Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-01 08:09 UTC

SciQLop / speasy

Space Physics made EASY! A simple Python package to deal with main Space Physics WebServices (CDA,SSC,AMDA,..)

PythonMIT★ 37 stars⑂ 12 forkssince Dec 2019View on GitHub ↗

SciQLop/speasy holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Vitality (95/100) and lowest on Community & Adoption (58/100). It was last updated today. A single contributor accounts 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

SciQLopOrganization
13 followers36 public repossince Dec 2018

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIspeasy1.8.64,406420 days agocdfamdacdppnasa-dataplasma-physicssatellite

Metrics by category

Vitality

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

95Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
27/36Commit cadence — 39/52 weeks with commits
18/18Commit volume — 428 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 13 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year428
human_commit_share0.97
days_since_last_push0
active_weeks_last_year39

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 56 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~43.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count56
latest_release_tagv1.8.6
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases43.4
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?

58Moderate · 17% of overall
How it's scored
25.2/60Stars — 37 stars
8.7/25Forks — 12 forks
3.9/15Watchers — 6 watchers
Inputs used
forks12
stars37
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
7.2/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingyes
has_issue_templateyes
has_code_of_conductno
readme_badge_servicescodecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateno
How it's scored
48.6/80Monthly downloads — 4,406 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesspeasy
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,406
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?

64Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4.6/22.5Commit distribution — top contributor authored 80% of commits
13.5/13.5Contributor breadth — 11 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled11
top_contributor_share0.796
How it's scored
32.2/42Issue resolution — 77% of issues closed
27.8/30PR acceptance — 216/233 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 3/18 approved changesets -- score normalized to 1
Inputs used
merged_prs216
open_issues29
closed_issues95
prs_merged_7d5
prs_decided_7d5
prs_merged_30d11
prs_decided_30d11
issue_closed_ratio0.766
closed_unmerged_prs17
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.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
8.2/25Owner reach — 13 followers of SciQLop
23.4/25Track record — 36 public repos, account ~7 yr old
Inputs used
followers13
owner_typeOrganization
is_verifiedno
owner_loginSciQLop
public_repos36
account_age_days2,846

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 — 42 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesspeasy
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 9 out of 9 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 15 topics
10/10Wiki
Inputs used
topicsspace-physics, webservices, python3, python-3, plasma-physics, nasa-api, esa, cnes, sciqlop, space-plasma, amda, cdaweb, sscweb, pyhc, pnst
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

59Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 9 out of 9 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
0.8/7.5Code-Review — Found 3/18 approved changesets -- score normalized to 1
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 13 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
5/5SAST — SAST tool is run on all commits
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
2.2/7.5Vulnerabilities — 7 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.7
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.
How it's scored
13/35Direct dependencies free of known advisories — 2 affected: urllib3 2.7.0 (high 7.5), diskcache 5.6.3 (moderate)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
37.2/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 231 days ago
Inputs used
sourceosv
advisories8
affected_packages3
assessed_packages155
unassessed_packages35
affected_by_severityhigh 2, moderate 1
direct_affected_packages2
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 155 resolved dependencies against OSV. 35 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

81Excellent · 4% of overall
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 90 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.928
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes3,508
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 78 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 3 of the last 100 commits are automated dependency updates
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_filesMakefile, docs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.78
toolchain_manifests—
dependency_bot_commit_share0.03
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/148 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes40,092
source_files_sampled148
oversized_source_files0
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, notebooks
Inputs used
example_dirsexamples, notebooks
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

37GitHub stars
11contributors
428commits, last 12 months
0days since last push
56releases
1bus factor
29open 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:speasy@1.8.6; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 12 ⇿
0Stars
12Forks
40Releases

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.

0246810121222021-072024-022026-09
Major 1Minor 10Patch 29

Each point covers 5 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 · 2026-10-01 08:09 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-Tests9 out of 9 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 3/18 approved changesets -- score normalized to 1
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 13 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
3Vulnerabilities7 existing vulnerabilities detected
Direct dependencies 20
RegistryPackageVersion constraintManifest
PyPIPyYAML—pyproject.toml
PyPIappdirs—pyproject.toml
PyPIastropy—pyproject.toml
PyPIastroquery—pyproject.toml
PyPIdiskcache—pyproject.toml
PyPIpysciqlop-cache>=0.3.0,<0.4pyproject.toml
PyPIhumanize—pyproject.toml
PyPImatplotlib—pyproject.toml
PyPInumpy—pyproject.toml
PyPIpackaging—pyproject.toml
PyPIpandas—pyproject.toml
PyPIpycdfpp>=0.15.0pyproject.toml
PyPIpyistp>=0.8.2pyproject.toml
PyPIpython-dateutil—pyproject.toml
PyPIrequests—pyproject.toml
PyPIscipy—pyproject.toml
PyPItqdm—pyproject.toml
PyPIurllib3>=1.26.0pyproject.toml
PyPIcertifi—pyproject.toml
PyPIpysocks—pyproject.toml
All dependencies 190

Full resolved dependency set from the GitHub dependency graph: 46 direct and 144 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIappdirs—direct
PyPIappdirs1.4.4direct
PyPIastropy—direct
PyPIastropy6.1.7direct
PyPIastropy8.0.1direct
PyPIastroquery—direct
PyPIastroquery0.4.11direct
PyPIcertifi—direct
PyPIcertifi2026.7.22direct
PyPIdiskcache—direct
PyPIdiskcache5.6.3direct
PyPIhumanize—direct
PyPIhumanize4.16.0direct
PyPImatplotlib—direct
PyPImatplotlib3.10.9direct
PyPImatplotlib3.11.1direct
PyPInumpy—direct
PyPInumpy2.2.6direct
PyPInumpy2.4.6direct
PyPInumpy2.5.2direct
PyPIpackaging—direct
PyPIpackaging26.3direct
PyPIpandas—direct
PyPIpandas2.3.3direct
PyPIpandas3.0.5direct
PyPIpycdfpp0.15.0direct
PyPIpyistp—direct
PyPIpyistp0.8.2direct
PyPIpysciqlop-cache—direct
PyPIpysciqlop-cache0.3.0direct
PyPIpysocks—direct
PyPIpysocks1.7.1direct
PyPIpython-dateutil—direct
PyPIpython-dateutil2.9.0.post0direct
PyPIpyyaml—direct
PyPIpyyaml6.0.3direct
PyPIrequests—direct
PyPIrequests2.34.2direct
PyPIscipy—direct
PyPIscipy1.15.3direct
PyPIscipy1.17.1direct
PyPIscipy1.18.0direct
PyPItqdm—direct
PyPItqdm4.70.0direct
PyPIurllib3—direct
PyPIurllib32.7.0direct
PyPIalabaster1.0.0indirect
PyPIargh—indirect
PyPIargh0.31.3indirect
PyPIastropy-iers-data0.2026.8.18.14.22.31indirect
PyPIasttokens3.0.2indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbackports-zstd1.7.0indirect
PyPIbeautifulsoup44.15.0indirect
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PyPIcftime1.6.5indirect
PyPIcharset-normalizer3.5.1indirect
PyPIcogapp3.6.0indirect
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PyPIcomm0.2.3indirect
PyPIcontourpy1.3.2indirect
PyPIcontourpy1.3.3indirect
PyPIcoverage7.15.4indirect
PyPIcryptography50.0.0indirect
PyPIcycler0.12.1indirect
PyPIddt—indirect
PyPIddt1.7.2indirect
PyPIdecorator5.3.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.22.2indirect
PyPIfonttools4.63.0indirect
PyPIhtml5lib1.1indirect
PyPIidna3.19indirect
PyPIimagesize2.0.0indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIipympl—indirect
PyPIipympl0.10.0indirect
PyPIipython—indirect
PyPIipython8.39.0indirect
PyPIipython9.16.1indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIipywidgets—indirect
PyPIipywidgets8.1.9indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjedi0.20.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-client8.9.1indirect
PyPIjupyter-core5.9.1indirect
PyPIjupyterlab-pygments0.3.0indirect
PyPIjupyterlab-widgets3.0.17indirect
PyPIkeyring25.7.0indirect
PyPIkiwisolver1.5.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib-inline0.2.2indirect
PyPImistune3.3.4indirect
PyPImore-itertools11.1.0indirect
PyPInbclient0.11.0indirect
PyPInbconvert7.17.1indirect
PyPInbformat5.11.1indirect
PyPInbsphinx—indirect
PyPInbsphinx0.9.8indirect
PyPInetcdf41.7.3indirect
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PyPInumcodecs0.13.1indirect
PyPInumcodecs0.16.5indirect
PyPInumcodecs0.17.0indirect
PyPInumpydoc—indirect
PyPInumpydoc1.10.0indirect
PyPIpandoc2.4indirect
PyPIpandocfilters1.5.1indirect
PyPIparso0.8.7indirect
PyPIpbr7.0.3indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.11.3indirect
PyPIpluggy1.6.0indirect
PyPIplumbum2.0.2indirect
PyPIply3.11indirect
PyPIprompt-toolkit3.0.53indirect
PyPIpsutil7.2.2indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.3indirect
PyPIpycparser3.0indirect
PyPIpyerfa2.0.1.5indirect
PyPIpygments2.21.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov—indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-runner—indirect
PyPIpytz2026.3.post1indirect
PyPIpyvo1.9.1indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyzmq27.2.0indirect
PyPIpyzstd—indirect
PyPIpyzstd0.19.1indirect
PyPIreferencing0.37.0indirect
PyPIroman-numerals4.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools84.0.0indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsoupsieve2.9.2indirect
PyPIsphinx—indirect
PyPIsphinx8.1.3indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-codeautolink0.15.2indirect
PyPIsphinx-gallery—indirect
PyPIsphinx-gallery0.21.0indirect
PyPIsphinx-rtd-theme—indirect
PyPIsphinx-rtd-theme3.1.0indirect
PyPIsphinxcontrib-apidoc—indirect
PyPIsphinxcontrib-apidoc0.6.0indirect
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
PyPItinycss21.5.1indirect
PyPItomli2.4.1indirect
PyPItornado6.5.8indirect
PyPItraitlets5.16.1indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.3indirect
PyPIwatchdog—indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.8.2indirect
PyPIwebencodings0.6.1indirect
PyPIwidgetsnbextension4.0.16indirect
PyPIzipp4.1.0indirect
Dependency advisories 3

This repository publishes no package the index resolves, so its own dependency graph was assessed — 155 packages, which also include development and test pins that never ship: 3 carry known advisories, of which 2 are direct. 35 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
urllib32.7.0directhigh32.8.0
tornado6.5.8indirecthigh36.5.9
diskcache5.6.3directmoderate2—

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.