Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-20 00:46 UTC

opendatacube / odc-stac

Load STAC items into xarray Datasets.

PythonApache-2.0★ 203 stars⑂ 29 forkssince Oct 2021View on GitHub ↗
KindLibraryhow this is determined

opendatacube/odc-stac holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (86/100) and lowest on Community & Adoption (60/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

87
overall / 100
Excellent

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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

Open Data CubeOrganization
317 followers53 public repossince Mar 2017

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIodc-stac0.5.387,7884651 days ago

Metrics by category

Vitality

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

84Excellent · 21% of overall

Development activity

78Good
How it's scored
36/36Push recency — last push 1 days ago
15.2/36Commit cadence — 22/52 weeks with commits
16.3/18Commit volume — 65 commits in the last year
10/10OpenSSF Scorecard: Maintained — 24 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year65
human_commit_share0.87
days_since_last_push1
active_weeks_last_year22

Release discipline

92Excellent
How it's scored
27/27Ships releases — 24 releases published
36/36Release recency — latest release 52 days ago
19.8/27Release cadence — a release every ~101 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count24
latest_release_tagv0.5.3
releases_from_tagsno
days_since_latest_release52
mean_days_between_releases101
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?

60Moderate · 17% of overall

Popularity & adoption

55Moderate
How it's scored
37.4/60Stars — 203 stars
12.1/25Forks — 29 forks
5.8/15Watchers — 12 watchers
Inputs used
forks29
stars203
watchers12
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

82Excellent
How it's scored
65.9/80Monthly downloads — 87,788 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesodc-stac
dependents—
ecosystemspypi
total_downloads—
monthly_downloads87,788
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?

70Good · 23% of overall

Maintainer resilience (bus factor)

37Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4.2/22.5Commit distribution — top contributor authored 82% of commits
13.5/13.5Contributor breadth — 24 contributors
10/10OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled24
top_contributor_share0.815

Issue & PR responsiveness

83Excellent
How it's scored
36/42Issue resolution — 86% of issues closed
27.1/30PR acceptance — 147/163 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
9/15OpenSSF Scorecard: Code-Review — Found 6/9 approved changesets -- score normalized to 6
Inputs used
merged_prs147
open_issues18
closed_issues107
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.856
closed_unmerged_prs16
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.

Ownership & stewardship

73Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
18/25Owner reach — 317 followers of opendatacube
24.6/25Track record — 53 public repos, account ~9 yr old
Inputs used
followers317
owner_typeOrganization
is_verifiedno
owner_loginopendatacube
public_repos53
account_age_days3,489

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 51 days ago
20/20Version history — 46 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesodc-stac
ecosystemspypi
any_deprecatedno
min_days_since_publish51

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.pylint])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 16 out of 16 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://odc-stac.readthedocs.io/
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://odc-stac.readthedocs.io/
docs_sitehttps://odc-stac.readthedocs.io/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

61Moderate · 16% of overall

Security posture

51Moderate
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 — 16 out of 16 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
4.5/7.5Code-Review — Found 6/9 approved changesets -- score normalized to 6
2.5/2.5Contributors — project has 12 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 24 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3/7.5Vulnerabilities — 6 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. 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_packages49
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:odc-stac@0.5.3 runtime dependency closure — what installing the published package pulls in — 49 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.

72Good · 4% of overall

Agent context & guidance

43Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://code.visualstudio.com/llms.txt)
28.2/40Legible commit history — 46 of 87 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://code.visualstudio.com/llms.txt
legible_history_share0.529
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

79Good
How it's scored
18/18One-command bootstrap — docs/Makefile, notebooks/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.pylint])
11/11Static type checking — odc/stac/py.typed
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile, notebooks/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configsodc/stac/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (odc/stac/py.typed)
55/55Manageable file sizes — 0/28 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes38,085
source_files_sampled28
oversized_source_files0

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 — samples
Inputs used
example_dirssamples
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

203GitHub stars
24contributors
65commits, last 12 months
1days since last push
24releases
1bus factor
18open issues
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 ★ / 29 ⇿
0Stars
29Forks
21Releases

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.

0510152025302922021-102024-032026-09
Major 0Minor 2Patch 17

Each point covers 5 days.

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-09-20 00:46 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-Tests16 out of 16 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 6/9 approved changesets -- score normalized to 6
10Contributorsproject has 12 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained24 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
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
4Vulnerabilities6 existing vulnerabilities detected
Direct dependencies 11
RegistryPackageVersion constraintManifest
PyPIaffine—pyproject.toml
PyPIodc-geo>=0.5.0pyproject.toml
PyPIodc-loader>=0.6.4pyproject.toml
PyPIrasterio>=1.0.0,!=1.3.0,!=1.3.1pyproject.toml
PyPIdask—pyproject.toml
PyPInumpy>=1.20.0pyproject.toml
PyPIpandas—pyproject.toml
PyPIpystac>=1.0.0,<2pyproject.toml
PyPItoolz—pyproject.toml
PyPItyping-extensions—pyproject.toml
PyPIxarray>=0.19pyproject.toml
All dependencies 150

Full resolved dependency set from the GitHub dependency graph: 22 direct and 128 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaffine2.4.0direct
PyPIdask2026.6.0direct
PyPInumpy—direct
PyPInumpy2.2.6direct
PyPInumpy2.4.6direct
PyPInumpy2.5.0direct
PyPIodc-geo—direct
PyPIodc-geo0.5.1direct
PyPIodc-loader—direct
PyPIodc-loader0.6.4direct
PyPIpandas2.3.3direct
PyPIpandas3.0.3direct
PyPIpystac—direct
PyPIpystac1.14.3direct
PyPIrasterio—direct
PyPIrasterio1.4.4direct
PyPIrasterio1.5.0direct
PyPItoolz1.1.0direct
PyPItyping-extensions4.15.0direct
PyPIxarray—direct
PyPIxarray2025.6.1direct
PyPIxarray2026.4.0direct
PyPIalabaster1.0.0indirect
PyPIappnope0.1.4indirect
PyPIasttokens3.0.1indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIbleach6.4.0indirect
PyPIbotocore1.43.36indirect
PyPIcachetools7.1.4indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.4.2indirect
PyPIclick-plugins1.1.1.2indirect
PyPIcligj0.7.2indirect
PyPIcloudpickle3.1.2indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcoverage7.14.3indirect
PyPIdebugpy1.8.21indirect
PyPIdecorator5.3.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdistributed2026.6.0indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.21.2indirect
PyPIfish—indirect
PyPIflit-core—indirect
PyPIfsspec2026.6.0indirect
PyPIgeopandas1.1.3indirect
PyPIgit—indirect
PyPIgraphviz—indirect
PyPIhtop—indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel7.3.0indirect
PyPIipython8.39.0indirect
PyPIipython9.14.1indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.20.0indirect
PyPIjinja23.1.6indirect
PyPIjmespath1.1.0indirect
PyPIjq—indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-client8.9.1indirect
PyPIjupyter-core5.9.1indirect
PyPIjupyterlab-pygments0.3.0indirect
PyPIlocket1.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.2indirect
PyPImistune3.3.2indirect
PyPImsgpack1.2.1indirect
PyPInbclient0.11.0indirect
PyPInbconvert7.17.1indirect
PyPInbformat5.10.4indirect
PyPInbsphinx0.9.8indirect
PyPInest-asyncio21.7.2indirect
PyPIodc-stac0.5.3indirect
PyPIpackaging26.2indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.7indirect
PyPIpartd1.4.2indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser3.0indirect
PyPIpygments2.20.0indirect
PyPIpyogrio0.12.1indirect
PyPIpyparsing3.3.2indirect
PyPIpyproj3.7.1indirect
PyPIpyproj3.7.2indirect
PyPIpystac-client0.9.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz2026.2indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.1.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIroman-numerals4.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.5.1indirect
PyPIruff0.15.19indirect
PyPIshapely2.1.2indirect
PyPIsilversearcher-ag—indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.8.4indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-autodoc-typehints3.0.1indirect
PyPIsphinx-autodoc-typehints3.11.0indirect
PyPIsphinx-autodoc-typehints3.6.1indirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jquery4.1indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPIstackstac0.5.0indirect
PyPItblib3.2.2indirect
PyPItig—indirect
PyPItinycss21.5.1indirect
PyPItomli2.4.1indirect
PyPItornado6.5.7indirect
PyPItraitlets5.15.1indirect
PyPItzdata2026.2indirect
PyPIurllib32.7.0indirect
PyPIwcwidth0.8.1indirect
PyPIwebencodings0.5.1indirect
PyPIzict3.0.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:odc-stac@0.5.3 pulls in 49 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.

The message is kept through sign-in.

Related records

Inspected repositories sharing catalogue tags or ecosystems with opendatacube/odc-stac. Read them side by side →

100apache/arrowApache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analyticsExceptional100scikit-learn/scikit-learnscikit-learn: machine learning in PythonExceptional100deepset-ai/haystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.Exceptional100aws/serverless-application-modelThe AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.Exceptional100envoyproxy/envoyCloud-native high-performance edge/middle/service proxyExceptional100uxlfoundation/oneDNNoneAPI Deep Neural Network Library (oneDNN)Exceptional

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.