Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 14:32 UTC

vgrem / office365-rest-python-client

Microsoft 365 & Microsoft Graph Library for Python

PythonMIT★ 1,720 stars⑂ 370 forkssince Feb 2016View on GitHub ↗

#office365 #sdk-python #sharepoint #outlook #microsoft-graph #onedrive #microsoft-teams #teams #onenote #planner #microsoft365 #python #hacktoberfest

vgrem/office365-rest-python-client holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (94/100) and lowest on Security (62/100). It was last updated today. A single contributor accounts for most of its recent work.

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.

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)

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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

Vadim GremyachevPersonal account

147 followers4 public repossince Apr 2012@hiq

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish
PyPI	office365-rest-python-client	3.0.0	16,614,589	59	25 days ago

Metrics by category

Vitality

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

91Excellent · 21% of overall

Development activity

90Excellent

How it's scored

36/36	Push recency — last push 0 days ago
26.3/36	Commit cadence — 38/52 weeks with commits
18/18	Commit volume — 961 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	961
human_commit_share	0.94
days_since_last_push	0
active_weeks_last_year	38

Release discipline

92Excellent

How it's scored

27/27	Ships releases — 57 releases published
36/36	Release recency — latest release 25 days ago
19.8/27	Release cadence — a release every ~93.3 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	57
latest_release_tag	v3.0.0
releases_from_tags	no
days_since_latest_release	25
mean_days_between_releases	93.3

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?

88Excellent · 17% of overall

Popularity & adoption

82Excellent

How it's scored

52.5/60	Stars — 1,720 stars
21.4/25	Forks — 370 forks
8.5/15	Watchers — 35 watchers

Inputs used

forks	370
stars	1,720
watchers	35
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

85Excellent

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (MIT)
18/18	CONTRIBUTING guide
13.5/13.5	Code of conduct
0/7.2	Issue template
0/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	3
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

100Exceptional

How it's scored

80/80	Monthly downloads — 16,614,589 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	office365-rest-python-client
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	16,614,589
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?

62Moderate · 23% of overall

Maintainer resilience (bus factor)

34At Risk

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
2/22.5	Commit distribution — top contributor authored 91% of commits
13.5/13.5	Contributor breadth — 54 contributors
10/10	OpenSSF Scorecard: Contributors — project has 17 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	54
top_contributor_share	0.912

Issue & PR responsiveness

75Good

How it's scored

38.2/42	Issue resolution — 91% of issues closed
26.9/30	PR acceptance — 166/185 decided PRs merged
0/13	Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15	OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0

Inputs used

merged_prs	166
open_issues	77
closed_issues	771
prs_merged_7d	0
prs_decided_7d	2
prs_merged_30d	0
prs_decided_30d	2
issue_closed_ratio	0.909
closed_unmerged_prs	19
first_time_authors_30d	0
first_time_prs_merged_30d	0
first_time_prs_decided_30d	0

Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

53Moderate

How it's scored

10/30	Ownership backing — personal (user) account
0/20	Verified domain — not applicable to user accounts
15.6/25	Owner reach — 147 followers of vgrem
17.1/25	Track record — 4 public repos, account ~14 yr old

Inputs used

followers	147
owner_type	User
is_verified	—
owner_login	vgrem
public_repos	4
account_age_days	5,260

Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 25 days ago
20/20	Version history — 59 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	office365-rest-python-client
ecosystems	pypi
any_deprecated	no
min_days_since_publish	25

Engineering Quality

Are baseline engineering and documentation practices in place?

94Exceptional · 19% of overall

Engineering practices

100Exceptional

How it's scored

24/24	CI workflows — 4 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
9.6/9.6	Pre-commit hooks
6.4/6.4	.editorconfig
0/20	OpenSSF Scorecard: CI-Tests — no data

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	yes
has_linter_config	yes
has_precommit_config	yes

Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

85Excellent

How it's scored

30/30	README
25/25	Documentation directory
0/15	Documentation / homepage site
10/10	Repository description
10/10	Topics — 13 topics
10/10	Wiki

Inputs used

topics	office365, sdk-python, sharepoint, outlook, microsoft-graph, onedrive, microsoft-teams, teams, onenote, planner, microsoft365, python, hacktoberfest
has_wiki	yes
homepage	—
docs_site	—
has_readme	yes
has_docs_dir	yes
has_description	yes

Security

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

62Moderate · 16% of overall

Security posture

53Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — branch protection not enabled on development/release branches
0/2.5	CI-Tests — no data
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5	Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5	Contributors — project has 17 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5	Dependency-Update-Tool — update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5	SAST — no SAST tool detected
0/5	Security-Policy — security policy file not detected
0/7.5	Signed-Releases — no data
7.5/7.5	Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5	Vulnerabilities — 41 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	5.3

Excluded from scoring (no data or not applicable): CI-Tests, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25	Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	12
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:office365-rest-python-client@3.0.0 runtime dependency closure — what installing the published package pulls in — 12 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

40Weak

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 79 of 94 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.84
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

62Moderate

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
11/11	Static type checking — office365/py.typed
10/10	Reproducible environment — lockfile
0/10	Demonstrated agent practice — no agent-authored commits among the last 100
8/8	Automated maintenance — 6 of the last 100 commits are automated dependency updates
0/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0

Inputs used

has_nix	no
has_tests	yes
lockfiles	uv.lock
has_dockerfile	no
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	office365/py.typed
agent_commit_share	0
toolchain_manifests	—
dependency_bot_commit_share	0.06

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (office365/py.typed)
55/55	Manageable file sizes — 3/6,500 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	107,844
source_files_sampled	6,500
oversized_source_files	3

Machine-readable interfaces

100Exceptional

How it's scored

0/40	API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20	MCP server — not applicable to this kind of software
40/40	Runnable examples — examples, notebooks, samples

Inputs used

example_dirs	examples, notebooks, samples
has_mcp_signal	no
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

1,720GitHub stars

54contributors

961commits, last 12 months

0days since last push

57releases

1bus factor

77open 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 ★ / 370 ⇿

0Stars

370Forks

56Releases

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.

Major 0Minor 5Patch 47

Each point covers 9 days.

OpenSSF Scorecard 5.3 / 10

5.3aggregate

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 14:31 UTC

10	Binary-Artifacts	no binaries found in the repo
0	Branch-Protection	branch protection not enabled on development/release branches
n/a	CI-Tests	no pull request found
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
0	Code-Review	Found 0/30 approved changesets -- score normalized to 0
10	Contributors	project has 17 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
10	Dependency-Update-Tool	update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
0	SAST	no SAST tool detected
0	Security-Policy	security policy file not detected
n/a	Signed-Releases	no releases found
10	Token-Permissions	GitHub workflow tokens follow principle of least privilege
0	Vulnerabilities	41 existing vulnerabilities detected

Direct dependencies 4

Registry	Package	Version constraint	Manifest
PyPI	msal	`>=1.28,<2`	pyproject.toml
PyPI	pytz	`>=2021.1`	pyproject.toml
PyPI	requests	`>=2.32.4,<3`	pyproject.toml
PyPI	typing-extensions	`>=4.5`	pyproject.toml

All dependencies 236

Full resolved dependency set from the GitHub dependency graph: 6 direct and 230 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	msal	`1.34.0`	direct
PyPI	pytz	`2025.2`	direct
PyPI	requests	`2.32.4`	direct
PyPI	requests	`2.32.5`	direct
PyPI	typing-extensions	`4.13.2`	direct
PyPI	typing-extensions	`4.15.0`	direct
PyPI	adal	`1.2.7`	indirect
PyPI	anyio	`4.12.1`	indirect
PyPI	anyio	`4.13.0`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	argon2-cffi	`25.1.0`	indirect
PyPI	argon2-cffi-bindings	`21.2.0`	indirect
PyPI	argon2-cffi-bindings	`25.1.0`	indirect
PyPI	arrow	`1.4.0`	indirect
PyPI	asttokens	`3.0.1`	indirect
PyPI	astunparse	`1.6.3`	indirect
PyPI	async-lru	`2.0.5`	indirect
PyPI	async-lru	`2.3.0`	indirect
PyPI	attrs	`25.3.0`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	backcall	`0.2.0`	indirect
PyPI	backrefs	`6.2`	indirect
PyPI	backrefs	`8.0`	indirect
PyPI	beautifulsoup4	`4.14.3`	indirect
PyPI	beautifulsoup4	`4.6.3`	indirect
PyPI	bleach	`6.1.0`	indirect
PyPI	bleach	`6.2.0`	indirect
PyPI	bleach	`6.4.0`	indirect
PyPI	bracex	`2.6`	indirect
PyPI	bracex	`3.0.1`	indirect
PyPI	certifi	`2026.1.4`	indirect
PyPI	cffi	`1.17.1`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	charset-normalizer	`3.4.4`	indirect
PyPI	click	`8.1.8`	indirect
PyPI	click	`8.4.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	configparser	`5.0.2`	indirect
PyPI	cryptography	`47.0.0`	indirect
PyPI	cryptography	`48.0.0`	indirect
PyPI	debugpy	`1.8.20`	indirect
PyPI	decorator	`5.3.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	faker	`4.1.8`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	ghp-import	`2.1.0`	indirect
PyPI	griffe	`1.14.0`	indirect
PyPI	griffelib	`2.2.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	idna	`3.15`	indirect
PyPI	importlib-metadata	`8.5.0`	indirect
PyPI	importlib-metadata	`8.7.1`	indirect
PyPI	importlib-resources	`6.4.5`	indirect
PyPI	iniconfig	`2.1.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipykernel	`6.29.5`	indirect
PyPI	ipykernel	`6.31.0`	indirect
PyPI	ipykernel	`7.2.0`	indirect
PyPI	ipython	`8.12.3`	indirect
PyPI	ipython	`8.18.1`	indirect
PyPI	ipython	`8.39.0`	indirect
PyPI	ipython	`9.13.0`	indirect
PyPI	ipython-genutils	`0.2.0`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	ipywidgets	`8.1.8`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jedi	`0.20.0`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	json5	`0.14.0`	indirect
PyPI	jsonpointer	`3.0.0`	indirect
PyPI	jsonpointer	`3.1.1`	indirect
PyPI	jsonschema	`4.23.0`	indirect
PyPI	jsonschema	`4.25.1`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2023.12.1`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter	`1.0.0`	indirect
PyPI	jupyter	`1.1.1`	indirect
PyPI	jupyter-client	`8.6.3`	indirect
PyPI	jupyter-client	`8.8.0`	indirect
PyPI	jupyter-console	`6.6.3`	indirect
PyPI	jupyter-core	`5.8.1`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	jupyter-events	`0.12.1`	indirect
PyPI	jupyter-lsp	`2.3.1`	indirect
PyPI	jupyter-server	`2.18.2`	indirect
PyPI	jupyter-server	`2.20.0`	indirect
PyPI	jupyter-server-terminals	`0.5.4`	indirect
PyPI	jupyterlab	`4.5.10`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	jupyterlab-widgets	`3.0.16`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	markdown	`3.10.3`	indirect
PyPI	markdown	`3.9`	indirect
PyPI	markupsafe	`2.1.5`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib-inline	`0.1.7`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mergedeep	`1.3.4`	indirect
PyPI	mistune	`3.3.0`	indirect
PyPI	mkdocs	`1.6.1`	indirect
PyPI	mkdocs-autorefs	`1.4.4`	indirect
PyPI	mkdocs-awesome-pages-plugin	`2.10.1`	indirect
PyPI	mkdocs-gen-files	`0.6.1`	indirect
PyPI	mkdocs-get-deps	`0.2.2`	indirect
PyPI	mkdocs-material	`9.7.7`	indirect
PyPI	mkdocs-material-extensions	`1.3.1`	indirect
PyPI	mkdocstrings	`0.30.1`	indirect
PyPI	mkdocstrings-python	`1.18.2`	indirect
PyPI	mkdocstrings-python	`2.0.7`	indirect
PyPI	natsort	`8.4.0`	indirect
PyPI	nbclient	`0.10.1`	indirect
PyPI	nbclient	`0.10.2`	indirect
PyPI	nbclient	`0.10.4`	indirect
PyPI	nbconvert	`7.16.6`	indirect
PyPI	nbconvert	`7.17.1`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	notebook	`6.4.12`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	numpy	`—`	indirect
PyPI	numpy	`1.24.4`	indirect
PyPI	numpy	`2.0.2`	indirect
PyPI	numpy	`2.2.6`	indirect
PyPI	numpy	`2.4.6`	indirect
PyPI	office365-rest-python-client	`3.0.0`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	packaging	`25.0`	indirect
PyPI	paginate	`0.5.7`	indirect
PyPI	pandas	`—`	indirect
PyPI	pandas	`2.0.3`	indirect
PyPI	pandas	`2.3.3`	indirect
PyPI	pandas	`3.0.3`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parso	`0.8.7`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pickleshare	`0.7.5`	indirect
PyPI	pkgutil-resolve-name	`1.3.10`	indirect
PyPI	platformdirs	`4.3.6`	indirect
PyPI	platformdirs	`4.4.0`	indirect
PyPI	platformdirs	`4.9.6`	indirect
PyPI	pluggy	`1.5.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	prometheus-client	`0.21.1`	indirect
PyPI	prometheus-client	`0.25.0`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	properdocs	`1.6.7`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pycparser	`2.23`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pyjwt	`2.10.1`	indirect
PyPI	pyjwt	`2.9.0`	indirect
PyPI	pymdown-extensions	`10.21.3`	indirect
PyPI	pymdown-extensions	`11.0.1`	indirect
PyPI	pyproject-fmt	`2.11.1`	indirect
PyPI	pyproject-fmt	`2.2.4`	indirect
PyPI	pyproject-fmt	`2.8.0`	indirect
PyPI	pyproject-fmt-rust	`1.1.6`	indirect
PyPI	pyright	`1.1.408`	indirect
PyPI	pyspnego	`0.11.2`	indirect
PyPI	pyspnego	`0.12.0`	indirect
PyPI	pytest	`8.3.5`	indirect
PyPI	pytest	`8.4.2`	indirect
PyPI	pytest	`9.0.2`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-json-logger	`4.0.0`	indirect
PyPI	python-json-logger	`4.1.0`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pywinpty	`2.0.14`	indirect
PyPI	pywinpty	`3.0.3`	indirect
PyPI	pyyaml	`—`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyyaml-env-tag	`1.1`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	qtconsole	`5.6.1`	indirect
PyPI	qtpy	`2.4.3`	indirect
PyPI	referencing	`0.35.1`	indirect
PyPI	referencing	`0.36.2`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	requests-ntlm	`1.3.0`	indirect
PyPI	rfc3339-validator	`0.1.4`	indirect
PyPI	rfc3986-validator	`0.1.1`	indirect
PyPI	rfc3987-syntax	`1.1.0`	indirect
PyPI	rpds-py	`0.20.1`	indirect
PyPI	rpds-py	`0.27.1`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	ruff	`0.14.11`	indirect
PyPI	send2trash	`2.1.0`	indirect
PyPI	setuptools	`82.0.1`	indirect
PyPI	setuptools	`83.0.0`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	soupsieve	`2.8.4`	indirect
PyPI	sspilib	`0.2.0`	indirect
PyPI	sspilib	`0.5.0`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	text-unidecode	`1.3`	indirect
PyPI	tinycss2	`1.2.1`	indirect
PyPI	tinycss2	`1.4.0`	indirect
PyPI	toml-fmt-common	`1.0.1`	indirect
PyPI	toml-fmt-common	`1.1.0`	indirect
PyPI	tomli	`2.4.0`	indirect
PyPI	tornado	`6.4.2`	indirect
PyPI	tornado	`6.5.5`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	traitlets	`5.15.0`	indirect
PyPI	types-requests	`2.32.0.20241016`	indirect
PyPI	types-requests	`2.32.4.20260107`	indirect
PyPI	tzdata	`2026.2`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.2.3`	indirect
PyPI	urllib3	`2.6.3`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	wcmatch	`10.1`	indirect
PyPI	wcmatch	`11.0.1`	indirect
PyPI	wcwidth	`0.7.0`	indirect
PyPI	webcolors	`24.11.1`	indirect
PyPI	webcolors	`25.10.0`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	websocket-client	`1.9.0`	indirect
PyPI	widgetsnbextension	`4.0.15`	indirect
PyPI	zipp	`3.20.2`	indirect
PyPI	zipp	`3.23.1`	indirect

Dependency advisories 0

Installing pypi:office365-rest-python-client@3.0.0 pulls in 12 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.

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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.

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