Public recordGood
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-25 13:53 UTC
dynamicslab / pysindy
A package for the sparse identification of nonlinear dynamical systems from data
dynamicslab/pysindy holds a health index of 73 out of 100, placing it in the Good band. It scores highest on Engineering Quality (92/100) and lowest on AI Readiness (44/100). It was last updated 44 days ago. 2 contributors account for most of its recent work.
73
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.
73
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
dynamicslabOrganization
1,431 followers20 public repossince Jan 2020
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish |
|---|---|---|---|---|---|
| PyPI | pysindy | 2.1.0 | 43,784 | 38 | 197 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
58
Development activity
55Moderate
How it's scored
| 18/36 | Push recency — last push 44 days ago |
| 19.4/36 | Commit cadence — 28/52 weeks with commits |
| 18/18 | Commit volume — 148 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Inputs used
| commits_last_year | 148 |
| human_commit_share | 1 |
| days_since_last_push | 44 |
| active_weeks_last_year | 28 |
Release discipline
62Moderate
How it's scored
| 27/27 | Ships releases — 39 releases published |
| 16.2/36 | Release recency — latest release 197 days ago |
| 12.6/27 | Release cadence — a release every ~141.6 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 39 |
| latest_release_tag | v2.1.0 |
| releases_from_tags | no |
| days_since_latest_release | 197 |
| mean_days_between_releases | 141.6 |
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?
75
Popularity & adoption
83Good
How it's scored
| 53.1/60 | Stars — 1,869 stars |
| 21.5/25 | Forks — 383 forks |
| 8.3/15 | Watchers — 32 watchers |
Inputs used
| forks | 383 |
| stars | 1,869 |
| watchers | 32 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
64Moderate
How it's scored
| 22.5/22.5 | README |
| 16.9/22.5 | License — license file present, not a recognized license |
| 18/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
How it's scored
| 61.9/80 | Monthly downloads — 43,784 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | pysindy |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 43,784 |
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?
78
Maintainer resilience (bus factor)
64Moderate
How it's scored
| 25.2/54 | Bus factor — 2 contributor(s) cover half of all commits |
| 15.1/22.5 | Commit distribution — top contributor authored 33% of commits |
| 13.5/13.5 | Contributor breadth — 26 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations |
Inputs used
| bus_factor | 2 |
| contributors_sampled | 26 |
| top_contributor_share | 0.329 |
Issue & PR responsiveness
87Excellent
How it's scored
| 38.1/46.8 | Issue resolution — 81% of issues closed |
| 33.9/38.3 | PR acceptance — 172/194 decided PRs merged |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Inputs used
| merged_prs | 172 |
| open_issues | 77 |
| closed_issues | 336 |
| issue_closed_ratio | 0.814 |
| closed_unmerged_prs | 22 |
Ownership & stewardship
74Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 22.7/25 | Owner reach — 1,431 followers of dynamicslab |
| 21.6/25 | Track record — 20 public repos, account ~6 yr old |
Inputs used
| followers | 1,431 |
| owner_type | Organization |
| is_verified | — |
| owner_login | dynamicslab |
| public_repos | 20 |
| account_age_days | 2,384 |
Package maintenance
91Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 26/35 | Publish recency — latest publish 197 days ago |
| 20/20 | Version history — 38 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | pysindy |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 197 |
Engineering Quality
Are baseline engineering and documentation practices in place?
92
Engineering practices
94Excellent
How it's scored
| 24/24 | CI workflows — 6 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — .flake8 |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://pysindy.readthedocs.io/en/latest/ |
| 10/10 | Repository description |
| 10/10 | Topics — 6 topics |
| 0/10 | Wiki |
Inputs used
| topics | dynamical-systems, machine-learning, sparse-regression, model-discovery, system-identification, nonlinear-dynamics |
| has_wiki | no |
| homepage | https://pysindy.readthedocs.io/en/latest/ |
| 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
48At risk
How it's scored
| 0/7.5 | Binary-Artifacts — binaries present in source code |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 13 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 |
| 2.2/2.5 | License — license file detected |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 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 | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 4.8 |
Excluded from scoring (no data or not applicable): signed_releases. Remaining weights renormalized.
Dependency advisories
100Excellent
How it's scored
| 35/35 | Direct dependencies free of known advisories — no direct dependency carries a known advisory |
| 25/25 | Indirect dependencies free of known advisories — no indirect dependency carries a known advisory |
| 0/40 | No advisories left outstanding — no advisory carries a publication date |
Inputs used
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 10 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pysindy@2.1.0 runtime dependency closure — what installing the published package pulls in — 10 packages. Reachability is not analyzed.
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.
44
Agent context & guidance
17Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 17.1/40 | Legible commit history — 32 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.32 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Verify loop (build / test / typecheck)
61Moderate
How it's scored
| 18/18 | One-command bootstrap — examples/data/vonKarman_pod/pod_modes/makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — .flake8 |
| 0/11 | Static type checking |
| 0/10 | Reproducible environment |
| 10/10 | Demonstrated agent practice — 6 of the last 100 commits agent-authored or agent-credited |
| 0/8 | Automated maintenance — no automated dependency updates observed |
| 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 | examples/data/vonKarman_pod/pod_modes/makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | 0.06 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
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 — 0/84 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 55,722 |
| source_files_sampled | 84 |
| oversized_source_files | 0 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples, notebooks |
Inputs used
| example_dirs | examples, notebooks |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
1,869GitHub stars
26contributors
148commits, last 12 months
44days since last push
39releases
2bus factor
77open 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 ★ / 383 ⇿
0Stars
383Forks
36Releases
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 2Minor 7Patch 21
Each point covers 6 days.
OpenSSF Scorecard 4.8 / 10
4.8aggregate
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).
| 0 | Binary-Artifacts | binaries present in source code |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 13 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 |
| 9 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 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 |
Direct dependencies 5
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | scikit-learn | >=1.1, !=1.5.0, !=1.6.0, !=1.7.1 | pyproject.toml |
| PyPI | numpy | >=2.0 | pyproject.toml |
| PyPI | derivative | >=0.6.2 | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
| PyPI | typing_extensions | — | pyproject.toml |
All dependencies 5
Full resolved dependency set from the GitHub dependency graph: 5 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | derivative | — | direct |
| PyPI | numpy | — | direct |
| PyPI | scikit-learn | — | direct |
| PyPI | scipy | — | direct |
| PyPI | typing-extensions | — | direct |
Dependency advisories 0
Installing pypi:pysindy@2.1.0 pulls in 10 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
{
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],
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{
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]
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"components": [
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{
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]
}
],
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{
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"components": [
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{
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{
"key": "dangerous_workflow",
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"status": "met",
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{
"key": "dependency_update_tool",
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"points": 7.5,
"status": "met",
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{
"key": "fuzzing",
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"status": "missed",
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{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.2,
"status": "partial",
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{
"key": "maintained",
"name": "Maintained",
"detail": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
"points": 0,
"status": "missed",
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{
"key": "packaging",
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{
"key": "pinned_dependencies",
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"status": "missed",
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{
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"code": "no_data",
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],
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{
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"status": "missed",
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{
"key": "vulnerabilities",
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"detail": "0 existing vulnerabilities detected",
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]
},
{
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"code": "advisories_scope_published",
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},
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"code": "advisories_reachability",
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"components": [
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},
{
"key": "malicious_dependencies",
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"notes": [],
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"inputs": {
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"code": "jurisdiction_evidence_limits",
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],
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],
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{
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],
"max_points": 8
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{
"key": "openssf_scorecard_pinned_dependencies",
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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 v1.13.0, schema v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.