Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-11 19:24 UTC

cerfacs-globc / icclim

icclim: Python library for climate indices and climate indicators calculation.

PythonApache-2.0★ 94 stars⑂ 34 forkssince Jan 2014View on GitHub ↗
KindLibraryhow this is determined
#calculation-climate#climate-indices#python#climate-indicators#netcdf#climate-simulations#python-library#python-package#xclim#xarray#icclim

cerfacs-globc/icclim holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (93/100) and lowest on AI Readiness (53/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

89
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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

CERFACS GLOBCOrganization
12 followers11 public repossince Feb 2015

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIicclim7.1.106,9373519 days agonetcdfclimateclimate-indicesclimate-indicatorsxarray

Metrics by category

Vitality

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

90Excellent · 21% of overall

Development activity

83Excellent
How it's scored
36/36Push recency — last push 3 days ago
19.4/36Commit cadence — 28/52 weeks with commits
18/18Commit volume — 405 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year405
human_commit_share0.8
days_since_last_push3
active_weeks_last_year28

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 57 releases published
36/36Release recency — latest release 19 days ago
27/27Release cadence — a release every ~6.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count57
latest_release_tagv7.1.10
releases_from_tagsno
days_since_latest_release19
mean_days_between_releases6.9
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?

65Good · 17% of overall

Popularity & adoption

48Weak
How it's scored
31.9/60Stars — 94 stars
12.7/25Forks — 34 forks
3.9/15Watchers — 6 watchers
Inputs used
forks34
stars94
watchers6
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
0/13.5Code of conduct
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateyes
has_code_of_conductno
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

64Moderate
How it's scored
51.2/80Monthly downloads — 6,937 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesicclim
dependents—
ecosystemspypi
total_downloads—
monthly_downloads6,937
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?

66Good · 23% of overall

Maintainer resilience (bus factor)

42Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
9.5/22.5Commit distribution — top contributor authored 58% of commits
13.5/13.5Contributor breadth — 11 contributors
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled11
top_contributor_share0.577

Issue & PR responsiveness

75Good
How it's scored
37.8/42Issue resolution — 90% of issues closed
27.8/30PR acceptance — 322/347 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/2 approved changesets -- score normalized to 0
Inputs used
merged_prs322
open_issues13
closed_issues116
prs_merged_7d0
prs_decided_7d0
prs_merged_30d10
prs_decided_30d10
issue_closed_ratio0.899
closed_unmerged_prs25
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

58Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
8/25Owner reach — 12 followers of cerfacs-globc
19.9/25Track record — 11 public repos, account ~11 yr old
Inputs used
followers12
owner_typeOrganization
is_verifiedno
owner_logincerfacs-globc
public_repos11
account_age_days4,214

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 19 days ago
20/20Version history — 35 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesicclim
ecosystemspypi
any_deprecatedno
min_days_since_publish19

Engineering Quality

Are baseline engineering and documentation practices in place?

93Exceptional · 19% of overall

Engineering practices

88Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
14/20OpenSSF Scorecard: CI-Tests — 7 out of 9 merged PRs checked by a CI test -- score normalized to 7
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 site — https://icclim.readthedocs.io/en/latest/
10/10Repository description
10/10Topics — 11 topics
10/10Wiki
Inputs used
topicscalculation-climate, climate-indices, python, climate-indicators, netcdf, climate-simulations, python-library, python-package, xclim, xarray, icclim
has_wikiyes
homepagehttps://icclim.readthedocs.io/en/latest/
docs_sitehttps://icclim.readthedocs.io/en/latest/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall

Security posture

57Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
1.8/2.5CI-Tests — 7 out of 9 merged PRs checked by a CI test -- score normalized to 7
0.5/2.5CII-Best-Practices — badge detected: InProgress
0/7.5Code-Review — Found 0/2 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 5 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 9 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 — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.7
Excluded from scoring (no data or not applicable): Branch-Protection, 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_packages46
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:icclim@7.1.10 runtime dependency closure — what installing the published package pulls in — 46 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.

53Moderate · 4% of overall

Agent context & guidance

22At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
22/40Legible commit history — 33 of 80 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.412
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

59Moderate
How it's scored
18/18One-command bootstrap — doc/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.02

Code legibility for models

52Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
51.8/55Manageable file sizes — 6/103 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes407,647
source_files_sampled103
oversized_source_files6

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 — notebooks
Inputs used
example_dirsnotebooks
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

94GitHub stars
11contributors
405commits, last 12 months
3days since last push
57releases
1bus factor
13open 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 ★ / 34 ⇿
0Stars
34Forks
46Releases

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.

01325383112014-022020-032026-03
Major 3Minor 8Patch 32

Each point covers 12 days.

OpenSSF Scorecard 5.7 / 10
5.7aggregate

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 · 2026-09-11 19:23 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
7CI-Tests7 out of 9 merged PRs checked by a CI test -- score normalized to 7
2CII-Best-Practicesbadge detected: InProgress
0Code-ReviewFound 0/2 approved changesets -- score normalized to 0
10Contributorsproject has 5 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 9 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
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 15
RegistryPackageVersion constraintManifest
PyPInumpy>=1.21pyproject.toml
PyPIxarray>=2022.6.0pyproject.toml
PyPIxclim>=0.45.0pyproject.toml
PyPIcf_xarray>=0.7.4pyproject.toml
PyPIcftime>=1.5.0pyproject.toml
PyPIdask>=2022.2.0pyproject.toml
PyPInetCDF4>=1.5.7pyproject.toml
PyPIzarr>=2.11.0pyproject.toml
PyPInumcodecs>=0.10.0pyproject.toml
PyPIfsspec—pyproject.toml
PyPIpandas>=1.3.0pyproject.toml
PyPIdateparser>=1.1.0pyproject.toml
PyPIpint>=0.20pyproject.toml
PyPIjinja2>=3.0pyproject.toml
PyPItyping-extensions>=4.0pyproject.toml
All dependencies 150

Full resolved dependency set from the GitHub dependency graph: 30 direct and 120 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcf-xarray—direct
PyPIcf-xarray0.10.11direct
PyPIcftime—direct
PyPIcftime1.6.5direct
PyPIdask—direct
PyPIdask2026.1.2direct
PyPIdateparser—direct
PyPIdateparser1.3.0direct
PyPIfsspec—direct
PyPIfsspec2026.2.0direct
PyPIjinja2—direct
PyPIjinja23.1.6direct
PyPInetcdf4—direct
PyPInetcdf41.7.4direct
PyPInumcodecs—direct
PyPInumcodecs0.16.5direct
PyPInumpy—direct
PyPInumpy2.4.2direct
PyPIpandas—direct
PyPIpandas3.0.1direct
PyPIpint—direct
PyPIpint0.25.2direct
PyPItyping-extensions—direct
PyPItyping-extensions4.15.0direct
PyPIxarray—direct
PyPIxarray2026.2.0direct
PyPIxclim—direct
PyPIxclim0.60.0direct
PyPIzarr—direct
PyPIzarr3.1.5direct
PyPIaccessible-pygments0.0.5indirect
PyPIalabaster1.0.0indirect
PyPIanyio4.12.1indirect
PyPIastroid3.3.11indirect
PyPIasttokens3.0.1indirect
PyPIattrs25.4.0indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.14.3indirect
PyPIbleach6.4.0indirect
PyPIboltons25.0.0indirect
PyPIbottleneck1.6.0indirect
PyPIcertifi2026.2.25indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.3.1indirect
PyPIcloudpickle3.1.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.4indirect
PyPIdecorator5.2.1indirect
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PyPIflit-core3.12.0indirect
PyPIgoogle-crc32c1.8.0indirect
PyPIh110.16.0indirect
PyPIidentify2.6.17indirect
PyPIidna3.15indirect
PyPIimagesize1.4.1indirect
PyPIimportlib-metadata8.7.1indirect
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PyPIipython9.10.0indirect
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PyPIjoblib1.5.3indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
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PyPIlocket1.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.1indirect
PyPImistune3.3.3indirect
PyPInbclient0.10.4indirect
PyPInbconvert7.17.1indirect
PyPInbformat5.10.4indirect
PyPInbsphinx0.9.8indirect
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PyPInumba0.64.0indirect
PyPIpackaging26.0indirect
PyPIpandocfilters1.5.1indirect
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PyPIpartd1.4.2indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.9.2indirect
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PyPIpre-commit4.5.1indirect
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PyPIpytest-cov7.0.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.1.0indirect
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PyPIpyyaml6.0.3indirect
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PyPIrequests2.33.0indirect
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PyPIscikit-learn1.8.0indirect
PyPIscipy1.17.1indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsoupsieve2.8.4indirect
PyPIsphinx9.0.4indirect
PyPIsphinx-autoapi3.7.0indirect
PyPIsphinx-autobuild2025.8.25indirect
PyPIsphinx-codeautolink0.17.5indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-lfs-content1.1.10indirect
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
PyPIstarlette1.3.1indirect
PyPIthreadpoolctl3.6.0indirect
PyPItinycss21.4.0indirect
PyPItomli-w1.2.0indirect
PyPItoolz1.1.0indirect
PyPItornado6.5.8indirect
PyPItraitlets5.14.3indirect
PyPItzlocal5.3.1indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.41.0indirect
PyPIvirtualenv21.1.0indirect
PyPIwatchfiles1.1.1indirect
PyPIwcwidth0.6.0indirect
PyPIwebencodings0.5.1indirect
PyPIwebsockets16.0indirect
PyPIyamale6.1.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:icclim@7.1.10 pulls in 46 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.

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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.