Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 16:32 UTC

microsoftgraph / msgraph-sdk-python

PythonMIT★ 627 stars⑂ 93 forkssince Sep 2022View on GitHub ↗

microsoftgraph/msgraph-sdk-python holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Vitality (92/100) and lowest on AI Readiness (52/100). It was last updated 6 days ago. 2 contributors account 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

Microsoft GraphOrganization
1,444 followers236 public repossince Feb 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImsgraph-sdk1.61.07,331,3637821 days agomsgraphopenapimicrosoftgraph

Metrics by category

Vitality

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

92Excellent · 21% of overall
How it's scored
36/36Push recencylast push 6 days ago
21.5/36Commit cadence31/52 weeks with commits
18/18Commit volume123 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year123
human_commit_share0.65
days_since_last_push6
active_weeks_last_year31

Release discipline

100Exceptional
How it's scored
27/27Ships releases69 releases published
36/36Release recencylatest release 21 days ago
27/27Release cadencea release every ~20.1 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count69
latest_release_tagv1.61.0
releases_from_tagsno
days_since_latest_release21
mean_days_between_releases20.1
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?

82Excellent · 17% of overall
How it's scored
45.4/60Stars627 stars
16.4/25Forks93 forks
7.2/15Watchers21 watchers
Inputs used
forks93
stars627
watchers21
growth_stateorganic
growth_factor_pct100

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, shields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads7,331,363 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesmsgraph-sdk
dependents
ecosystemspypi
total_downloads
monthly_downloads7,331,363
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?

78Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
13.8/22.5Commit distributiontop contributor authored 39% of commits
13.5/13.5Contributor breadth30 contributors
10/10OpenSSF Scorecard: Contributorsproject has 13 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled30
top_contributor_share0.386
How it's scored
31.1/42Issue resolution74% of issues closed
21.8/30PR acceptance829/1,141 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs829
open_issues91
closed_issues261
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.741
closed_unmerged_prs312
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
0/20Verified domain
22.7/25Owner reach1,444 followers of microsoftgraph
25/25Track record236 public repos, account ~10 yr old
Inputs used
followers1,444
owner_typeOrganization
is_verifiedno
owner_loginmicrosoftgraph
public_repos236
account_age_days3,843

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 21 days ago
20/20Version history78 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesmsgraph-sdk
ecosystemspypi
any_deprecatedno
min_days_since_publish21

Engineering Quality

Are baseline engineering and documentation practices in place?

68Good · 19% of overall
How it's scored
24/24CI workflows7 workflow(s)
0/24Tests present
16/16Linter config.pylintrc, pyproject.toml ([tool.isort], [tool.yapf])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests16 out of 16 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsno
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://github.com/microsoftgraph/msgraph-sdk-python/docs
0/10Repository description
10/10Topics1 topics
0/10Wiki
Inputs used
topicsdevxeng
has_wikino
homepage
docs_sitehttps://github.com/microsoftgraph/msgraph-sdk-python/docs
has_readmeyes
has_docs_diryes
has_descriptionno

Security

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

76Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests16 out of 16 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
2.5/2.5Contributorsproject has 13 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
5/5SASTSAST tool is run on all commits
5/5Security-Policysecurity policy file 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_aggregate7
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 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_packages41
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:msgraph-sdk@1.61.0 runtime dependency closure — what installing the published package pulls in — 41 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.

52Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history61 of 65 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.938
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
0/22Automated tests
11/11Lint / format config.pylintrc, pyproject.toml ([tool.isort], [tool.yapf])
11/11Static type checkingmsgraph/py.typed, mypy.ini
10/10Reproducible environmentdevcontainer
10/10Demonstrated agent practice8 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance12 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsno
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontaineryes
has_linter_configyes
typecheck_configsmsgraph/py.typed, mypy.ini
agent_commit_share0.08
toolchain_manifests
dependency_bot_commit_share0.12
How it's scored
27/45Type-checkable codePython with type-check config (msgraph/py.typed, mypy.ini)
55/55Manageable file sizes0/4 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes2,904
source_files_sampled4
oversized_source_files0

Key facts

627GitHub stars
30contributors
123commits, last 12 months
6days since last push
69releases
2bus factor
91open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-10: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 627 stars today.

More detail

Star and fork history 616 ★ / 93 ⇿
616Stars
93Forks
67Releases

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 2026-07-10. 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.

01252503755006256169182022-112024-092026-07
Major 1Minor 58Patch 6

Each point covers 4 days.

OpenSSF Scorecard 7.0 / 10
7.0aggregate

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 16:31 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-Tests16 out of 16 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 13 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 0 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
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
3Vulnerabilities7 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIazure-identity>=1.12.0pyproject.toml
PyPImicrosoft-kiota-serialization-json>=1.8.0,<2.0.0pyproject.toml
PyPImicrosoft-kiota-serialization-text>=1.8.0,<2.0.0pyproject.toml
PyPImicrosoft-kiota-serialization-form>=1.8.0,<2.0.0pyproject.toml
PyPImicrosoft-kiota-serialization-multipart>=1.8.0,<2.0.0pyproject.toml
PyPImsgraph_core>=1.5.1pyproject.toml
All dependencies 83

Full resolved dependency set from the GitHub dependency graph: 12 direct and 71 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIazure-identitydirect
PyPIazure-identity1.25.3direct
PyPImicrosoft-kiota-serialization-formdirect
PyPImicrosoft-kiota-serialization-form1.11.7direct
PyPImicrosoft-kiota-serialization-jsondirect
PyPImicrosoft-kiota-serialization-json1.11.7direct
PyPImicrosoft-kiota-serialization-multipartdirect
PyPImicrosoft-kiota-serialization-multipart1.11.7direct
PyPImicrosoft-kiota-serialization-textdirect
PyPImicrosoft-kiota-serialization-text1.11.7direct
PyPImsgraph-coredirect
PyPImsgraph-core1.5.1direct
PyPIaiohttp3.14.1indirect
PyPIaiosignal1.4.0indirect
PyPIanyio4.13.0indirect
PyPIastroid4.0.2indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIazure-core1.41.0indirect
PyPIbuild1.5.0indirect
PyPIbumpver2025.1131indirect
PyPIcertifi2026.5.20indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcryptography48.0.1indirect
PyPIdeprecated1.3.1indirect
PyPIdill0.4.1indirect
PyPIdocutils0.23indirect
PyPIflit3.12.0indirect
PyPIflit-core3.12.0indirect
PyPIfrozenlist1.8.0indirect
PyPIh110.16.0indirect
PyPIh24.3.0indirect
PyPIhpack4.1.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhyperframe6.1.0indirect
PyPIidna3.15indirect
PyPIimportlib-metadata9.0.0indirect
PyPIisort6.1.0indirect
PyPIlazy-object-proxy1.12.0indirect
PyPIlexid2021.1006indirect
PyPIlooseversion1.3.0indirect
PyPImccabe0.7.0indirect
PyPImicrosoft-kiota-abstractions1.11.7indirect
PyPImicrosoft-kiota-authentication-azure1.11.7indirect
PyPImicrosoft-kiota-http1.11.7indirect
PyPImsal1.37.0indirect
PyPImsal-extensions1.3.1indirect
PyPImultidict6.7.1indirect
PyPImypy2.1.0indirect
PyPImypy-extensions1.1.0indirect
PyPIopentelemetry-api1.42.1indirect
PyPIopentelemetry-sdk1.42.1indirect
PyPIopentelemetry-semantic-conventions0.63b1indirect
PyPIpackaging26.1indirect
PyPIpathlib22.3.7.post1indirect
PyPIplatformdirs4.10.0indirect
PyPIportalocker2.10.1indirect
PyPIpycparser3.0indirect
PyPIpyjwt2.13.0indirect
PyPIpylint4.0.5indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIrequests2.34.2indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIstd-uritemplateindirect
PyPItime-machine3.2.0indirect
PyPItoml0.10.2indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.14.0indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2026.1indirect
PyPIuritemplate4.2.0indirect
PyPIurllib32.7.0indirect
PyPIwrapt2.2.1indirect
PyPIyapf0.43.0indirect
PyPIyarl1.22.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:msgraph-sdk@1.61.0 pulls in 41 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.