Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-22 01:12 UTC

wherobots / wherobots-python-dbapi

Python DB-API implementation for Wherobots DB

PythonApache-2.0★ 5 stars⑂ 5 forkssince Mar 2024View on GitHub ↗

wherobots/wherobots-python-dbapi holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Vitality (89/100) and lowest on Community & Adoption (52/100). It was last updated today. A single contributor accounts for most of its recent work.

86
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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

WherobotsOrganization · verified domain
168 followers43 public repossince Oct 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIwherobots-python-dbapi0.30.114,590490 days ago

Metrics by category

Vitality

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

89Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
17.3/36Commit cadence — 25/52 weeks with commits
18/18Commit volume — 104 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year104
human_commit_share1
days_since_last_push0
active_weeks_last_year25

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 18 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~29.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count18
latest_release_tagv0.30.0
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases29.7
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?

52Moderate · 17% of overall
How it's scored
9.8/60Stars — 5 stars
5/25Forks — 5 forks
3.9/15Watchers — 6 watchers
Inputs used
forks5
stars5
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateyes
How it's scored
55.5/80Monthly downloads — 14,590 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageswherobots-python-dbapi
dependents—
ecosystemspypi
total_downloads—
monthly_downloads14,590
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?

76Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
10.4/22.5Commit distribution — top contributor authored 54% of commits
13.5/13.5Contributor breadth — 13 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled13
top_contributor_share0.536
How it's scored
31.5/42Issue resolution — 75% of issues closed
27.3/30PR acceptance — 71/78 decided PRs merged
13/13Newcomer PR acceptance — 7/7 first-time contributors' PRs merged in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 10/11 approved changesets -- score normalized to 9
Inputs used
merged_prs71
open_issues1
closed_issues3
prs_merged_7d7
prs_decided_7d7
prs_merged_30d11
prs_decided_30d11
issue_closed_ratio0.75
closed_unmerged_prs7
first_time_authors_30d3
first_time_prs_merged_30d7
first_time_prs_decided_30d7
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
16/25Owner reach — 168 followers of wherobots
22/25Track record — 43 public repos, account ~5 yr old
Inputs used
followers168
owner_typeOrganization
is_verifiedyes
owner_loginwherobots
public_repos43
account_age_days1,840

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 49 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageswherobots-python-dbapi
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

81Excellent · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.pylint])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 10 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
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://wherobots.com
10/10Repository description
10/10Topics — 3 topics
0/10Wiki
Inputs used
topicssedonadb, wherobots, python-dbapi
has_wikino
homepagehttps://wherobots.com
docs_sitehttps://wherobots.com
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

56Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 10 out of 11 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-Review — Found 10/11 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 8 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
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
0/7.5Vulnerabilities — 28 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.8
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.
How it's scored
9.3/35Direct dependencies free of known advisories — 4 affected: cbor2 5.8.0 (high 7.5), pyarrow 23.0.0 (high 7.0), sqlparse 0.5.5 (high 7.5), +1 more
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
26.7/40No advisories left outstanding — 3 advisory-carrying package(s) unaddressed past 90 days; oldest published 246 days ago
Inputs used
sourceosv
advisories49
affected_packages10
assessed_packages48
unassessed_packages0
affected_by_severityhigh 6, moderate 3, low 1
direct_affected_packages4
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 48 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.

54Moderate · 4% of overall
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://wherobots.com/llms.txt)
40/40Legible commit history — 95 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://wherobots.com/llms.txt
legible_history_share0.95
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.pylint])
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 11 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.11
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
52.7/55Manageable file sizes — 1/24 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes61,397
source_files_sampled24
oversized_source_files1

Key facts

5GitHub stars
13contributors
104commits, last 12 months
0days since last push
18releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:wherobots-python-dbapi@0.30.1; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 5 ⇿
0Stars
5Forks
11Releases

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.

12345522024-072025-052026-03
Major 0Minor 10Patch 1

Each point covers 2 days.

OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 · 2026-10-22 01:11 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
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
9Code-ReviewFound 10/11 approved changesets -- score normalized to 9
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
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
0Vulnerabilities28 existing vulnerabilities detected
Direct dependencies 11
RegistryPackageVersion constraintManifest
PyPIpackaging—pyproject.toml
PyPIrequests>=2.31.0pyproject.toml
PyPIwebsockets>=13.0pyproject.toml
PyPItenacity>=8.2.3pyproject.toml
PyPIcbor2>=5.6.3pyproject.toml
PyPIStrEnum>=0.4.15,<0.5pyproject.toml
PyPIpyarrow>=14.0.2pyproject.toml
PyPIpandas—pyproject.toml
PyPItypes-requests>=2.31.0pyproject.toml
PyPIpandas-stubs>=2.0.3.230814pyproject.toml
PyPIsqlparse>=0.5.0pyproject.toml
All dependencies 48

Full resolved dependency set from the GitHub dependency graph: 12 direct and 36 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcbor25.8.0direct
PyPIpackaging26.0direct
PyPIpandas2.3.3direct
PyPIpandas3.0.0direct
PyPIpandas-stubs2.3.3.260113direct
PyPIpyarrow23.0.0direct
PyPIrequests2.32.5direct
PyPIsqlparse0.5.5direct
PyPIstrenum0.4.15direct
PyPItenacity9.1.2direct
PyPItypes-requests2.32.4.20260107direct
PyPIwebsockets16.0direct
PyPIcertifi2026.1.4indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIcolorama0.4.6indirect
PyPIdistlib0.4.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.20.3indirect
PyPIidentify2.6.16indirect
PyPIidna3.11indirect
PyPIiniconfig2.3.0indirect
PyPIlibrt0.7.8indirect
PyPImarkdown-it-py4.0.0indirect
PyPImdurl0.1.2indirect
PyPImypy1.19.1indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPInumpy2.2.6indirect
PyPInumpy2.4.1indirect
PyPIpathspec1.0.3indirect
PyPIplatformdirs4.5.1indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.5.1indirect
PyPIpygments2.19.2indirect
PyPIpytest9.0.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz2025.2indirect
PyPIpyyaml6.0.3indirect
PyPIrich14.3.1indirect
PyPIsix1.17.0indirect
PyPItomli2.4.0indirect
PyPItypes-pytz2025.2.0.20251108indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2025.3indirect
PyPIurllib32.6.3indirect
PyPIvirtualenv20.36.1indirect
PyPIwherobots-python-dbapi0.30.1indirect
Dependency advisories 10

This repository publishes no package the index resolves, so its own dependency graph was assessed — 48 packages, which also include development and test pins that never ship: 10 carry known advisories, of which 4 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
cbor25.8.0directhigh25.9.0
pyarrow23.0.0directhigh223.0.1
sqlparse0.5.5directhigh100.6.0
certifi2026.1.4indirecthigh22026.10.19
urllib32.6.3indirecthigh102.8.0
virtualenv20.36.1indirecthigh1521.14.9
requests2.32.5directmoderate22.33.0
idna3.11indirectmoderate23.15
pytest9.0.2indirectmoderate29.0.3
pygments2.19.2indirectlow22.20.0

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.