Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 15:03 UTC

microsoftgraph / msgraph-sdk-python-core

Microsoft Graph client library for Python

PythonMIT★ 288 stars⑂ 49 forkssince Feb 2020View on GitHub ↗
KindLibraryhow this is determined
#sdk#msgraph#msgraph-sdk-python#devxeng

microsoftgraph/msgraph-sdk-python-core holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (90/100) and lowest on AI Readiness (64/100). It was last updated 19 days ago. 2 contributors account for most of its recent work.

94
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.

94
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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

Microsoft GraphOrganization
1,443 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-core1.5.111,963,2352944 days agomsgraphopenapimicrosoftgraph

Metrics by category

Vitality

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

78Good · 21% of overall

Development activity

68Good
How it's scored
28.8/36Push recency — last push 19 days ago
11.1/36Commit cadence — 16/52 weeks with commits
18/18Commit volume — 126 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year126
human_commit_share0.7
days_since_last_push19
active_weeks_last_year16

Release discipline

92Excellent
How it's scored
27/27Ships releases — 31 releases published
36/36Release recency — latest release 44 days ago
19.8/27Release cadence — a release every ~55.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count31
latest_release_tagv1.5.1
releases_from_tagsno
days_since_latest_release44
mean_days_between_releases55.9
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

Popularity & adoption

61Moderate
How it's scored
39.9/60Stars — 288 stars
14/25Forks — 49 forks
7.1/15Watchers — 20 watchers
Inputs used
forks49
stars288
watchers20
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 (MIT)
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_badges2
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, github.com
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 11,963,235 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmsgraph-core
dependents—
ecosystemspypi
total_downloads—
monthly_downloads11,963,235
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?

79Good · 23% of overall

Maintainer resilience (bus factor)

63Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.2/22.5Commit distribution — top contributor authored 37% of commits
13.5/13.5Contributor breadth — 31 contributors
10/10OpenSSF Scorecard: Contributors — project has 14 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled31
top_contributor_share0.371

Issue & PR responsiveness

83Excellent
How it's scored
36.9/42Issue resolution — 88% of issues closed
26.3/30PR acceptance — 828/943 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
9/15OpenSSF Scorecard: Code-Review — Found 3/5 approved changesets -- score normalized to 6
Inputs used
merged_prs828
open_issues17
closed_issues123
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.879
closed_unmerged_prs115
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.

Ownership & stewardship

78Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
22.7/25Owner reach — 1,443 followers of microsoftgraph
25/25Track record — 236 public repos, account ~10 yr old
Inputs used
followers1,443
owner_typeOrganization
is_verifiedno
owner_loginmicrosoftgraph
public_repos236
account_age_days3,843

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 44 days ago
20/20Version history — 29 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmsgraph-core
ecosystemspypi
any_deprecatedno
min_days_since_publish44

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — .pylintrc, pyproject.toml ([tool.isort], [tool.yapf])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 9 out of 9 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/microsoftgraph/msgraph-sdk-python-core/docs
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicssdk, msgraph, msgraph-sdk-python, devxeng
has_wikiyes
homepage—
docs_sitehttps://github.com/microsoftgraph/msgraph-sdk-python-core/docs
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

72Good · 16% of overall

Security posture

65Good
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
4.5/7.5Code-Review — Found 3/5 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 14 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 0 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
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0.8/7.5Vulnerabilities — 9 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate6.5
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_packages29
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-core@1.5.1 runtime dependency closure — what installing the published package pulls in — 29 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.

64Moderate · 4% of overall

Agent context & guidance

30At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
29.7/40Legible commit history — 39 of 70 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.557
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

79Good
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — .pylintrc, pyproject.toml ([tool.isort], [tool.yapf])
0/11Static type checking
10/10Reproducible environment — devcontainer
10/10Demonstrated agent practice — 10 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 25 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configs—
agent_commit_share0.1
toolchain_manifests—
dependency_bot_commit_share0.25

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/55 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes12,941
source_files_sampled55
oversized_source_files0

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 — samples
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

288GitHub stars
31contributors
126commits, last 12 months
19days since last push
31releases
2bus factor
17open 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 ★ / 49 ⇿
0Stars
49Forks
31Releases

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.

010203040504922020-032023-052026-07
Major 1Minor 7Patch 22

Each point covers 6 days.

OpenSSF Scorecard 6.5 / 10
6.5aggregate

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 15:02 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
6Code-ReviewFound 3/5 approved changesets -- score normalized to 6
10Contributorsproject has 14 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
1Vulnerabilities9 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPImicrosoft-kiota-abstractions>=1.11.6,<2.0.0pyproject.toml
PyPImicrosoft-kiota-authentication-azure>=1.11.6,<2.0.0pyproject.toml
PyPImicrosoft-kiota-http>=1.11.6,<2.0.0pyproject.toml
PyPIhttpx>=0.23.0pyproject.toml
All dependencies 84

Full resolved dependency set from the GitHub dependency graph: 8 direct and 76 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIhttpx—direct
PyPIhttpx0.28.1direct
PyPImicrosoft-kiota-abstractions—direct
PyPImicrosoft-kiota-abstractions1.11.6direct
PyPImicrosoft-kiota-authentication-azure—direct
PyPImicrosoft-kiota-authentication-azure1.11.6direct
PyPImicrosoft-kiota-http—direct
PyPImicrosoft-kiota-http1.11.6direct
PyPIaiohttp3.14.1indirect
PyPIaiosignal1.4.0indirect
PyPIanyio4.13.0indirect
PyPIasync-generator1.10indirect
PyPIasync-timeout5.0.1indirect
PyPIasyncmock0.4.2indirect
PyPIattrs26.1.0indirect
PyPIazure-core1.41.0indirect
PyPIazure-identity1.24.0indirect
PyPIbuild1.3.0indirect
PyPIbumpver2025.1131indirect
PyPIcertifi2025.8.3indirect
PyPIcffi1.17.1indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.1.8indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.14.1indirect
PyPIcryptography48.0.1indirect
PyPIdeprecated1.2.18indirect
PyPIdill0.4.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIfrozenlist1.8.0indirect
PyPIh110.16.0indirect
PyPIh24.3.0indirect
PyPIhpack4.1.0indirect
PyPIhttpcore1.0.9indirect
PyPIhyperframe6.1.0indirect
PyPIidna3.15indirect
PyPIimportlib-metadata7.1.0indirect
PyPIiniconfig2.3.0indirect
PyPIisort6.0.1indirect
PyPIlazy-object-proxy1.11.0indirect
PyPIlexid2021.1006indirect
PyPIlooseversion1.3.0indirect
PyPImccabe0.7.0indirect
PyPImicrosoft-kiota-serialization-json1.11.6indirect
PyPImock5.2.0indirect
PyPImsal1.36.0indirect
PyPImsal-extensions1.3.1indirect
PyPImultidict6.7.1indirect
PyPImypy1.17.1indirect
PyPImypy-extensions1.1.0indirect
PyPIoutcome1.3.0.post0indirect
PyPIpackaging25.0indirect
PyPIpathlib22.3.7.post1indirect
PyPIplatformdirs4.4.0indirect
PyPIpluggy1.6.0indirect
PyPIpycparser2.23indirect
PyPIpyjwt2.13.0indirect
PyPIpylint4.0.5indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest9.0.3indirect
PyPIpytest-asyncio1.3.0indirect
PyPIpytest-cov7.0.0indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-trio0.8.0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpywin32311indirect
PyPIrequests2.33.0indirect
PyPIsetuptools80.9.0indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPItoml0.10.2indirect
PyPItomli2.2.1indirect
PyPItomlkit0.13.3indirect
PyPItrio0.33.0indirect
PyPItypes-deprecated1.3.1.20260519indirect
PyPItypes-python-dateutil2.9.0.20260518indirect
PyPItypes-requests2.33.0.20260518indirect
PyPItyping-extensions4.15.0indirect
PyPIuritemplate4.2.0indirect
PyPIurllib32.7.0indirect
PyPIwrapt1.17.3indirect
PyPIyapf0.43.0indirect
PyPIyarl1.24.2indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:msgraph-core@1.5.1 pulls in 29 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.