Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 19:15 UTC

Azure / azure-storage-python

Microsoft Azure Storage Library for Python

PythonMIT★ 343 stars⑂ 244 forkssince Jul 2015View on GitHub ↗

Azure/azure-storage-python holds a health index of 34 out of 100, placing it in the At Risk band. It scores highest on Community & Adoption (86/100) and lowest on Vitality (25/100). It was last updated 748 days ago. 2 contributors account for most of its recent work.

34
overall / 100
At Risk

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.

34
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 55 is calibrated to 57 on the published index scale (record calibration 2026-08-02).

Ownership

Microsoft AzureOrganization · verified domain
15,237 followers2,731 public repossince Mar 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIazure-storage-blobpoints to another repo — not scored12.30.1136,755,837910 days agoazureazure-sdk
PyPIazure-storage-file2.1.02,597,593142582 days ago
PyPIazure-storage-nspkg3.1.0794,70232847 days ago
PyPIazure-storage-queuepoints to another repo — not scored12.17.033,492,2645680 days agoazureazure-sdk
PyPIazure-storage-common2.1.010,599,971112582 days ago

Metrics by category

Vitality

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

25At Risk · 21% of overall
How it's scored
0/36Push recencylast push 748 days ago
0/36Commit cadence0/52 weeks with commits
0/18Commit volume0 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year0
human_commit_share0.98
days_since_last_push748
active_weeks_last_year0
How it's scored
27/27Ships releases59 releases published
0/36Release recencylatest release 2,582 days ago
27/27Release cadencea release every ~9.5 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count59
latest_release_tagv2.1.0-blob
releases_from_tagsno
days_since_latest_release2,582
mean_days_between_releases9.5
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
How it's scored
41.1/60Stars343 stars
19.9/25Forks244 forks
9/15Watchers43 watchers
Inputs used
forks244
stars343
watchers43
growth_stateorganic
growth_factor_pct100

Community health

93Exceptional
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
7.2/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingyes
has_issue_templateyes
has_code_of_conductyes
readme_badge_servicesshields.io, travis-ci.org
has_pull_request_templateno
How it's scored
80/80Monthly downloads13,992,266 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesazure-storage-file, azure-storage-nspkg, azure-storage-common
dependents
ecosystemspypi
total_downloads
monthly_downloads13,992,266
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?

77Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
12.8/22.5Commit distributiontop contributor authored 43% of commits
13.5/13.5Contributor breadth36 contributors
10/10OpenSSF Scorecard: Contributorsproject has 4 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled36
top_contributor_share0.429
How it's scored
33.6/42Issue resolution80% of issues closed
26/30PR acceptance280/323 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
7.5/15OpenSSF Scorecard: Code-ReviewFound 6/11 approved changesets -- score normalized to 5
Inputs used
merged_prs280
open_issues78
closed_issues310
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.799
closed_unmerged_prs43
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
30/30Ownership backingorganization-owned
20/20Verified domain
25/25Owner reach15,237 followers of Azure
25/25Track record2,731 public repos, account ~12 yr old
Inputs used
followers15,237
owner_typeOrganization
is_verifiedyes
owner_loginAzure
public_repos2,731
account_age_days4,559
How it's scored
25/25Published & resolvable3 package(s) on pypi
4/35Publish recencylatest publish 2,582 days ago
20/20Version history14 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesazure-storage-file, azure-storage-nspkg, azure-storage-common
ecosystemspypi
any_deprecatedno
min_days_since_publish2,582

Engineering Quality

Are baseline engineering and documentation practices in place?

50Moderate · 19% of overall
How it's scored
0/24CI workflows
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests0 out of 9 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://azure-storage.readthedocs.io
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepagehttps://azure-storage.readthedocs.io
docs_sitehttps://azure-storage.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

37Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
4.5/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
0/2.5CI-Tests0 out of 9 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-ReviewFound 6/11 approved changesets -- score normalized to 5
2.5/2.5Contributorsproject has 4 contributing companies or organizations
0/10Dangerous-Workflowno data
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
0/7.5Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packagingno data
0/5Pinned-Dependenciesno data
0/5SASTSAST tool is not run on all commits -- score normalized to 0
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsno data
0/7.5Vulnerabilities14 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate3.7
Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Pinned-Dependencies, Signed-Releases, Token-Permissions. Remaining weights renormalized.

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.

47Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
20.1/40Legible commit history37 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.378
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdoc/Makefile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.
How it's scored
0/45Type-checkable codePython without a type-check config
52.9/55Manageable file sizes5/130 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes188,076
source_files_sampled130
oversized_source_files5
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 examplessamples
Inputs used
example_dirssamples
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

343GitHub stars
36contributors
0commits, last 12 months
748days since last push
59releases
2bus factor
78open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-06-22: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 343 stars today.
  • pypi package 'azure-storage-blob' points at a different repository (https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/storage/azure-storage-blob); excluded from ecosystem scoring
  • pypi package 'azure-storage-queue' points at a different repository (https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/storage/azure-storage-queue); excluded from ecosystem scoring
  • deps.dev does not index pypi:azure-storage-blob@12.30.1; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

More detail

Star and fork history 342 ★ / 244 ⇿
342Stars
244Forks
59Releases

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.

Star history is shown as collected on 2026-06-22. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

012525037534223862015-082021-022026-08
Major 0Minor 8Patch 7

Each point covers 11 days.

OpenSSF Scorecard 3.7 / 10
3.7aggregate

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 · 2026-08-27 19:15 UTC

10Binary-Artifactsno binaries found in the repo
6Branch-Protectionbranch protection is not maximal on development and all release branches
0CI-Tests0 out of 9 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 6/11 approved changesets -- score normalized to 5
10Contributorsproject has 4 contributing companies or organizations
n/aDangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
0Vulnerabilities14 existing vulnerabilities detected
All dependencies 10

Full resolved dependency set from the GitHub dependency graph: 0 direct and 10 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIadalindirect
PyPIazure-commonindirect
PyPIazure-nspkgindirect
PyPIazure-storage-commonindirect
PyPIcryptographyindirect
PyPIfuturesindirect
PyPIpython-dateutilindirect
PyPIrequestsindirect
PyPIsphinxindirect
PyPIvcrpyindirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

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.