Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-22 17:51 UTC

ApoorvaKashyap / core-lens

Geospatial analysis library for CoreStack data. Query microwatersheds, run spatial statistics, and visualise Earth science datasets across time and administrative boundaries.

PythonGPL-3.0★ 0 stars⑂ 0 forkssince May 2026View on GitHub ↗
KindLibraryhow this is determined
#corestack#geoparquet#geospatial#geospatial-analysis#geospatial-visualization

ApoorvaKashyap/core-lens holds a health index of 59 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (91/100) and lowest on Community & Adoption (40/100). It was last updated 6 days ago. A single contributor accounts for most of its recent work.

59
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.

59
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 56 is calibrated to 59 on the published index scale (record calibration 2026-08-02).

Ownership

Apoorva KashyapPersonal account
2 followers26 public repossince Jul 2017

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIcore-lens0.1.dev203901796 days ago

Metrics by category

Vitality

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

45Weak · 21% of overall

Development activity

75Good
How it's scored
36/36Push recency — last push 6 days ago
11.1/36Commit cadence — 16/52 weeks with commits
18/18Commit volume — 203 commits in the last year
10/10OpenSSF Scorecard: Maintained — 27 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year203
human_commit_share1
days_since_last_push6
active_weeks_last_year16

Release discipline

1Critical
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no 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

Popularity & adoption

1Critical
How it's scored
0/60Stars — 0 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

77Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-3.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

49Weak
How it's scored
39.4/80Monthly downloads — 901 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagescore-lens
dependents—
ecosystemspypi
total_downloads—
monthly_downloads901
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?

53Moderate · 23% of overall

Maintainer resilience (bus factor)

10Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

74Good
How it's scored
42/42Issue resolution — 100% of issues closed
0/30PR acceptance — no decided pull requests or no data
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs0
open_issues0
closed_issues1
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
closed_unmerged_prs0
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): PR acceptance, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

45Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
3.4/25Owner reach — 2 followers of ApoorvaKashyap
22.4/25Track record — 26 public repos, account ~9 yr old
Inputs used
followers2
owner_typeUser
is_verified—
owner_loginApoorvaKashyap
public_repos26
account_age_days3,377
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 6 days ago
20/20Version history — 79 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagescore-lens
ecosystemspypi
any_deprecatedno
min_days_since_publish6

Engineering Quality

Are baseline engineering and documentation practices in place?

91Excellent · 19% of overall

Engineering practices

92Excellent
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://apoorvakashyap.github.io/core-lens/
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicscorestack, geoparquet, geospatial, geospatial-analysis, geospatial-visualization
has_wikino
homepagehttps://apoorvakashyap.github.io/core-lens/
docs_sitehttps://apoorvakashyap.github.io/core-lens/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

46Weak · 16% of overall

Security posture

33At Risk
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
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
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 — 27 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
0/5SAST — no SAST tool detected
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 — 45 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.3
Excluded from scoring (no data or not applicable): CI-Tests, 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
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories46
affected_packages4
assessed_packages178
unassessed_packages0
affected_by_severitycritical 1, high 3
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 178 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.

70Good · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 100 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

77Good
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/core_lens/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/core_lens/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 (src/core_lens/py.typed)
55/55Manageable file sizes — 0/55 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes56,409
source_files_sampled55
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 — examples
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

0GitHub stars
1contributors
203commits, last 12 months
6days since last push
0releases
1bus factor
0open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 3.3 / 10
3.3aggregate

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 · 2026-10-22 17:51 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained27 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities45 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIcore-lens—pyproject.toml
PyPIcore-lens—pyproject.toml
All dependencies 178

Full resolved dependency set from the GitHub dependency graph: 0 direct and 178 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalabaster1.0.0indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIanywidget0.11.0indirect
PyPIarro3-compute0.9.1indirect
PyPIarro3-core0.9.1indirect
PyPIarro3-io0.9.1indirect
PyPIast-serialize0.13.0indirect
PyPIastroid4.3.4indirect
PyPIasttokens3.0.2indirect
PyPIawscrt0.37.0indirect
PyPIbabel2.18.0indirect
PyPIbokeh3.10.1indirect
PyPIboolean-py5.0indirect
PyPIcachecontrol0.14.4indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.5.2indirect
PyPIclick8.5.0indirect
PyPIclick-option-group0.5.9indirect
PyPIcloudpickle3.1.2indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcontourpy1.4.0indirect
PyPIcoverage7.16.2indirect
PyPIcryptography50.0.2indirect
PyPIcycler0.12.1indirect
PyPIcyclonedx-python-lib11.12.0indirect
PyPIdefusedxml0.7.1indirect
PyPIdeprecated1.3.1indirect
PyPIdistlib0.4.3indirect
PyPIdocutils0.22.4indirect
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PyPIduckdb1.5.6indirect
PyPIexecuting2.3.0indirect
PyPIfaker40.43.0indirect
PyPIfilelock4.1.1indirect
PyPIfonttools4.66.1indirect
PyPIformulaic1.2.2indirect
PyPIgeoarrow-rust-core0.6.3indirect
PyPIgeopandas1.2.0indirect
PyPIgitdb4.0.12indirect
PyPIgitpython3.2.0indirect
PyPIh110.16.0indirect
PyPIid1.6.1indirect
PyPIidentify2.6.20indirect
PyPIidna3.20indirect
PyPIimagesize2.0.1indirect
PyPIiniconfig2.3.1indirect
PyPIinterface-meta2.0.1indirect
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PyPIipython-pygments-lexers1.1.1indirect
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PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjedi0.20.1indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjupyterlab-widgets3.0.17indirect
PyPIkeyring25.7.0indirect
PyPIkiwisolver1.5.1indirect
PyPIlibrt0.16.0indirect
PyPIlicense-expression30.4.4indirect
PyPIloguru0.7.3indirect
PyPIlonboard0.17.0indirect
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PyPImatplotlib3.11.2indirect
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PyPImypy2.4.0indirect
PyPImypy-extensions1.1.0indirect
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PyPInh30.3.7indirect
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PyPInumpy2.5.4indirect
PyPInumpy-typing-compat20260602.2.5indirect
PyPInvidia-ml-py13.615.71indirect
PyPIoptype0.19.0indirect
PyPIpackageurl-python0.17.6indirect
PyPIpackaging26.3indirect
PyPIpandas3.0.6indirect
PyPIpandas-stubs3.0.5.260914indirect
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PyPIpatsy1.0.3indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.3.0indirect
PyPIpip26.2.1indirect
PyPIpip-api0.0.35indirect
PyPIpip-audit2.10.1indirect
PyPIpip-requirements-parser32.0.1indirect
PyPIplatformdirs4.13.0indirect
PyPIpluggy1.6.0indirect
PyPIpolars2.0.0indirect
PyPIpolars-runtime-322.0.0indirect
PyPIpre-commit4.7.0indirect
PyPIprompt-toolkit3.0.53indirect
PyPIpsutil7.2.2indirect
PyPIpsygnal0.16.1indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.4indirect
PyPIpy-serializable2.1.0indirect
PyPIpyarrow24.0.0indirect
PyPIpycparser3.11indirect
PyPIpydantic2.14.1indirect
PyPIpydantic-core2.50.1indirect
PyPIpygments2.21.0indirect
PyPIpygments-styles0.3.0indirect
PyPIpyogrio0.13.0indirect
PyPIpyparsing3.3.3indirect
PyPIpyproj3.8.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.6.2indirect
PyPIpython-gitlab8.6.0indirect
PyPIpython-semantic-release10.7.0indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer46.0indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIruff0.17.0indirect
PyPIscalene2.3.0indirect
PyPIscipy1.18.1indirect
PyPIscipy-stubs1.18.1.1indirect
PyPIsecretstorage3.5.0indirect
PyPIshapely2.2.0indirect
PyPIshellingham1.5.4indirect
PyPIshibuya2026.7.12indirect
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PyPIsmmap5.0.3indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-autoapi3.8.1indirect
PyPIsphinx-autobuild2025.8.25indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstack-data0.6.3indirect
PyPIstarlette1.8.0indirect
PyPIstatsmodels0.15.0indirect
PyPItomli2.5.0indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.15.1indirect
PyPItornado6.5.10indirect
PyPItraitlets5.16.1indirect
PyPItwine7.0.0indirect
PyPItypes-geopandas1.1.4.20261006indirect
PyPItypes-shapely2.1.0.20260728indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.5indirect
PyPIurllib32.8.0indirect
PyPIuvicorn0.54.0indirect
PyPIvirtualenv21.14.7indirect
PyPIwatchfiles1.3.0indirect
PyPIwcwidth0.9.2indirect
PyPIwebsockets17.2indirect
PyPIwidgetsnbextension4.0.16indirect
PyPIwin32-setctime1.2.0indirect
PyPIwrapt2.5.1indirect
PyPIxyzservices2026.9.1indirect
Dependency advisories 4

This repository publishes no package the index resolves, so its own dependency graph was assessed — 178 packages, which also include development and test pins that never ship: 4 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow12.3.0indirectcritical3913.0.0
certifi2026.7.22indirecthigh22026.10.19
gitpython3.2.0indirecthigh13.2.1
virtualenv21.14.7indirecthigh421.14.9

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

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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.