Public recordGood
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-26 17:36 UTC
pytroll / pyspectral
Pyspectral is a package to read and manipulate satellite sensor spectral responses and solar irradiance spectra
pytroll/pyspectral holds a health index of 72 out of 100, placing it in the Good band. It scores highest on Engineering Quality (95/100) and lowest on AI Readiness (42/100). It was last updated 25 days ago. A single contributor accounts for most of its recent work.
72
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
72
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
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.
Ownership
PytrollOrganization
166 followers57 public repossince Jun 2015
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
73
Development activity
67Moderate
How it's scored
| 28.8/36 | Push recency — last push 25 days ago |
| 15.2/36 | Commit cadence — 22/52 weeks with commits |
| 18/18 | Commit volume — 103 commits in the last year |
| 5/10 | OpenSSF Scorecard: Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5 |
Inputs used
| commits_last_year | 103 |
| human_commit_share | 0.89 |
| days_since_last_push | 25 |
| active_weeks_last_year | 22 |
Release discipline
82Good
How it's scored
| 27/27 | Ships releases — 22 releases published |
| 27/36 | Release recency — latest release 115 days ago |
| 19.8/27 | Release cadence — a release every ~77.2 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 22 |
| latest_release_tag | v0.14.3 |
| releases_from_tags | no |
| days_since_latest_release | 115 |
| mean_days_between_releases | 77.2 |
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?
73
Popularity & adoption
49At risk
How it's scored
| 30.9/60 | Stars — 81 stars |
| 13.2/25 | Forks — 39 forks |
| 5/15 | Watchers — 9 watchers |
Inputs used
| forks | 39 |
| stars | 81 |
| watchers | 9 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
100Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (Apache-2.0) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 7.2/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | yes |
| has_code_of_conduct | yes |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
62
Maintainer resilience (bus factor)
42At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 9.8/22.5 | Commit distribution — top contributor authored 56% of commits |
| 13.5/13.5 | Contributor breadth — 21 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 21 |
| top_contributor_share | 0.565 |
How it's scored
| 32.1/46.8 | Issue resolution — 69% of issues closed |
| 36.9/38.3 | PR acceptance — 193/200 decided PRs merged |
| 7.5/15 | OpenSSF Scorecard: Code-Review — Found 3/6 approved changesets -- score normalized to 5 |
Inputs used
| merged_prs | 193 |
| open_issues | 27 |
| closed_issues | 59 |
| issue_closed_ratio | 0.686 |
| closed_unmerged_prs | 7 |
Ownership & stewardship
71Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 16/25 | Owner reach — 166 followers of pytroll |
| 24.8/25 | Track record — 57 public repos, account ~11 yr old |
Inputs used
| followers | 166 |
| owner_type | Organization |
| is_verified | — |
| owner_login | pytroll |
| public_repos | 57 |
| account_age_days | 4,051 |
Engineering Quality
Are baseline engineering and documentation practices in place?
95
Engineering practices
92Excellent
How it's scored
| 24/24 | CI workflows — 2 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 10 out of 11 merged PRs checked by a CI test -- score normalized to 9 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
100Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://pyspectral.readthedocs.org/ |
| 10/10 | Repository description |
| 10/10 | Topics — 5 topics |
| 10/10 | Wiki |
Inputs used
| topics | spectral-response, satellite, python, hacktoberfest, closember |
| has_wiki | yes |
| homepage | https://pyspectral.readthedocs.org/ |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
58
Security posture
58Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 2.2/2.5 | CI-Tests — 10 out of 11 merged PRs checked by a CI test -- score normalized to 9 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 3.8/7.5 | Code-Review — Found 3/6 approved changesets -- score normalized to 5 |
| 2.5/2.5 | Contributors — project has 8 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 3.8/7.5 | Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5.8 |
Excluded from scoring (no data or not applicable): branch_protection, signed_releases. Remaining weights renormalized.
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
42
Agent context & guidance
13Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 13.2/40 | Legible commit history — 22 of 89 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.247 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Verify loop (build / test / typecheck)
59Moderate
How it's scored
| 18/18 | One-command bootstrap — doc/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 0/11 | Static type checking |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 100 |
| 8/8 | Automated maintenance — 6 of the last 100 commits are automated dependency updates |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | doc/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0.06 |
Code legibility for models
55Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 55/55 | Manageable file sizes — 0/65 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 26,751 |
| source_files_sampled | 65 |
| oversized_source_files | 0 |
Key facts
81GitHub stars
21contributors
103commits, last 12 months
25days since last push
22releases
1bus factor
27open issues
PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- No resolved dependencies carried a version and a supported ecosystem
More detail
Star and fork history 0 ★ / 39 ⇿
0Stars
39Forks
20Releases
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.
Major 0Minor 4Patch 14
Each point covers 11 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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| n/a | Branch-Protection | internal 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 |
| 9 | CI-Tests | 10 out of 11 merged PRs checked by a CI test -- score normalized to 9 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 5 | Code-Review | Found 3/6 approved changesets -- score normalized to 5 |
| 10 | Contributors | project has 8 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 5 | Maintained | 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
All dependencies 7
Full resolved dependency set from the GitHub dependency graph: 0 direct and 7 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | h5py | — | indirect |
| PyPI | numpy | — | indirect |
| PyPI | platformdirs | — | indirect |
| PyPI | python-geotiepoints | — | indirect |
| PyPI | pyyaml | — | indirect |
| PyPI | requests | — | indirect |
| PyPI | scipy | — | indirect |
Dependency advisories not assessed
Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem
Raw JSON report machine-readable
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}
],
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},
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],
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"schema_version": "0.27.0",
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"license_spdx": "Apache-2.0"
}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 v1.13.0, schema v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics.