Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-05 20:40 UTC

datalayer / core

☰ ⭕ Datalayer Core - Python and TypeScript clients for Datalayer.

TypeScript · PythonCustom license★ 17 stars⑂ 3 forkssince Jun 2022View on GitHub ↗
KindLibraryCommand-line toolWeb interfaceMCP serverNetwork servicehow this is determined

datalayer/core holds a health index of 65 out of 100, placing it in the Good band. It scores highest on Engineering Quality (96/100) and lowest on Community & Adoption (40/100). It was last updated today. A single contributor accounts for most of its recent work.

65
overall / 100
Good

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.

65
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 60 is calibrated to 65 on the published index scale (record calibration 2026-08-02).

Ownership

DatalayerOrganization
124 followers45 public repossince Jul 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
npm@datalayer/core1.1.662,186540 days agodatalayeraidatajupyterreactrunstorybook
PyPIdatalayer_core1.1.665,233921 day ago

Metrics by category

Vitality

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

47Weak · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
22.2/36Commit cadence32/52 weeks with commits
17.1/18Commit volume79 commits in the last year
3/10OpenSSF Scorecard: Maintained2 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 3
Inputs used
commits_last_year79
human_commit_share0.98
days_since_last_push0
active_weeks_last_year32
How it's scored
0/27Ships releasesno releases published
0/36Release recencyno releases
0/27Release cadenceno releases
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count0
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?

40Weak · 17% of overall
How it's scored
19.5/60Stars17 stars
2.5/25Forks3 forks
0/15Watchers1 watchers
Inputs used
forks3
stars17
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno
How it's scored
51.6/80Monthly downloads7,419 downloads/month across npm, pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packages@datalayer/core, datalayer_core
dependents
ecosystemsnpm, pypi
total_downloads
monthly_downloads7,419
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?

64Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
5.6/22.5Commit distributiontop contributor authored 75% of commits
5.4/13.5Contributor breadth4 contributors
10/10OpenSSF Scorecard: Contributorsproject has 19 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled4
top_contributor_share0.752
How it's scored
36.9/42Issue resolution88% of issues closed
24.6/30PR acceptance151/184 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 3/30 approved changesets -- score normalized to 1
Inputs used
merged_prs151
open_issues6
closed_issues43
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d1
issue_closed_ratio0.878
closed_unmerged_prs33
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
15.1/25Owner reach124 followers of datalayer
24.1/25Track record45 public repos, account ~13 yr old
Inputs used
followers124
owner_typeOrganization
is_verifiedno
owner_logindatalayer
public_repos45
account_age_days4,801

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable2 package(s) on npm, pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history92 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packages@datalayer/core, datalayer_core
ecosystemsnpm, pypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows10 workflow(s)
24/24Tests present
16/16Linter configeslint.config.js, pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests17 out of 17 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://core.datalayer.tech
10/10Repository description
10/10Topics5 topics
10/10Wiki
Inputs used
topicsdatalayer, python, open-science, platform, core
has_wikiyes
homepagehttps://core.datalayer.tech
docs_sitehttps://core.datalayer.tech
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

50Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
2.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests17 out of 17 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 3/30 approved changesets -- score normalized to 1
2.5/2.5Contributorsproject has 19 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
2.2/7.5Maintained2 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 3
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
4/5SASTSAST tool is not run on all commits -- score normalized to 8
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.3
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.
How it's scored
10.2/35Direct dependencies free of known advisories2 affected: @toon-format/toon 1.4.0 (high 8.3), echarts 5.6.0 (moderate 6.1)
4.9/25Indirect dependencies free of known advisories6 affected: lodash-es 4.17.21 (high 8.1), nanoid 3.3.3 (high 7.5), nanoid 4.0.2 (high 7.5), +3 more
23.1/40No advisories left outstanding4 advisory-carrying package(s) unaddressed past 90 days; oldest published 635 days ago
Inputs used
sourceosv
advisories19
affected_packages8
assessed_packages1,283
unassessed_packages0
affected_by_severityhigh 4, moderate 4
direct_affected_packages2
Matched the npm:@datalayer/core@1.1.66 runtime dependency closure — what installing the published package pulls in — 1283 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
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history91 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.929
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile, docs/Makefile, examples/otel/Makefile
22/22Automated tests
11/11Lint / format configeslint.config.js, pyproject.toml ([tool.ruff])
11/11Static type checkingexamples/otel/ui/tsconfig.json, tsconfig.json
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance2 of the last 100 commits are automated dependency updates
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_filesMakefile, docs/Makefile, examples/otel/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsexamples/otel/ui/tsconfig.json, tsconfig.json
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.02
How it's scored
45/45Type-checkable codeTypeScript (statically typed)
54.6/55Manageable file sizes4/533 source files over 60KB
Inputs used
primary_languageTypeScript
largest_source_bytes271,133
source_files_sampled533
oversized_source_files4
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examplesexamples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalyes
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

17GitHub stars
4contributors
79commits, last 12 months
0days since last push
0releases
1bus factor
6open issues
npm, 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 ★ / 3 ⇿
0Stars
3Forks

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.

12233312023-082024-072025-06

Each point covers 2 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 · 2026-09-05 20:40 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests17 out of 17 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 3/30 approved changesets -- score normalized to 1
10Contributorsproject has 19 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
3Maintained2 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 3
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
8SASTSAST tool is not run on all commits -- score normalized to 8
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 87
RegistryPackageVersion constraintManifest
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npm@datalayer/icons-react^1.0.7package.json
npm@datalayer/jupyter-lexical^1.0.16package.json
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PyPItraitletspyproject.toml
PyPItyperpyproject.toml
All dependencies 160

Full resolved dependency set from the GitHub dependency graph: 83 direct and 77 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIpython-dotenvindirect
PyPIuvicornindirect
Dependency advisories 8

Installing npm:@datalayer/core@1.1.66 pulls in 1,283 packages, direct and transitive: 8 carry known advisories, of which 2 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
@toon-format/toon1.4.0directhigh12.3.1
lodash-es4.17.21indirecthigh34.18.0
nanoid3.3.3indirecthigh45.1.16
nanoid4.0.2indirecthigh45.1.16
echarts5.6.0directmoderate16.1.0
@xmldom/xmldom0.9.10indirectmoderate10.9.12
react-router6.30.6indirectmoderate27.18.0
sanitize-html2.12.1indirectmoderate32.17.7

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.

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