Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-24 06:23 UTC

ibis-project / ibis

the portable Python dataframe library

PythonApache-2.0★ 6,679 stars⑂ 781 forkssince Apr 2015View on GitHub ↗

#python #impala #pandas #database #clickhouse #postgresql #sqlite #mysql #datafusion #sql #pyspark #duckdb #bigquery #pyarrow #mssql #polars #snowflake #trino

ibis-project/ibis holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Community & Adoption (95/100) and lowest on Security (66/100). 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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

Ibis ProjectOrganization · verified domain

311 followers24 public repossince Apr 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	Tags
PyPI	ibis-framework	12.0.0	3,309,457	166	258 days ago	bigquery clickhouse database datafusion duckdb expressions impala mssql mysql pandas polars postgresql pyarrow pyspark singlestoredb snowflake sql sqlite trino

Metrics by category

Vitality

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

82Excellent · 21% of overall

Development activity

90Excellent

How it's scored

36/36	Push recency — last push 0 days ago
25.6/36	Commit cadence — 37/52 weeks with commits
18/18	Commit volume — 253 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	253
human_commit_share	0.71
days_since_last_push	0
active_weeks_last_year	37

Release discipline

70Good

How it's scored

27/27	Ships releases — 36 releases published
16.2/36	Release recency — latest release 258 days ago
27/27	Release cadence — a release every ~37.9 days
0/10	OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.

Inputs used

releases_count	36
latest_release_tag	12.0.0
releases_from_tags	no
days_since_latest_release	258
mean_days_between_releases	37.9

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

95Exceptional · 17% of overall

Popularity & adoption

95Exceptional

How it's scored

60/60	Stars — 6,679 stars
24.1/25	Forks — 781 forks
10.7/15	Watchers — 85 watchers

Inputs used

forks	781
stars	6,679
watchers	85
growth_state	organic
growth_factor_pct	100

Community health

92Excellent

How it's scored

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

Inputs used

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

Ecosystem adoption (downloads)

100Exceptional

How it's scored

80/80	Monthly downloads — 3,309,457 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	ibis-framework
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	3,309,457
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?

73Good · 23% of overall

Maintainer resilience (bus factor)

42Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
9.9/22.5	Commit distribution — top contributor authored 56% of commits
13.5/13.5	Contributor breadth — 94 contributors
10/10	OpenSSF Scorecard: Contributors — project has 71 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	94
top_contributor_share	0.562

Issue & PR responsiveness

79Good

How it's scored

37.2/42	Issue resolution — 88% of issues closed
24.8/30	PR acceptance — 6,755/8,182 decided PRs merged
2.2/13	Newcomer PR acceptance — 3/18 first-time contributors' PRs merged in 30d
15/15	OpenSSF Scorecard: Code-Review — all changesets reviewed

Inputs used

merged_prs	6,755
open_issues	411
closed_issues	3,177
prs_merged_7d	4
prs_decided_7d	5
prs_merged_30d	14
prs_decided_30d	42
issue_closed_ratio	0.885
closed_unmerged_prs	1,427
first_time_authors_30d	8
first_time_prs_merged_30d	3
first_time_prs_decided_30d	18

Ownership & stewardship

90Excellent

How it's scored

30/30	Ownership backing — organization-owned
20/20	Verified domain
17.9/25	Owner reach — 311 followers of ibis-project
22.2/25	Track record — 24 public repos, account ~9 yr old

Inputs used

followers	311
owner_type	Organization
is_verified	yes
owner_login	ibis-project
public_repos	24
account_age_days	3,480

Package maintenance

91Excellent

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
26/35	Publish recency — latest publish 258 days ago
20/20	Version history — 166 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	ibis-framework
ecosystems	pypi
any_deprecated	no
min_days_since_publish	258

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 27 workflow(s)
24/24	Tests present
16/16	Linter config — pyproject.toml ([tool.ruff])
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	yes

Documentation

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://ibis-project.org
10/10	Repository description
10/10	Topics — 18 topics
0/10	Wiki

Inputs used

topics	python, impala, pandas, database, clickhouse, postgresql, sqlite, mysql, datafusion, sql, pyspark, duckdb, bigquery, pyarrow, mssql, polars, snowflake, trino
has_wiki	no
homepage	https://ibis-project.org
docs_site	https://ibis-project.org
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?

66Good · 16% of overall

Security posture

57Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — no data
2.5/2.5	CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
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 71 contributing companies or organizations
0/10	Dangerous-Workflow — 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 8 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
5/5	SAST — SAST tool is run on all commits
5/5	Security-Policy — security policy file detected
0/7.5	Signed-Releases — Project has not signed or included provenance with any releases.
3/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5	Vulnerabilities — 226 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	5.7

Excluded from scoring (no data or not applicable): Branch-Protection. 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	8
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:ibis-framework@12.0.0 runtime dependency closure — what installing the published package pulls in — 8 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.

67Good · 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 — 69 of 71 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.972
agent_instruction_files	—
agent_instruction_max_bytes	—

Verify loop (build / test / typecheck)

79Good

How it's scored

18/18	One-command bootstrap — justfile
22/22	Automated tests
11/11	Lint / format config — pyproject.toml ([tool.ruff])
0/11	Static type checking
10/10	Reproducible environment — devcontainer, Dockerfile, Nix, lockfile
10/10	Demonstrated agent practice — 7 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 29 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	yes
has_tests	yes
lockfiles	uv.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	justfile
has_devcontainer	yes
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0.07
toolchain_manifests	—
dependency_bot_commit_share	0.29

Code legibility for models

54Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
53.5/55	Manageable file sizes — 17/625 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	294,106
source_files_sampled	625
oversized_source_files	17

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, sample

Inputs used

example_dirs	examples, sample
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

6,679GitHub stars

94contributors

253commits, last 12 months

0days since last push

36releases

1bus factor

411open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Star history carried forward from 2026-07-20: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 6679 stars today.
First-time contributor figures cover 12 of 15 authors (cap 12)

More detail

Star and fork history 6,603 ★ / 781 ⇿

6,603Stars

781Forks

36Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

Star history is shown as collected on 2026-07-20. 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.

Major 10Minor 22Patch 4

Each point covers 11 days.

OpenSSF Scorecard 5.7 / 10

5.7aggregate

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 · 2026-10-24 06:22 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
10	CI-Tests	26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
10	Code-Review	all changesets reviewed
10	Contributors	project has 71 contributing companies or organizations
0	Dangerous-Workflow	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 8 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
10	SAST	SAST tool is run on all commits
10	Security-Policy	security policy file detected
0	Signed-Releases	Project has not signed or included provenance with any releases.
4	Token-Permissions	detected GitHub workflow tokens with excessive permissions
0	Vulnerabilities	226 existing vulnerabilities detected

Direct dependencies 7

Registry	Package	Version constraint	Manifest
PyPI	atpublic	`>=2.3`	pyproject.toml
PyPI	parsy	`>=2`	pyproject.toml
PyPI	python-dateutil	`>=2.8.2`	pyproject.toml
PyPI	sqlglot	`>=23.4,!=26.32.0`	pyproject.toml
PyPI	toolz	`>=0.11`	pyproject.toml
PyPI	typing-extensions	`>=4.3.0`	pyproject.toml
PyPI	tzdata	`>=2022.7`	pyproject.toml

All dependencies 307

Full resolved dependency set from the GitHub dependency graph: 7 direct and 300 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	atpublic	`7.0.0`	direct
PyPI	parsy	`2.2`	direct
PyPI	python-dateutil	`2.9.0.post0`	direct
PyPI	sqlglot	`30.18.0`	direct
PyPI	toolz	`1.1.0`	direct
PyPI	typing-extensions	`4.15.0`	direct
PyPI	tzdata	`2025.3`	direct
PyPI	adbc-driver-manager	`1.10.0`	indirect
PyPI	aiobotocore	`3.1.1`	indirect
PyPI	aiohappyeyeballs	`2.6.1`	indirect
PyPI	aiohttp	`3.13.3`	indirect
PyPI	aioitertools	`0.13.0`	indirect
PyPI	aiosignal	`1.4.0`	indirect
PyPI	altair	`6.0.0`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	anyio	`4.12.1`	indirect
PyPI	anywidget	`0.9.21`	indirect
PyPI	appdirs	`1.4.4`	indirect
PyPI	appnope	`0.1.4`	indirect
PyPI	argon2-cffi	`25.1.0`	indirect
PyPI	argon2-cffi-bindings	`25.1.0`	indirect
PyPI	arro3-compute	`0.6.5`	indirect
PyPI	arro3-core	`0.6.5`	indirect
PyPI	arro3-io	`0.6.5`	indirect
PyPI	arrow	`1.4.0`	indirect
PyPI	asn1crypto	`1.5.1`	indirect
PyPI	asttokens	`3.0.1`	indirect
PyPI	async-lru	`2.1.0`	indirect
PyPI	async-timeout	`5.0.1`	indirect
PyPI	attrs	`25.4.0`	indirect
PyPI	aws-error-utils	`2.7.0`	indirect
PyPI	aws-sso-lib	`1.14.0`	indirect
PyPI	aws-sso-util	`4.33.0`	indirect
PyPI	babel	`2.18.0`	indirect
PyPI	beartype	`0.22.9`	indirect
PyPI	beautifulsoup4	`4.14.3`	indirect
PyPI	bitarray	`3.8.0`	indirect
PyPI	black	`26.1.0`	indirect
PyPI	bleach	`6.3.0`	indirect
PyPI	boto3	`1.42.30`	indirect
PyPI	botocore	`1.42.30`	indirect
PyPI	certifi	`2026.1.4`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	cfgv	`3.5.0`	indirect
PyPI	chardet	`5.2.0`	indirect
PyPI	charset-normalizer	`3.4.4`	indirect
PyPI	click	`8.3.1`	indirect
PyPI	clickhouse-connect	`0.10.0`	indirect
PyPI	cloudpickle	`3.1.2`	indirect
PyPI	codespell	`2.4.1`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	comm	`0.2.3`	indirect
PyPI	contourpy	`1.3.2`	indirect
PyPI	contourpy	`1.3.3`	indirect
PyPI	coverage	`7.13.3`	indirect
PyPI	cryptography	`46.0.4`	indirect
PyPI	cycler	`0.12.1`	indirect
PyPI	databackend	`0.0.3`	indirect
PyPI	databricks-sql-connector	`4.2.4`	indirect
PyPI	datafusion	`53.0.0`	indirect
PyPI	db-dtypes	`1.5.0`	indirect
PyPI	debugpy	`1.8.20`	indirect
PyPI	decorator	`5.2.1`	indirect
PyPI	defusedxml	`0.7.1`	indirect
PyPI	deltalake	`1.4.1`	indirect
PyPI	deprecated	`1.3.1`	indirect
PyPI	distlib	`0.4.0`	indirect
PyPI	doit	`0.36.0`	indirect
PyPI	duckdb	`1.4.4`	indirect
PyPI	et-xmlfile	`2.0.0`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	execnet	`2.1.2`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastjsonschema	`2.21.2`	indirect
PyPI	filelock	`3.20.3`	indirect
PyPI	fonttools	`4.61.1`	indirect
PyPI	fqdn	`1.5.1`	indirect
PyPI	frozenlist	`1.8.0`	indirect
PyPI	fsspec	`2026.1.0`	indirect
PyPI	gcsfs	`2026.1.0`	indirect
PyPI	geoarrow-rust-core	`0.6.1`	indirect
PyPI	geoarrow-types	`0.3.0`	indirect
PyPI	geopandas	`1.1.2`	indirect
PyPI	google-api-core	`2.29.0`	indirect
PyPI	google-auth	`2.48.0`	indirect
PyPI	google-auth-oauthlib	`1.2.4`	indirect
PyPI	google-cloud-bigquery	`3.40.0`	indirect
PyPI	google-cloud-bigquery-storage	`2.36.0`	indirect
PyPI	google-cloud-core	`2.5.0`	indirect
PyPI	google-cloud-storage	`3.9.0`	indirect
PyPI	google-cloud-storage-control	`1.9.0`	indirect
PyPI	google-crc32c	`1.8.0`	indirect
PyPI	google-resumable-media	`2.8.0`	indirect
PyPI	googleapis-common-protos	`1.72.0`	indirect
PyPI	graphviz	`0.21`	indirect
PyPI	greenlet	`3.3.1`	indirect
PyPI	griffe	`1.15.0`	indirect
PyPI	grpc-google-iam-v1	`0.14.3`	indirect
PyPI	grpcio	`1.76.0`	indirect
PyPI	grpcio-status	`1.76.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpx	`0.28.1`	indirect
PyPI	humanize	`4.15.0`	indirect
PyPI	hypothesis	`6.151.4`	indirect
PyPI	ibis-framework	`12.0.0`	indirect
PyPI	identify	`2.6.16`	indirect
PyPI	idna	`3.11`	indirect
PyPI	importlib-metadata	`8.7.1`	indirect
PyPI	importlib-resources	`6.5.2`	indirect
PyPI	impyla	`0.22.0`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	ipykernel	`7.1.0`	indirect
PyPI	ipython	`8.38.0`	indirect
PyPI	ipython	`9.10.0`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	ipywidgets	`8.1.8`	indirect
PyPI	isoduration	`20.11.0`	indirect
PyPI	itables	`2.6.2`	indirect
PyPI	jedi	`0.19.2`	indirect
PyPI	jinja2	`3.1.6`	indirect
PyPI	jmespath	`1.1.0`	indirect
PyPI	joblib	`1.5.3`	indirect
PyPI	json5	`0.13.0`	indirect
PyPI	jsonpointer	`3.0.0`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	jupyter-cache	`1.0.1`	indirect
PyPI	jupyter-client	`8.8.0`	indirect
PyPI	jupyter-core	`5.9.1`	indirect
PyPI	jupyter-events	`0.12.0`	indirect
PyPI	jupyter-lsp	`2.3.0`	indirect
PyPI	jupyter-server	`2.17.0`	indirect
PyPI	jupyter-server-terminals	`0.5.4`	indirect
PyPI	jupyterlab	`4.5.3`	indirect
PyPI	jupyterlab-night	`0.5.2`	indirect
PyPI	jupyterlab-pygments	`0.3.0`	indirect
PyPI	jupyterlab-server	`2.28.0`	indirect
PyPI	jupyterlab-widgets	`3.0.16`	indirect
PyPI	jupyterlite-core	`0.7.1`	indirect
PyPI	jupyterlite-pyodide-kernel	`0.7.0`	indirect
PyPI	kiwisolver	`1.4.9`	indirect
PyPI	lark	`1.3.1`	indirect
PyPI	lonboard	`0.13.0`	indirect
PyPI	lz4	`4.4.5`	indirect
PyPI	markdown-it-py	`4.0.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib	`3.10.8`	indirect
PyPI	matplotlib-inline	`0.2.1`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	mistune	`3.2.0`	indirect
PyPI	mizani	`0.14.4`	indirect
PyPI	multidict	`6.7.1`	indirect
PyPI	mypy-extensions	`1.1.0`	indirect
PyPI	narwhals	`2.16.0`	indirect
PyPI	nbclient	`0.10.4`	indirect
PyPI	nbconvert	`7.17.0`	indirect
PyPI	nbformat	`5.10.4`	indirect
PyPI	nest-asyncio	`1.6.0`	indirect
PyPI	nodeenv	`1.10.0`	indirect
PyPI	notebook-shim	`0.2.4`	indirect
PyPI	numpy	`2.2.6`	indirect
PyPI	numpy	`2.4.2`	indirect
PyPI	oauthlib	`3.3.1`	indirect
PyPI	openpyxl	`3.1.5`	indirect
PyPI	oracledb	`3.4.2`	indirect
PyPI	orjson	`3.11.7`	indirect
PyPI	overrides	`7.7.0`	indirect
PyPI	packaging	`26.0`	indirect
PyPI	pandas	`2.3.3`	indirect
PyPI	pandas-gbq	`0.33.0`	indirect
PyPI	pandocfilters	`1.5.1`	indirect
PyPI	parsimonious	`0.11.0`	indirect
PyPI	parso	`0.8.5`	indirect
PyPI	pathspec	`1.0.4`	indirect
PyPI	patsy	`1.0.2`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	pillow	`12.1.0`	indirect
PyPI	pins	`0.9.0`	indirect
PyPI	pkginfo	`1.12.1.2`	indirect
PyPI	platformdirs	`4.5.1`	indirect
PyPI	plotly	`6.5.2`	indirect
PyPI	plotnine	`0.15.3`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	plum-dispatch	`2.6.1`	indirect
PyPI	polars	`2.0.0`	indirect
PyPI	polars-runtime-32	`2.0.0`	indirect
PyPI	pprintpp	`0.4.0`	indirect
PyPI	pre-commit	`4.5.1`	indirect
PyPI	prometheus-client	`0.24.1`	indirect
PyPI	prompt-toolkit	`3.0.52`	indirect
PyPI	propcache	`0.4.1`	indirect
PyPI	proto-plus	`1.27.1`	indirect
PyPI	protobuf	`6.33.5`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	psycopg	`3.3.2`	indirect
PyPI	psycopg2	`2.9.11`	indirect
PyPI	psygnal	`0.15.1`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.3`	indirect
PyPI	pure-sasl	`0.6.2`	indirect
PyPI	py-cpuinfo	`9.0.0`	indirect
PyPI	py4j	`0.10.9.9`	indirect
PyPI	pyarrow	`23.0.0`	indirect
PyPI	pyarrow-hotfix	`0.7`	indirect
PyPI	pyasn1	`0.6.2`	indirect
PyPI	pyasn1-modules	`0.4.2`	indirect
PyPI	pyathena	`3.26.0`	indirect
PyPI	pybreaker	`1.4.1`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic	`2.12.5`	indirect
PyPI	pydantic-core	`2.41.5`	indirect
PyPI	pydata-google-auth	`1.9.1`	indirect
PyPI	pydruid	`0.6.9`	indirect
PyPI	pyexasol	`1.3.0`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pyinstrument	`5.1.2`	indirect
PyPI	pyjwt	`2.11.0`	indirect
PyPI	pyodbc	`5.3.0`	indirect
PyPI	pyogrio	`0.12.1`	indirect
PyPI	pyopenssl	`25.3.0`	indirect
PyPI	pyparsing	`3.3.2`	indirect
PyPI	pyproj	`3.7.1`	indirect
PyPI	pyproj	`3.7.2`	indirect
PyPI	pyspark	`4.0.1`	indirect
PyPI	pystack	`1.6.0`	indirect
PyPI	pytest	`8.3.5`	indirect
PyPI	pytest-benchmark	`5.2.3`	indirect
PyPI	pytest-clarity	`1.0.1`	indirect
PyPI	pytest-cov	`7.0.0`	indirect
PyPI	pytest-deadfixtures	`2.2.1`	indirect
PyPI	pytest-mock	`3.15.1`	indirect
PyPI	pytest-pystack	`1.0.2`	indirect
PyPI	pytest-randomly	`4.0.1`	indirect
PyPI	pytest-repeat	`0.9.4`	indirect
PyPI	pytest-snapshot	`0.9.0`	indirect
PyPI	pytest-timeout	`2.4.0`	indirect
PyPI	pytest-xdist	`3.8.0`	indirect
PyPI	python-json-logger	`4.0.0`	indirect
PyPI	pytokens	`0.4.1`	indirect
PyPI	pytz	`2025.2`	indirect
PyPI	pywinpty	`3.0.2`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	pyzmq	`27.1.0`	indirect
PyPI	quartodoc	`0.11.1`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	regex	`2026.1.15`	indirect
PyPI	requests	`—`	indirect
PyPI	requests	`2.32.5`	indirect
PyPI	requests-oauthlib	`2.0.0`	indirect
PyPI	rfc3339-validator	`0.1.4`	indirect
PyPI	rfc3986-validator	`0.1.1`	indirect
PyPI	rfc3987-syntax	`1.1.0`	indirect
PyPI	rich	`14.3.2`	indirect
PyPI	rpds-py	`0.30.0`	indirect
PyPI	rsa	`4.9.1`	indirect
PyPI	ruff	`0.15.0`	indirect
PyPI	s3fs	`2026.1.0`	indirect
PyPI	s3transfer	`0.16.0`	indirect
PyPI	scikit-learn	`1.7.2`	indirect
PyPI	scikit-learn	`1.8.0`	indirect
PyPI	scipy	`1.15.3`	indirect
PyPI	scipy	`1.17.0`	indirect
PyPI	seaborn	`0.13.2`	indirect
PyPI	send2trash	`2.1.0`	indirect
PyPI	setuptools	`80.10.2`	indirect
PyPI	shapely	`2.1.2`	indirect
PyPI	singlestoredb	`1.16.8`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	snowflake-connector-python	`4.2.0`	indirect
PyPI	sortedcontainers	`2.4.0`	indirect
PyPI	soupsieve	`2.8.3`	indirect
PyPI	sphobjinv	`2.3.1.3`	indirect
PyPI	sqlalchemy	`2.0.46`	indirect
PyPI	sqlparams	`6.2.0`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	statsmodels	`0.14.6`	indirect
PyPI	streamlit	`—`	indirect
PyPI	tabulate	`0.9.0`	indirect
PyPI	tenacity	`9.1.2`	indirect
PyPI	terminado	`0.18.1`	indirect
PyPI	threadpoolctl	`3.6.0`	indirect
PyPI	thrift	`0.16.0`	indirect
PyPI	thrift-sasl	`0.4.3`	indirect
PyPI	tinycss2	`1.4.0`	indirect
PyPI	tomli	`2.4.0`	indirect
PyPI	tomlkit	`0.14.0`	indirect
PyPI	tornado	`6.5.4`	indirect
PyPI	tqdm	`4.67.2`	indirect
PyPI	traitlets	`5.14.3`	indirect
PyPI	trino	`0.336.0`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	tzlocal	`5.3.1`	indirect
PyPI	uri-template	`1.3.0`	indirect
PyPI	urllib3	`2.6.3`	indirect
PyPI	virtualenv	`20.36.1`	indirect
PyPI	watchdog	`6.0.0`	indirect
PyPI	wcwidth	`0.5.3`	indirect
PyPI	webcolors	`25.10.0`	indirect
PyPI	webencodings	`0.5.1`	indirect
PyPI	websocket-client	`1.8.0`	indirect
PyPI	widgetsnbextension	`4.0.15`	indirect
PyPI	wrapt	`2.1.1`	indirect
PyPI	xxhash	`3.6.0`	indirect
PyPI	yarl	`1.22.0`	indirect
PyPI	zipp	`3.23.0`	indirect
PyPI	zstandard	`0.25.0`	indirect

Dependency advisories 0

Installing pypi:ibis-framework@12.0.0 pulls in 8 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

Related records