Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 19:49 UTC

ibis-project / ibis

the portable Python dataframe library

PythonApache-2.0★ 6,645 stars⑂ 755 forkssince Apr 2015View on GitHub ↗
KindPluginLibraryhow this is determined
#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 (65/100). It was last updated 1 day ago. A single contributor accounts 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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

Ibis ProjectOrganization · verified domain
309 followers24 public repossince Apr 2017

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIibis-framework12.0.03,934,210166201 days agobigqueryclickhousedatabasedatafusionduckdbexpressionsimpalamssqlmysqlpandaspolarspostgresqlpyarrowpysparksinglestoredbsnowflakesqlsqlitetrino

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
36/36Push recency — last push 1 days ago
26.3/36Commit cadence — 38/52 weeks with commits
18/18Commit volume — 304 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year304
human_commit_share0.75
days_since_last_push1
active_weeks_last_year38

Release discipline

70Good
How it's scored
27/27Ships releases — 36 releases published
16.2/36Release recency — latest release 201 days ago
27/27Release cadence — a release every ~37.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count36
latest_release_tag12.0.0
releases_from_tagsno
days_since_latest_release201
mean_days_between_releases37.9

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
60/60Stars — 6,645 stars
24/25Forks — 755 forks
10.7/15Watchers — 86 watchers
Inputs used
forks755
stars6,645
watchers86
growth_stateorganic
growth_factor_pct100

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
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_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

100Exceptional
How it's scored
80/80Monthly downloads — 3,934,210 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesibis-framework
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,934,210
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?

74Good · 23% of overall

Maintainer resilience (bus factor)

42Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
9.8/22.5Commit distribution — top contributor authored 56% of commits
13.5/13.5Contributor breadth — 94 contributors
10/10OpenSSF Scorecard: Contributors — project has 71 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled94
top_contributor_share0.564

Issue & PR responsiveness

83Excellent
How it's scored
37.2/42Issue resolution — 89% of issues closed
24.9/30PR acceptance — 6,722/8,104 decided PRs merged
7.4/13Newcomer PR acceptance — 4/7 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 12/13 approved changesets -- score normalized to 9
Inputs used
merged_prs6,722
open_issues406
closed_issues3,166
prs_merged_7d1
prs_decided_7d1
prs_merged_30d7
prs_decided_30d12
issue_closed_ratio0.886
closed_unmerged_prs1,382
first_time_authors_30d6
first_time_prs_merged_30d4
first_time_prs_decided_30d7

Ownership & stewardship

90Excellent
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
17.9/25Owner reach — 309 followers of ibis-project
22.2/25Track record — 24 public repos, account ~9 yr old
Inputs used
followers309
owner_typeOrganization
is_verifiedyes
owner_loginibis-project
public_repos24
account_age_days3,423

Package maintenance

91Excellent
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
26/35Publish recency — latest publish 201 days ago
20/20Version history — 166 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesibis-framework
ecosystemspypi
any_deprecatedno
min_days_since_publish201

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 27 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 25 out of 25 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://ibis-project.org
10/10Repository description
10/10Topics — 18 topics
0/10Wiki
Inputs used
topicspython, impala, pandas, database, clickhouse, postgresql, sqlite, mysql, datafusion, sql, pyspark, duckdb, bigquery, pyarrow, mssql, polars, snowflake, trino
has_wikino
homepagehttps://ibis-project.org
docs_sitehttps://ibis-project.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

65Good · 16% of overall

Security posture

56Moderate
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 — 25 out of 25 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
6.8/7.5Code-Review — Found 12/13 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 71 contributing companies or organizations
0/10Dangerous-Workflow — 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 8 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
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 — Project has not signed or included provenance with any releases.
3/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 118 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.6
Excluded from scoring (no data or not applicable): Branch-Protection. 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_packages8
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: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.

66Good · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 73 of 75 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.973
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

77Good
How it's scored
18/18One-command bootstrap — justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — devcontainer, Dockerfile, Nix, lockfile
8/10Demonstrated agent practice — 4 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_nixyes
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesjustfile
has_devcontaineryes
has_linter_configyes
typecheck_configs—
agent_commit_share0.04
toolchain_manifests—
dependency_bot_commit_share0.25

Code legibility for models

53Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.4/55Manageable file sizes — 18/626 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes294,106
source_files_sampled626
oversized_source_files18

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 — examples, sample
Inputs used
example_dirsexamples, sample
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

6,645GitHub stars
94contributors
304commits, last 12 months
1days since last push
36releases
1bus factor
406open 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 6645 stars today.

More detail

Star and fork history 6,603 ★ / 755 ⇿
6,603Stars
755Forks
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.

01,2502,5003,7505,0006,2507,5006,603740492015-072021-022026-08
Major 10Minor 22Patch 4

Each point covers 11 days.

OpenSSF Scorecard 5.6 / 10
5.6aggregate

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 19:48 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-Tests25 out of 25 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 12/13 approved changesets -- score normalized to 9
10Contributorsproject has 71 contributing companies or organizations
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
4Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities118 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIatpublic>=2.3pyproject.toml
PyPIparsy>=2pyproject.toml
PyPIpython-dateutil>=2.8.2pyproject.toml
PyPIsqlglot>=23.4,!=26.32.0pyproject.toml
PyPItoolz>=0.11pyproject.toml
PyPItyping-extensions>=4.3.0pyproject.toml
PyPItzdata>=2022.7pyproject.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.

RegistryPackageVersionRelation
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PyPIpytest-snapshot0.9.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-json-logger4.0.0indirect
PyPIpytokens0.4.1indirect
PyPIpytz2025.2indirect
PyPIpywinpty3.0.2indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIquartodoc0.11.1indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.1.15indirect
PyPIrequests—indirect
PyPIrequests2.32.5indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich14.3.2indirect
PyPIrpds-py0.30.0indirect
PyPIrsa4.9.1indirect
PyPIruff0.15.0indirect
PyPIs3fs2026.1.0indirect
PyPIs3transfer0.16.0indirect
PyPIscikit-learn1.7.2indirect
PyPIscikit-learn1.8.0indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.0indirect
PyPIseaborn0.13.2indirect
PyPIsend2trash2.1.0indirect
PyPIsetuptools80.10.2indirect
PyPIshapely2.1.2indirect
PyPIsinglestoredb1.16.8indirect
PyPIsix1.17.0indirect
PyPIsnowflake-connector-python4.2.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.8.3indirect
PyPIsphobjinv2.3.1.3indirect
PyPIsqlalchemy2.0.46indirect
PyPIsqlparams6.2.0indirect
PyPIstack-data0.6.3indirect
PyPIstatsmodels0.14.6indirect
PyPIstreamlit—indirect
PyPItabulate0.9.0indirect
PyPItenacity9.1.2indirect
PyPIterminado0.18.1indirect
PyPIthreadpoolctl3.6.0indirect
PyPIthrift0.16.0indirect
PyPIthrift-sasl0.4.3indirect
PyPItinycss21.4.0indirect
PyPItomli2.4.0indirect
PyPItomlkit0.14.0indirect
PyPItornado6.5.4indirect
PyPItqdm4.67.2indirect
PyPItraitlets5.14.3indirect
PyPItrino0.336.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzlocal5.3.1indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.6.3indirect
PyPIvirtualenv20.36.1indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.5.3indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.8.0indirect
PyPIwidgetsnbextension4.0.15indirect
PyPIwrapt2.1.1indirect
PyPIxxhash3.6.0indirect
PyPIyarl1.22.0indirect
PyPIzipp3.23.0indirect
PyPIzstandard0.25.0indirect
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

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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.