Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 20:48 UTC

apache / libcloud

Apache Libcloud is a Python library that hides differences between different cloud provider APIs and allows you to manage different cloud resources through a unified and easy-to-use API.

PythonApache-2.0★ 2,124 stars⑂ 931 forkssince Dec 2009View on GitHub ↗
KindLibraryCommand-line toolhow this is determined
#python#libcloud#cloud#library#apache

apache/libcloud holds a health index of 95 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (72/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

95
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.

95
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 82 is calibrated to 95 on the published index scale (record calibration 2026-08-02).

Ownership

The Apache Software FoundationOrganization · verified domain
24,267 followers3,172 public repossince Jan 2009

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIapache-libcloud3.9.1727,27572149 days agocloudlibcloudapacheawsec2

Metrics by category

Vitality

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

72Good · 21% of overall

Development activity

79Good
How it's scored
36/36Push recency — last push 3 days ago
15.2/36Commit cadence — 22/52 weeks with commits
18/18Commit volume — 259 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year259
human_commit_share0.93
days_since_last_push3
active_weeks_last_year22

Release discipline

62Moderate
How it's scored
16.2/27Ships releases — 84 version tags (no GitHub releases)
27/36Release recency — latest release 154 days ago
12.6/27Release cadence — a release every ~180.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count84
latest_release_tagv3.9.1
releases_from_tagsyes
days_since_latest_release154
mean_days_between_releases180.1
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?

92Excellent · 17% of overall

Popularity & adoption

89Excellent
How it's scored
54/60Stars — 2,124 stars
24.7/25Forks — 931 forks
10.5/15Watchers — 79 watchers
Inputs used
forks931
stars2,124
watchers79
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
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_badges15
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbestpractices.coreinfrastructure.org, github.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

98Exceptional
How it's scored
78.2/80Monthly downloads — 727,275 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesapache-libcloud
dependents—
ecosystemspypi
total_downloads—
monthly_downloads727,275
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?

74Good · 23% of overall

Maintainer resilience (bus factor)

43Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
10.4/22.5Commit distribution — top contributor authored 54% of commits
13.5/13.5Contributor breadth — 99 contributors
10/10OpenSSF Scorecard: Contributors — project has 71 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled99
top_contributor_share0.538

Issue & PR responsiveness

65Good
How it's scored
27.3/42Issue resolution — 65% of issues closed
9.6/30PR acceptance — 619/1,944 decided PRs merged
13/13Newcomer PR acceptance — 4/4 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs619
open_issues80
closed_issues148
prs_merged_7d0
prs_decided_7d0
prs_merged_30d8
prs_decided_30d8
issue_closed_ratio0.649
closed_unmerged_prs1,325
first_time_authors_30d2
first_time_prs_merged_30d4
first_time_prs_decided_30d4

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 24,267 followers of apache
25/25Track record — 3,172 public repos, account ~17 yr old
Inputs used
followers24,267
owner_typeOrganization
is_verifiedyes
owner_loginapache
public_repos3,172
account_age_days6,452

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 149 days ago
20/20Version history — 72 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesapache-libcloud
ecosystemspypi
any_deprecatedno
min_days_since_publish149

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — .flake8, pyproject.toml ([tool.pylint], [tool.black], [tool.isort]), tox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 9 out of 9 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://libcloud.apache.org
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicspython, libcloud, cloud, library, apache
has_wikino
homepagehttps://libcloud.apache.org
docs_sitehttps://libcloud.apache.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

83Excellent · 16% of overall

Security posture

79Good
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 — 9 out of 9 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 71 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
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
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 — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 11 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate7.9
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. 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_packages5
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:apache-libcloud@3.9.1 runtime dependency closure — what installing the published package pulls in — 5 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.

72Good · 4% of overall

Agent context & guidance

25At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
25.2/40Legible commit history — 44 of 93 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.473
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

94Exceptional
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — .flake8, pyproject.toml ([tool.pylint], [tool.black], [tool.isort]), tox.ini
11/11Static type checking — libcloud/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 5 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 7 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
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configslibcloud/py.typed
agent_commit_share0.05
toolchain_manifests—
dependency_bot_commit_share0.07

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (libcloud/py.typed)
52.9/55Manageable file sizes — 27/693 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes1,079,712
source_files_sampled693
oversized_source_files27

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 — demos, examples
Inputs used
example_dirsdemos, examples
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

2,124GitHub stars
99contributors
259commits, last 12 months
3days since last push
84releases
1bus factor
80open 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 ★ / 931 ⇿
0Stars
931Forks
84Releases

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.

02004006008001,000865172010-012018-052026-09
Major 3Minor 43Patch 33

Each point covers 16 days.

OpenSSF Scorecard 7.9 / 10
7.9aggregate

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 · 2026-09-17 20:47 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-Tests9 out of 9 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 71 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 1 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities11 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIrequests>=2.26.0pyproject.toml
All dependencies 139

Full resolved dependency set from the GitHub dependency graph: 1 direct and 138 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIrequests2.33.1direct
PyPIalabaster0.7.16indirect
PyPIannotated-types0.7.0indirect
PyPIastroid3.3.8indirect
PyPIazure-common1.1.28indirect
PyPIazure-core1.38.0indirect
PyPIazure-identity1.25.1indirect
PyPIazure-mgmt-core1.6.0indirect
PyPIazure-mgmt-resource24.0.0indirect
PyPIazure-mgmt-storage24.0.0indirect
PyPIbabel2.17.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbandit1.9.3indirect
PyPIbcrypt5.0.0indirect
PyPIblack26.3.1indirect
PyPIboto31.42.30indirect
PyPIbotocore1.42.30indirect
PyPIbottle0.13.4indirect
PyPIbuild1.2.2indirect
PyPIcachetools6.2.4indirect
PyPIcertifi2026.1.4indirect
PyPIcffi2.0.0indirect
PyPIchardet5.2.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.4.2indirect
PyPIcodespell2.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.2.7indirect
PyPIcryptography46.0.7indirect
PyPIcryptography50.0.0indirect
PyPIdill0.4.0indirect
PyPIdistlib0.4.0indirect
PyPIdocker7.1.0indirect
PyPIdocutils0.19indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfasteners0.20indirect
PyPIfilelock3.20.3indirect
PyPIflake85.0.4indirect
PyPIidna3.18indirect
PyPIimagesize1.4.1indirect
PyPIimportlib-metadata8.7.1indirect
PyPIiniconfig2.3.0indirect
PyPIinvoke3.0.3indirect
PyPIisodate0.7.2indirect
PyPIisort6.0.1indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.0indirect
PyPIjaraco-functools4.4.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjmespath1.0.1indirect
PyPIkeyring25.7.0indirect
PyPIlibvirt-python12.0.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools10.8.0indirect
PyPImsal1.37.0indirect
PyPImsal-extensions1.3.1indirect
PyPImsrest0.7.1indirect
PyPImypy1.15.0indirect
PyPImypy-extensions1.1.0indirect
PyPInh30.3.2indirect
PyPIoauthlib3.3.1indirect
PyPIpackaging25.0indirect
PyPIparamiko5.0.0indirect
PyPIpathspec1.0.3indirect
PyPIpep81.7.1indirect
PyPIpkginfo1.10.0indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIprek0.3.0indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpycodestyle2.9.1indirect
PyPIpycparser2.23indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpyflakes2.5.0indirect
PyPIpygal3.1.0indirect
PyPIpygaljs1.0.2indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.10.1indirect
PyPIpylint3.3.4indirect
PyPIpynacl1.6.2indirect
PyPIpyopenssl26.0.0indirect
PyPIpyopenssl26.4.0indirect
PyPIpyproject-api1.10.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-benchmark5.1.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.6.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytokens0.4.1indirect
PyPIpyupgrade3.3.1indirect
PyPIpywin32311indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer43.0indirect
PyPIrequests-mock1.12.1indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich14.2.0indirect
PyPIrstcheck6.2.5indirect
PyPIrstcheck-core1.2.2indirect
PyPIs3transfer0.16.0indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools83.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsphinx6.2.1indirect
PyPIsphinx-rtd-theme2.0.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstevedore5.6.0indirect
PyPItokenize-rt6.2.0indirect
PyPItomli2.4.0indirect
PyPItomlkit0.14.0indirect
PyPItox4.24.1indirect
PyPItwine5.1.1indirect
PyPItyper0.21.1indirect
PyPItypes-certifi2021.10.8.3indirect
PyPItypes-requests2.32.4.20260107indirect
PyPItypes-simplejson3.20.0.20250822indirect
PyPItypes-urllib31.26.25.14indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv20.36.1indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:apache-libcloud@3.9.1 pulls in 5 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

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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.