Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 07:11 UTC

datastax / astrapy

AstraPy is a Pythonic interface for DataStax Astra DB and the Data API

PythonApache-2.0★ 39 stars⑂ 31 forkssince Apr 2021View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

datastax/astrapy holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (82/100) and lowest on Security (55/100). It was last updated today. 2 contributors account for most of its recent work.

88
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.

88
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).

Ownership

DataStaxOrganization
585 followers133 public repossince Jan 2011

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIastrapy2.3.1253,7956369 days agoastraastra-dbdatastax

Metrics by category

Vitality

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

78Good · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
13.2/36Commit cadence — 19/52 weeks with commits
15/18Commit volume — 46 commits in the last year
10/10OpenSSF Scorecard: Maintained — 11 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year46
human_commit_share1
days_since_last_push0
active_weeks_last_year19
How it's scored
27/27Ships releases — 53 releases published
36/36Release recency — latest release 69 days ago
19.8/27Release cadence — a release every ~62.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count53
latest_release_tagv2.3.1
releases_from_tagsno
days_since_latest_release69
mean_days_between_releases62.9

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

69Good · 17% of overall
How it's scored
25.6/60Stars — 39 stars
12.3/25Forks — 31 forks
3.3/15Watchers — 5 watchers
Inputs used
forks31
stars39
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
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
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno
How it's scored
72.1/80Monthly downloads — 253,795 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesastrapy
dependents—
ecosystemspypi
total_downloads—
monthly_downloads253,795
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?

79Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.7/22.5Commit distribution — top contributor authored 39% of commits
13.5/13.5Contributor breadth — 15 contributors
10/10OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled15
top_contributor_share0.39
How it's scored
40.7/42Issue resolution — 97% of issues closed
26.3/30PR acceptance — 264/301 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 17/30 approved changesets -- score normalized to 5
Inputs used
merged_prs264
open_issues4
closed_issues125
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.969
closed_unmerged_prs37
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
19.9/25Owner reach — 585 followers of datastax
25/25Track record — 133 public repos, account ~15 yr old
Inputs used
followers585
owner_typeOrganization
is_verifiedno
owner_logindatastax
public_repos133
account_age_days5,719

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 69 days ago
20/20Version history — 63 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesastrapy
ecosystemspypi
any_deprecatedno
min_days_since_publish69

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall
How it's scored
24/24CI workflows — 7 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 — 29 out of 29 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
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://github.com/datastax/astrapy
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicspython, datastax, stargate, astradb
has_wikino
homepagehttps://github.com/datastax/astrapy
docs_sitehttps://github.com/datastax/astrapy
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

55Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 29 out of 29 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
3.8/7.5Code-Review — Found 17/30 approved changesets -- score normalized to 5
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 — 11 commit(s) and 1 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
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4.4

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_packages32
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:astrapy@2.3.1 runtime dependency closure — what installing the published package pulls in — 32 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.

78Good · 4% of overall
How it's scored
45/45Agent instructions — .bob/rules-advance/AGENTS.md, .bob/rules-ask/AGENTS.md, .bob/rules-code/AGENTS.md, .bob/rules-plan/AGENTS.md, AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 91 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.91
agent_instruction_files.bob/rules-advance/AGENTS.md, .bob/rules-ask/AGENTS.md, .bob/rules-code/AGENTS.md, .bob/rules-plan/AGENTS.md, AGENTS.md
agent_instruction_max_bytes3,471
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — astrapy/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configsastrapy/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (astrapy/py.typed)
52.7/55Manageable file sizes — 9/218 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes280,341
source_files_sampled218
oversized_source_files9

Key facts

39GitHub stars
15contributors
46commits, last 12 months
0days since last push
53releases
2bus factor
4open 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 ★ / 31 ⇿
0Stars
31Forks
50Releases

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.

01325383122021-072024-022026-08
Major 2Minor 12Patch 32

Each point covers 5 days.

OpenSSF Scorecard 4.4 / 10
4.4aggregate

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 · 2026-09-17 07:10 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 17/30 approved changesets -- score normalized to 5
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
10Maintained11 commit(s) and 1 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
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPIdeprecation~= 2.1.0pyproject.toml
PyPIhttpx>=0.25.2,<1pyproject.toml
PyPIh11>= 0.16.0pyproject.toml
PyPIipython>= 8.0.0pyproject.toml
PyPIpymongo>= 3pyproject.toml
PyPItoml>= 0.10.2,<1.0.0pyproject.toml
PyPItyping-extensions>= 4.0pyproject.toml
PyPIuuid6>= 2024.1.12pyproject.toml
All dependencies 85

Full resolved dependency set from the GitHub dependency graph: 9 direct and 76 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdeprecation2.1.0direct
PyPIh110.16.0direct
PyPIhttpx0.25.2direct
PyPIipython8.37.0direct
PyPIipython9.6.0direct
PyPIpymongo4.13.0direct
PyPItoml0.10.2direct
PyPItyping-extensions4.13.2direct
PyPIuuid62024.7.10direct
PyPIanyio4.9.0indirect
PyPIastrapy2.3.1indirect
PyPIasttokens3.0.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIblockbuster1.5.24indirect
PyPIbuild1.2.2.post1indirect
PyPIcassandra-driver3.29.2indirect
PyPIcassio0.1.10indirect
PyPIcertifi2025.4.26indirect
PyPIcfgv3.4.0indirect
PyPIcharset-normalizer3.4.2indirect
PyPIclick8.2.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.0.5indirect
PyPIdecorator5.2.1indirect
PyPIdistlib0.3.9indirect
PyPIdnspython2.7.0indirect
PyPIdocker7.1.0indirect
PyPIexceptiongroup1.3.0indirect
PyPIexecuting2.2.1indirect
PyPIfaker23.1.0indirect
PyPIfilelock3.24.3indirect
PyPIforbiddenfruit0.1.4indirect
PyPIgeomet0.2.1.post1indirect
PyPIh24.3.0indirect
PyPIhpack4.1.0indirect
PyPIhttpcore1.0.9indirect
PyPIhyperframe6.1.0indirect
PyPIidentify2.6.10indirect
PyPIidna3.18indirect
PyPIimportlib-metadata8.7.0indirect
PyPIiniconfig2.1.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIjedi0.19.2indirect
PyPImarkupsafe3.0.2indirect
PyPImatplotlib-inline0.2.1indirect
PyPImypy1.9.0indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.9.1indirect
PyPInumpy2.2.6indirect
PyPIpackaging25.0indirect
PyPIparso0.8.5indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.3.8indirect
PyPIpluggy1.5.0indirect
PyPIpre-commit3.5.0indirect
PyPIprompt-toolkit3.0.52indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpygments2.20.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov4.1.0indirect
PyPIpytest-httpserver1.0.12indirect
PyPIpytest-testdox3.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpywin32310indirect
PyPIpyyaml6.0.2indirect
PyPIrequests2.34.2indirect
PyPIruff0.11.9indirect
PyPIsetuptools80.7.1indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIstack-data0.6.3indirect
PyPItestcontainers3.7.1indirect
PyPItomli2.2.1indirect
PyPItraitlets5.14.3indirect
PyPItypes-toml0.10.8.20240310indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv20.38.0indirect
PyPIwcwidth0.2.14indirect
PyPIwerkzeug3.1.6indirect
PyPIwrapt1.17.2indirect
PyPIzipp3.21.0indirect
Dependency advisories 0

Installing pypi:astrapy@2.3.1 pulls in 32 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.

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.