Public record
Software health reportschema 0.16.0 · metrics 2.10.0 · 2026-07-20 17:54 UTC

Kotlin / dataframe

Kotlin DataFrame: typesafe in-memory structured data processing for JVM

KotlinApache-2.0★ 1,052 stars⑂ 82 forkssince Apr 2020View on GitHub ↗

Kotlin/dataframe holds a health index of 34 out of 100, placing it in the At Risk band. It scores highest on Vitality (97/100) and lowest on Security (33/100). It was last updated today. 2 contributors account for most of its recent work.

34
overall / 100
At Risk

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.

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)
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02). High-Risk Jurisdiction Policy applies a 50% multiplier to weighted overall health and gives it an At Risk ceiling of 34.

Ownership

KotlinOrganization
3,374 followers139 public repossince Feb 2012

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

Metrics by category

Vitality

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

97Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recencylast push 0 days ago
36/36Commit cadence52/52 weeks with commits
18/18Commit volume1,629 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,629
human_commit_share
days_since_last_push0
active_weeks_last_year52
How it's scored
27/27Ships releases14 releases published
36/36Release recencylatest release 74 days ago
19.8/27Release cadencea release every ~111.5 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count14
latest_release_tagv1.0.0-Beta5
releases_from_tagsno
days_since_latest_release74
mean_days_between_releases111.5
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?

78Good · 17% of overall
How it's scored
49/60Stars1,052 stars
15.9/25Forks82 forks
6/15Watchers13 watchers
Inputs used
forks82
stars1,052
watchers13
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

76Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
15.2/22.5Commit distributiontop contributor authored 32% of commits
13.5/13.5Contributor breadth50 contributors
10/10OpenSSF Scorecard: Contributorsproject has 6 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled50
top_contributor_share0.325
How it's scored
27.6/42Issue resolution66% of issues closed
28/30PR acceptance894/959 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 2/12 approved changesets -- score normalized to 1
Inputs used
merged_prs894
open_issues310
closed_issues590
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.656
closed_unmerged_prs65
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
25/25Owner reach3,374 followers of Kotlin
25/25Track record139 public repos, account ~14 yr old
Inputs used
followers3,374
owner_typeOrganization
is_verified
owner_loginKotlin
public_repos139
account_age_days5,267
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows7 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests5 out of 5 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://kotlin.github.io/dataframe/home.html
10/10Repository description
10/10Topics4 topics
10/10Wiki
Inputs used
topicsdataframe, data-science, kotlin, data-analysis
has_wikiyes
homepagehttps://kotlin.github.io/dataframe/home.html
docs_sitehttps://kotlin.github.io/dataframe/home.html
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

33At Risk · 16% of overall
How it's scored
0/7.5Binary-Artifactsbinaries present in source code
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests5 out of 5 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-ReviewFound 2/12 approved changesets -- score normalized to 1
2.5/2.5Contributorsproject has 6 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
1.5/7.5Vulnerabilities8 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.2
high_risk_jurisdiction_cap34
high_risk_jurisdiction_multiplier50
security_posture_after_multiplier16
security_posture_before_jurisdiction32
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized. High-Risk Jurisdiction Policy applies a 50% multiplier and gives Security posture an At risk ceiling of 34.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages9
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 9 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

51Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checkingKotlin (statically typed)
10/10Reproducible environmentdevcontainer
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageyes
bootstrap_files
has_devcontaineryes
has_linter_configno
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
45/45Type-checkable codeKotlin (statically typed)
54.3/55Manageable file sizes21/1,577 source files over 60KB
Inputs used
primary_languageKotlin
largest_source_bytes494,446
source_files_sampled1,577
oversized_source_files21
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexample, examples, notebooks, samples
Inputs used
example_dirsexample, examples, notebooks, samples
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

1,052GitHub stars
50contributors
1,629commits, last 12 months
0days since last push
14releases
2bus factor
310open issues
Mavenpackage ecosystems

More detail

OpenSSF Scorecard 3.2 / 10
3.2aggregate

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 · 2026-07-20 17:53 UTC

0Binary-Artifactsbinaries present in source code
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-Tests5 out of 5 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 2/12 approved changesets -- score normalized to 1
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 13 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
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
2Vulnerabilities8 existing vulnerabilities detected
All dependencies 9

Full resolved dependency set from the GitHub dependency graph: 0 direct and 9 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
Mavencom.pinterest.ktlint:ktlint-cli1.8.0indirect
Mavenorg.codehaus.mojo:exec-maven-plugin3.6.3indirect
Mavenorg.jetbrains.kotlin:kotlin-maven-dataframe2.4.0indirect
Mavenorg.jetbrains.kotlin:kotlin-maven-plugin2.4.0indirect
Mavenorg.jetbrains.kotlin:kotlin-test-junit52.4.0indirect
Mavenorg.jetbrains.kotlinx:dataframe1.0.0-Beta5indirect
Mavenorg.jetbrains.kotlinx:dataframe1.0.0-devindirect
Mavenorg.jetbrains.kotlinx:kandy-lets-plot0.8.5-dev-100indirect
Mavenorg.junit.jupiter:junit-jupiter5.10.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 9 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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.

The message is kept through sign-in.

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 v0.16.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics.