Public recordAt risk
Software health reportschema 0.15.0 · metrics 1.13.0 · 2026-07-20 08:17 UTC
meshroomHub / mrSegmentation
Segmentation and Matting Nodes for Meshroom
meshroomHub/mrSegmentation holds a health index of 42 out of 100, placing it in the At risk band. It scores highest on Vitality (78/100) and lowest on Security (1/100). It was last updated 9 days ago. A single contributor accounts for most of its recent work.
42
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.
42
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
Meshroom HubOrganization
67 followers27 public repossince Mar 2025
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?
78
Development activity
77Good
How it's scored
| 28.8/36 | Push recency — last push 9 days ago |
| 22.2/36 | Commit cadence — 32/52 weeks with commits |
| 18/18 | Commit volume — 125 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 125 |
| human_commit_share | — |
| days_since_last_push | 9 |
| active_weeks_last_year | 32 |
Release discipline
80Good
How it's scored
| 16.2/27 | Ships releases — 7 version tags (no GitHub releases) |
| 36/36 | Release recency — latest release 46 days ago |
| 19.8/27 | Release cadence — a release every ~48.2 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 7 |
| latest_release_tag | v1.4.1 |
| releases_from_tags | yes |
| days_since_latest_release | 46 |
| mean_days_between_releases | 48.2 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
33
Popularity & adoption
18Critical
How it's scored
| 13.7/60 | Stars — 8 stars |
| 0/25 | Forks — 2 forks |
| 3.9/15 | Watchers — 6 watchers |
Inputs used
| forks | 2 |
| stars | 8 |
| watchers | 6 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
50Moderate
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MPL-2.0) |
| 0/18 | 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 | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
59
Maintainer resilience (bus factor)
28Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 7.8/22.5 | Commit distribution — top contributor authored 65% of commits |
| 8.1/13.5 | Contributor breadth — 6 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 6 |
| top_contributor_share | 0.653 |
Issue & PR responsiveness
98Excellent
How it's scored
| 46.8/46.8 | Issue resolution — 100% of issues closed |
| 36.9/38.3 | PR acceptance — 54/56 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 54 |
| open_issues | 0 |
| closed_issues | 1 |
| issue_closed_ratio | 1 |
| closed_unmerged_prs | 2 |
Ownership & stewardship
56Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 13.2/25 | Owner reach — 67 followers of meshroomHub |
| 13.3/25 | Track record — 27 public repos, account ~1 yr old |
Inputs used
| followers | 67 |
| owner_type | Organization |
| is_verified | — |
| owner_login | meshroomHub |
| public_repos | 27 |
| account_age_days | 501 |
Engineering Quality
Are baseline engineering and documentation practices in place?
21
Engineering practices
1Critical
How it's scored
| 0/24 | CI workflows |
| 0/24 | 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 | no |
| has_tests | no |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
50Moderate
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 0/10 | Topics |
| 10/10 | Wiki |
Inputs used
| topics | — |
| has_wiki | yes |
| homepage | — |
| has_readme | yes |
| has_docs_dir | no |
| 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 |
| 0/20 | CodeQL workflow |
Inputs used
| source | file_signals |
| lockfiles | — |
| manifests | requirements.txt, setup.py |
| has_codeql_workflow | no |
| has_security_policy | no |
| has_dependabot_config | no |
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.
11
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.
How it's scored
| 0/18 | One-command bootstrap |
| 0/22 | 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 | no |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| 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
55Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 55/55 | Manageable file sizes — 0/29 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 32,971 |
| source_files_sampled | 29 |
| oversized_source_files | 0 |
Key facts
8GitHub stars
6contributors
125commits, last 12 months
9days since last push
7releases
1bus factor
0open issues
PyPIpackage ecosystems
Data collection warnings
- Could not fetch pypi package 'imagePrompt' from its registry
- OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks
More detail
All dependencies 8
Full resolved dependency set from the GitHub dependency graph: 0 direct and 8 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | einops | — | indirect |
| PyPI | fairscale | — | indirect |
| PyPI | groundingdino-py | 0.4.0 | indirect |
| PyPI | kornia | — | indirect |
| PyPI | scipy | — | indirect |
| PyPI | segment-anything | 1.0 | indirect |
| PyPI | torch | 2.5.1 | indirect |
| PyPI | torchvision | 0.20.* | indirect |
Raw JSON report machine-readable
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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 v0.15.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics.