpycparser2.23indirect
PyPIpydantic-core2.41.4indirect
PyPIpygments2.20.0indirect
PyPIpyinfra-testing0.2.1indirect
PyPIpymdown-extensions10.21.2indirect
PyPIpynacl1.2.1indirect
PyPIpynacl1.6.0indirect
PyPIpytest8.4.2indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-testinfra10.2.2indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIrich-rst2.1.0indirect
PyPIruff0.14.0indirect
PyPIsetuptools80.9.0indirect
PyPIsix1.11.0indirect
PyPIsix1.17.0indirect
PyPIstack-data0.6.3indirect
PyPItomli2.4.1indirect
PyPItraitlets5.14.3indirect
PyPItypes-cryptography3.3.23.2indirect
PyPItypes-python-dateutil2.9.0.20251008indirect
PyPItypes-pyyaml6.0.12.20250915indirect
PyPItyping-inspection0.4.2indirect
PyPItypos1.38.1indirect
PyPIurllib32.7.0indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.2.14indirect
PyPIzensical0.0.34indirect
PyPIzope-event6.0indirect
PyPIzope-interface8.0.1indirect
Dependency advisories 1

Installing pypi:pyinfra@3.10.0 pulls in 25 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
paramiko4.0.0directlow2—

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.