Public recordAt risk
Software health reportschema 0.9.0 · metrics 1.13.0 · 2026-07-13 17:34 UTC
BanerjeeLab-repertoire / pycat-napari
Python Condensate Analysis Toolbox (PyCAT) for bio-image analysis, especially biomolecular condensates and fluorescence microscopy images.
BanerjeeLab-repertoire/pycat-napari holds a health index of 43 out of 100, placing it in the At risk band. It scores highest on Engineering Quality (62/100) and lowest on Security (1/100). It was last updated today. A single contributor accounts for most of its recent work.
43
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.
43
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
Condensate Biophysics LabPersonal account
4 followers7 public repossince Apr 2023
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish |
|---|---|---|---|---|---|
| PyPI | pycat-napari | 1.5.505 | 44,238 | 335 | 0 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
38
Development activity
62Moderate
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 2.1/36 | Commit cadence — 3/52 weeks with commits |
| 18/18 | Commit volume — 186 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 186 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 3 |
Release discipline
1Critical
How it's scored
| 0/27 | Ships releases — no releases published |
| 0/36 | Release recency — no releases |
| 0/27 | Release cadence — no releases |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 0 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
42
Popularity & adoption
1Critical
How it's scored
| 0/60 | Stars — 1 stars |
| 0/25 | Forks — 1 forks |
| 0/15 | Watchers — 1 watchers |
Inputs used
| forks | 1 |
| stars | 1 |
| watchers | 1 |
| 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 — 44,238 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | pycat-napari |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 44,238 |
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?
59
Maintainer resilience (bus factor)
17Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 3.7/22.5 | Commit distribution — top contributor authored 84% of commits |
| 2.7/13.5 | Contributor breadth — 2 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 2 |
| top_contributor_share | 0.835 |
Issue & PR responsiveness
100Excellent
How it's scored
| 0/46.8 | Issue resolution — no issues or no data |
| 38.2/38.3 | PR acceptance — 10/10 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 10 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 0 |
Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.
Ownership & stewardship
35At risk
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 5/25 | Owner reach — 4 followers of BanerjeeLab-repertoire |
| 13.1/25 | Track record — 7 public repos, account ~3 yr old |
Inputs used
| followers | 4 |
| owner_type | User |
| is_verified | — |
| owner_login | BanerjeeLab-repertoire |
| public_repos | 7 |
| account_age_days | 1,197 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 0 days ago |
| 20/20 | Version history — 335 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | pycat-napari |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
62
Engineering practices
60Moderate
How it's scored
| 24/24 | CI workflows — 1 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
65Moderate
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 0/10 | Topics |
| 0/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | no |
| homepage | — |
| 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?
1
Security posture
1Critical
How it's scored
| 0/30 | Security policy (SECURITY.md) |
| 0/25 | Dependabot config |
| 0/25 | Dependency lockfiles — published library — lockfiles are an application concern, not expected |
| 0/20 | CodeQL workflow |
Inputs used
| source | file_signals |
| lockfiles | — |
| manifests | config/requirements-arm-mac.txt, config/requirements-base.txt, config/requirements-devbio-napari-arm-mac.txt, config/requirements-devbio-napari.txt, docs/requirements.txt, pyproject.toml |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
Excluded from scoring (no data or not applicable): Dependency lockfiles. 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.
36
Agent context & guidance
1Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
Verify loop (build / test / typecheck)
56Moderate
How it's scored
| 18/18 | One-command bootstrap — docs/Makefile |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 0/11 | Static type checking |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — no data |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | docs/Makefile |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
Code legibility for models
51Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 50.7/55 | Manageable file sizes — 14/181 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 274,685 |
| source_files_sampled | 181 |
| oversized_source_files | 14 |
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
1GitHub stars
2contributors
186commits, last 12 months
0days since last push
0releases
1bus factor
0open issues
PyPIpackage ecosystems
Data collection warnings
- OpenSSF Scorecard timed out after 240s; skipping Scorecard checks
More detail
Direct dependencies 24
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | aicsimageio | >=4.14.0 | pyproject.toml |
| PyPI | aicspylibczi | >=3.0.5 | pyproject.toml |
| PyPI | cellpose | <4 | pyproject.toml |
| PyPI | matplotlib | — | pyproject.toml |
| PyPI | napari | — | pyproject.toml |
| PyPI | numpy | >=1.22,<2.0 | pyproject.toml |
| PyPI | opencv-python-headless | — | pyproject.toml |
| PyPI | pandas | — | pyproject.toml |
| PyPI | pydantic | — | pyproject.toml |
| PyPI | pyqt5 | — | pyproject.toml |
| PyPI | torch | — | pyproject.toml |
| PyPI | pywavelets | — | pyproject.toml |
| PyPI | scikit-image | — | pyproject.toml |
| PyPI | scikit-learn | — | pyproject.toml |
| PyPI | networkx | — | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
| PyPI | largestinteriorrectangle | — | pyproject.toml |
| PyPI | imaris-ims-file-reader | — | pyproject.toml |
| PyPI | av | — | pyproject.toml |
| PyPI | hdf5plugin | — | pyproject.toml |
| PyPI | numba | — | pyproject.toml |
| PyPI | seaborn | — | pyproject.toml |
| PyPI | simpleitk | — | pyproject.toml |
| PyPI | zarr | >=2.12,<3.0 | pyproject.toml |
Raw JSON report machine-readable
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],
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{
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{
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},
{
"key": "community_health",
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"note": null,
"notes": [],
"value": 64,
"inputs": {
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},
"components": [
{
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"details": [],
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},
{
"key": "license",
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"detail": "license file present, not a recognized license",
"points": 16.9,
"status": "partial",
"details": [
{
"code": "license_custom",
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],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
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"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
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},
{
"key": "issue_template",
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{
"key": "pr_template",
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]
},
{
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"notes": [
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"code": "excluded_no_data",
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}
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{
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],
"value": 77,
"inputs": {
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"components": [
{
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"points": 61.9,
"status": "partial",
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}
],
"max_points": 80
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{
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"points": 0,
"status": "excluded",
"details": [
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],
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]
}
],
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},
{
"key": "governance",
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"name": "Sustainability & Governance",
"value": 59,
"weight": 0.24,
"metrics": [
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"key": "maintainer_resilience",
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"note": null,
"notes": [],
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"inputs": {
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"components": [
{
"key": "bus_factor",
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"points": 9,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
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}
],
"max_points": 54
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{
"key": "commit_distribution",
"name": "Commit distribution",
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"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
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}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "2 contributors",
"points": 2.7,
"status": "partial",
"details": [
{
"code": "contributors_sampled",
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}
],
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{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
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}
],
"max_points": 10
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]
},
{
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"note": "Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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],
"value": 100,
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"status": "excluded",
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{
"code": "no_issues_or_data",
"params": {}
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],
"max_points": 46.75
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{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "10/10 decided PRs merged",
"points": 38.2,
"status": "met",
"details": [
{
"code": "decided_prs_merged",
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{
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"code": "no_data",
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],
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]
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{
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"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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{
"code": "weights_renormalized",
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"value": 35,
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"components": [
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"details": [
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"code": "owner_personal",
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"max_points": 30
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{
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{
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{
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{
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{
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{
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{
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{
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{
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"points": 0,
"status": "missed",
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{
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"weight": 0.16,
"metrics": [
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"code": "excluded_no_data",
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{
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{
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"weight": 0,
"metrics": [
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"key": "ai_agent_context",
"band": "critical",
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"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
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{
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{
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"code": "excluded_no_data",
"params": {
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"components": [
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"status": "met",
"details": [
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{
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"points": 22,
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{
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"points": 0,
"status": "missed",
"details": [],
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],
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{
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{
"key": "openssf_scorecard_pinned_dependencies",
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"inputs": {
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"components": [
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"schema_version": "0.9.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/BanerjeeLab-repertoire/pycat-napari.svg",
"full_name": "BanerjeeLab-repertoire/pycat-napari",
"license_state": "custom",
"license_spdx": null
}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 v0.9.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.