Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-24 07:59 UTC

alpacahq / alpaca-py

The Official Python SDK for Alpaca API

PythonApache-2.0★ 1,567 stars⑂ 421 forkssince Feb 2022View on GitHub ↗

#algorithmic-trading #brokerage #crypto #finance #market-data #python #trading #alpaca #alpaca-api #equities #options #quant #stock-trading #quantitative-finance #algotrading

alpacahq/alpaca-py holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (95/100) and lowest on Security (78/100). 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 84 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

AlpacaOrganization · verified domain

1,712 followers93 public repossince Jul 2017

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

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish
PyPI	alpaca-py	0.44.0	1,066,689	96	73 days ago

Metrics by category

Vitality

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

87Excellent · 21% of overall

Development activity

79Good

How it's scored

36/36	Push recency — last push 0 days ago
15.2/36	Commit cadence — 22/52 weeks with commits
18/18	Commit volume — 112 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	112
human_commit_share	0.48
days_since_last_push	0
active_weeks_last_year	22

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 88 releases published
36/36	Release recency — latest release 73 days ago
27/27	Release cadence — a release every ~44.8 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	88
latest_release_tag	v0.44.0
releases_from_tags	no
days_since_latest_release	73
mean_days_between_releases	44.8

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?

83Excellent · 17% of overall

Popularity & adoption

83Excellent

How it's scored

51.8/60	Stars — 1,567 stars
21.9/25	Forks — 421 forks
9.6/15	Watchers — 55 watchers

Inputs used

forks	421
stars	1,567
watchers	55
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

70Good

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (Apache-2.0)
18/18	CONTRIBUTING guide
0/13.5	Code of conduct
0/7.2	Issue template
0/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	6
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

100Exceptional

How it's scored

80/80	Monthly downloads — 1,066,689 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	alpaca-py
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	1,066,689
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

Maintainer resilience (bus factor)

43Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
10.6/22.5	Commit distribution — top contributor authored 53% of commits
13.5/13.5	Contributor breadth — 60 contributors
10/10	OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	60
top_contributor_share	0.527

Issue & PR responsiveness

84Excellent

How it's scored

33.9/42	Issue resolution — 81% of issues closed
23.7/30	PR acceptance — 421/533 decided PRs merged
11.6/13	Newcomer PR acceptance — 8/9 first-time contributors' PRs merged in 30d
15/15	OpenSSF Scorecard: Code-Review — all changesets reviewed

Inputs used

merged_prs	421
open_issues	55
closed_issues	232
prs_merged_7d	10
prs_decided_7d	11
prs_merged_30d	31
prs_decided_30d	36
issue_closed_ratio	0.808
closed_unmerged_prs	112
first_time_authors_30d	7
first_time_prs_merged_30d	8
first_time_prs_decided_30d	9

Ownership & stewardship

98Exceptional

How it's scored

30/30	Ownership backing — organization-owned
20/20	Verified domain
23.2/25	Owner reach — 1,712 followers of alpacahq
25/25	Track record — 93 public repos, account ~9 yr old

Inputs used

followers	1,712
owner_type	Organization
is_verified	yes
owner_login	alpacahq
public_repos	93
account_age_days	3,379

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 73 days ago
20/20	Version history — 96 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	alpaca-py
ecosystems	pypi
any_deprecated	no
min_days_since_publish	73

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall

Engineering practices

92Excellent

How it's scored

24/24	CI workflows — 3 workflow(s)
24/24	Tests present
16/16	Linter config
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
18/20	OpenSSF Scorecard: CI-Tests — 28 out of 30 merged PRs checked by a CI test -- score normalized to 9

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	yes

Documentation

100Exceptional

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://alpaca.markets/sdks/python/getting_started.html
10/10	Repository description
10/10	Topics — 15 topics
10/10	Wiki

Inputs used

topics	algorithmic-trading, brokerage, crypto, finance, market-data, python, trading, alpaca, alpaca-api, equities, options, quant, stock-trading, quantitative-finance, algotrading
has_wiki	yes
homepage	https://alpaca.markets/sdks/python/getting_started.html
docs_site	https://alpaca.markets/sdks/python/getting_started.html
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?

78Good · 16% of overall

Security posture

73Good

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — no data
2.2/2.5	CI-Tests — 28 out of 30 merged PRs checked by a CI test -- score normalized to 9
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5	Code-Review — all changesets reviewed
2.5/2.5	Contributors — project has 6 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 0 issue activity found in the last 90 days -- score normalized to 10
0/5	Packaging — no data
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
4/5	SAST — SAST tool is not run on all commits -- score normalized to 8
0/5	Security-Policy — security policy file not detected
0/7.5	Signed-Releases — no data
6.8/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
3.8/7.5	Vulnerabilities — 5 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	15
scorecard_version	v5.5.0
checks_inconclusive	3
scorecard_aggregate	7.3

Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, 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	19
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:alpaca-py@0.44.0 runtime dependency closure — what installing the published package pulls in — 19 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.

80Excellent · 4% of overall

Agent context & guidance

55Moderate

How it's scored

0/45	Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15	Machine-readable docs (llms.txt) — llms.txt served by the project website (https://alpaca.markets/llms.txt)
40/40	Legible commit history — 48 of 48 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	yes
llms_txt_url	https://alpaca.markets/llms.txt
legible_history_share	1
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

90Excellent

How it's scored

18/18	One-command bootstrap — Makefile, docs/Makefile
22/22	Automated tests
11/11	Lint / format config
11/11	Static type checking — alpaca/py.typed
10/10	Reproducible environment — Dockerfile, lockfile
10/10	Demonstrated agent practice — 17 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 52 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	package-lock.json, poetry.lock, uv.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	Makefile, docs/Makefile
has_devcontainer	no
has_linter_config	yes
typecheck_configs	alpaca/py.typed
agent_commit_share	0.17
toolchain_manifests	—
dependency_bot_commit_share	0.52

Code legibility for models

81Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (alpaca/py.typed)
53.7/55	Manageable file sizes — 3/124 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	90,150
source_files_sampled	124
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

Inputs used

example_dirs	examples, notebooks
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

1,567GitHub stars

60contributors

112commits, last 12 months

0days since last push

88releases

1bus factor

55open 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 ★ / 421 ⇿

0Stars

421Forks

86Releases

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 42Patch 44

Each point covers 5 days.

OpenSSF Scorecard 7.3 / 10

7.3aggregate

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 · 2026-10-24 07:59 UTC

10	Binary-Artifacts	no binaries found in the repo
n/a	Branch-Protection	internal 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
9	CI-Tests	28 out of 30 merged PRs checked by a CI test -- score normalized to 9
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
10	Code-Review	all changesets reviewed
10	Contributors	project has 6 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 0 issue activity found in the last 90 days -- score normalized to 10
n/a	Packaging	packaging workflow not detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
8	SAST	SAST tool is not run on all commits -- score normalized to 8
0	Security-Policy	security policy file not detected
n/a	Signed-Releases	no releases found
9	Token-Permissions	detected GitHub workflow tokens with excessive permissions
5	Vulnerabilities	5 existing vulnerabilities detected

Direct dependencies 7

Registry	Package	Version constraint	Manifest
PyPI	requests	`^2.30.0`	pyproject.toml
PyPI	pydantic	`^2.7.0`	pyproject.toml
PyPI	pandas	`>=1.5.3`	pyproject.toml
PyPI	msgpack	`^1.0.3`	pyproject.toml
PyPI	websockets	`>=10.4`	pyproject.toml
PyPI	sseclient-py	`^1.7.2`	pyproject.toml
PyPI	typing-extensions	`>=4.5.0`	pyproject.toml

All dependencies 158

Full resolved dependency set from the GitHub dependency graph: 14 direct and 144 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	msgpack	`1.2.1`	direct
PyPI	msgpack	`1.2.3`	direct
PyPI	pandas	`—`	direct
PyPI	pandas	`2.3.3`	direct
PyPI	pandas	`3.0.1`	direct
PyPI	pydantic	`2.12.5`	direct
PyPI	pydantic	`2.14.1`	direct
PyPI	requests	`2.33.0`	direct
PyPI	requests	`2.34.2`	direct
PyPI	sseclient-py	`1.9.0`	direct
PyPI	typing-extensions	`4.15.0`	direct
PyPI	typing-extensions	`4.16.0`	direct
PyPI	websockets	`16.0`	direct
PyPI	websockets	`16.1.1`	direct
npm	agent-base	`6.0.2`	indirect
npm	asynckit	`0.4.0`	indirect
npm	axios	`1.20.0`	indirect
npm	axios-proxy-builder	`0.1.2`	indirect
npm	balanced-match	`4.0.4`	indirect
npm	brace-expansion	`5.0.12`	indirect
npm	call-bind-apply-helpers	`1.0.2`	indirect
npm	combined-stream	`1.0.8`	indirect
npm	debug	`4.4.3`	indirect
npm	delayed-stream	`1.0.0`	indirect
npm	dunder-proto	`1.0.1`	indirect
npm	es-define-property	`1.0.1`	indirect
npm	es-errors	`1.3.0`	indirect
npm	es-object-atoms	`1.1.1`	indirect
npm	es-set-tostringtag	`2.1.0`	indirect
npm	follow-redirects	`1.16.1`	indirect
npm	form-data	`4.0.6`	indirect
npm	function-bind	`1.1.2`	indirect
npm	get-intrinsic	`1.3.0`	indirect
npm	get-proto	`1.0.1`	indirect
npm	glob	`13.0.6`	indirect
npm	gopd	`1.2.0`	indirect
npm	has-symbols	`1.1.0`	indirect
npm	has-tostringtag	`1.0.2`	indirect
npm	hasown	`2.0.4`	indirect
npm	https-proxy-agent	`5.0.1`	indirect
npm	lru-cache	`11.2.7`	indirect
npm	math-intrinsics	`1.1.0`	indirect
npm	mime-db	`1.52.0`	indirect
npm	mime-types	`2.1.35`	indirect
npm	minimatch	`10.2.4`	indirect
npm	minipass	`7.1.3`	indirect
npm	ms	`2.1.3`	indirect
npm	package-json-from-dist	`1.0.1`	indirect
npm	path-scurry	`2.0.2`	indirect
npm	proxy-from-env	`2.1.0`	indirect
npm	rimraf	`6.1.3`	indirect
npm	sax	`1.6.0`	indirect
npm	serverless	`4.33.0`	indirect
npm	tunnel	`0.0.6`	indirect
npm	xml2js	`0.6.2`	indirect
npm	xmlbuilder	`11.0.1`	indirect
PyPI	accessible-pygments	`0.0.5`	indirect
PyPI	alabaster	`0.7.16`	indirect
PyPI	algo-trading-alpaca	`0.1.0`	indirect
PyPI	alpaca-py	`—`	indirect
PyPI	alpaca-py	`0.43.2`	indirect
PyPI	annotated-types	`0.6.0`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	apeye	`1.4.1`	indirect
PyPI	apeye-core	`1.1.5`	indirect
PyPI	autodocsumm	`0.2.15`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	backports-asyncio-runner	`1.2.0`	indirect
PyPI	beautifulsoup4	`4.15.0`	indirect
PyPI	black	`26.10.1`	indirect
PyPI	boto3	`1.42.78`	indirect
PyPI	botocore	`1.42.78`	indirect
PyPI	cachecontrol	`0.14.4`	indirect
PyPI	certifi	`2026.10.19`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	charset-normalizer	`3.3.2`	indirect
PyPI	charset-normalizer	`3.4.6`	indirect
PyPI	click	`8.4.2`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	dict2css	`0.6.0`	indirect
PyPI	distlib	`0.4.3`	indirect
PyPI	docutils	`0.21.2`	indirect
PyPI	domdf-python-tools	`3.10.0`	indirect
PyPI	enum-tools	`0.13.0`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	filelock	`3.29.4`	indirect
PyPI	furo	`2025.12.19`	indirect
PyPI	html5lib	`1.1`	indirect
PyPI	identify	`2.6.19`	indirect
PyPI	idna	`3.15`	indirect
PyPI	imagesize	`1.5.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	isort	`9.0.2`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jmespath	`1.1.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`—`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	natsort	`8.4.0`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	numpy	`—`	indirect
PyPI	numpy	`1.26.4`	indirect
PyPI	numpy	`2.2.6`	indirect
PyPI	packaging	`26.0`	indirect
PyPI	packaging	`26.2`	indirect
PyPI	pathspec	`1.1.1`	indirect
PyPI	platformdirs	`4.10.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	pre-commit	`4.6.2`	indirect
PyPI	pydantic-core	`2.41.5`	indirect
PyPI	pydantic-core	`2.50.1`	indirect
PyPI	pygments	`2.20.0`	indirect
PyPI	pytest	`9.0.3`	indirect
PyPI	pytest	`9.1.1`	indirect
PyPI	pytest-asyncio	`1.4.0`	indirect
PyPI	pytest-mock	`3.15.1`	indirect
PyPI	python-dateutil	`—`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-discovery	`1.6.1`	indirect
PyPI	python-dotenv	`—`	indirect
PyPI	pytokens	`0.4.1`	indirect
PyPI	pytz	`—`	indirect
PyPI	pytz	`2026.1.post1`	indirect
PyPI	pytz	`2026.3.post1`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	requests-mock	`1.12.1`	indirect
PyPI	roman	`5.2`	indirect
PyPI	ruamel-yaml	`0.19.1`	indirect
PyPI	s3transfer	`0.16.0`	indirect
PyPI	six	`1.16.0`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	snowballstemmer	`3.1.1`	indirect
PyPI	soupsieve	`2.9`	indirect
PyPI	sphinx	`8.1.3`	indirect
PyPI	sphinx-autodoc-typehints	`1.23.0`	indirect
PyPI	sphinx-basic-ng	`1.0.0b2`	indirect
PyPI	sphinx-copybutton	`0.5.2`	indirect
PyPI	sphinx-jinja2-compat	`0.4.1`	indirect
PyPI	sphinx-prompt	`1.5.0`	indirect
PyPI	sphinx-tabs	`3.4.7`	indirect
PyPI	sphinx-toolbox	`4.3.1`	indirect
PyPI	sphinxcontrib-applehelp	`2.0.0`	indirect
PyPI	sphinxcontrib-devhelp	`2.0.0`	indirect
PyPI	sphinxcontrib-htmlhelp	`2.1.0`	indirect
PyPI	sphinxcontrib-jsmath	`1.0.1`	indirect
PyPI	sphinxcontrib-qthelp	`2.0.0`	indirect
PyPI	sphinxcontrib-serializinghtml	`2.0.0`	indirect
PyPI	standard-imghdr	`3.10.14`	indirect
PyPI	tabulate	`0.10.0`	indirect
PyPI	tinycss2	`1.5.1`	indirect
PyPI	tomli	`2.4.1`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	typing-inspection	`0.4.4`	indirect
PyPI	tzdata	`2024.1`	indirect
PyPI	tzdata	`2025.3`	indirect
PyPI	urllib3	`2.8.0`	indirect
PyPI	virtualenv	`21.7.13`	indirect
PyPI	webencodings	`0.5.1`	indirect

Dependency advisories 0

Installing pypi:alpaca-py@0.44.0 pulls in 19 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.

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.

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

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