Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-15 12:32 UTC

datalayer / code-sandboxes

{ } 📦 Code Sandboxes.

PythonBSD-3-Clause★ 4 stars⑂ 1 forksince Dec 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

datalayer/code-sandboxes holds a health index of 62 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (95/100) and lowest on Community & Adoption (40/100). It was last updated today. A single contributor accounts for most of its recent work.

62
overall / 100
Moderate

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.

62
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 58 is calibrated to 62 on the published index scale (record calibration 2026-08-02).

Ownership

DatalayerOrganization
123 followers44 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
PyPIcode_sandboxes1.0.742,752310 days agoaiai-agentcode-sandboxes

Metrics by category

Vitality

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

40Weak · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
6.2/36Commit cadence9/52 weeks with commits
14.1/18Commit volume36 commits in the last year
10/10OpenSSF Scorecard: Maintained19 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year36
human_commit_share1
days_since_last_push0
active_weeks_last_year9
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
7.7/60Stars4 stars
0/25Forks1 forks
0/15Watchers0 watchers
Inputs used
forks1
stars4
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
61.7/80Monthly downloads42,752 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagescode_sandboxes
dependents
ecosystemspypi
total_downloads
monthly_downloads42,752
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?

67Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.6/22.5Commit distributiontop contributor authored 97% of commits
2.7/13.5Contributor breadth2 contributors
10/10OpenSSF Scorecard: Contributorsproject has 8 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.973
How it's scored
33.6/42Issue resolution80% of issues closed
30/30PR acceptance11/11 decided PRs merged
13/13Newcomer PR acceptance1/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 1/30 approved changesets -- score normalized to 0
Inputs used
merged_prs11
open_issues1
closed_issues4
prs_merged_7d2
prs_decided_7d2
prs_merged_30d7
prs_decided_30d7
issue_closed_ratio0.8
closed_unmerged_prs0
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
15.1/25Owner reach123 followers of datalayer
24/25Track record44 public repos, account ~13 yr old
Inputs used
followers123
owner_typeOrganization
is_verified
owner_logindatalayer
public_repos44
account_age_days4,779
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history31 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagescode_sandboxes
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

95Exceptional · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests10 out of 11 merged PRs checked by a CI test -- score normalized to 9
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://code-sandboxes.datalayer.tech
10/10Repository description
10/10Topics2 topics
10/10Wiki
Inputs used
topicscode, sandbox
has_wikiyes
homepagehttps://code-sandboxes.datalayer.tech
docs_sitehttps://code-sandboxes.datalayer.tech
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

43Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionbranch protection not enabled on development/release branches
2.2/2.5CI-Tests10 out of 11 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 1/30 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 8 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
7.5/7.5Maintained19 commit(s) and 3 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
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.3
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

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.

58Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
28.8/40Legible commit history20 of 37 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.541
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile, docs/Makefile, examples/exec/Makefile, examples/repl/Makefile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environmentDockerfile
5.4/10Demonstrated agent practice1 of the last 37 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile, examples/exec/Makefile, examples/repl/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.027
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/61 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes28,814
source_files_sampled61
oversized_source_files0
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 examplesexamples
Inputs used
example_dirsexamples
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

4GitHub stars
2contributors
36commits, last 12 months
0days since last push
0releases
1bus factor
1open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • deps.dev does not index pypi:code_sandboxes@1.0.7; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 4.3 / 10
4.3aggregate

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 · 2026-08-15 12:32 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
9CI-Tests10 out of 11 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/30 approved changesets -- score normalized to 0
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained19 commit(s) and 3 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
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 6
RegistryPackageVersion constraintManifest
PyPIfakerpyproject.toml
PyPIjupyter-kernel-clientpyproject.toml
PyPIjupyter-serverpyproject.toml
PyPIjupyter-server-clientpyproject.toml
PyPIpydantic>=2.0pyproject.toml
PyPItyper>=0.12.0pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

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 v0.31.0 — full methodology · metrics wiki.

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