Habitat-Lab vs RoboOS
Habitat-Lab leads on trust: 44.3/100 (Grade D) against 33.7/100 (Grade D), a 10.6-point gap. Habitat-Lab leads on supply-chain integrity and transparency.
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Choose Habitat-Lab if supply-chain integrity and transparency matter most.
- +4.1Safety / Integrity: OSSF Scorecard 5.1 against 1.8
- +2.8Transparency: OSSF Scorecard 5.1 against 1.8
- +1.7Adoption: 3.2k GitHub stars against 630
- +0.9Maintenance: last push 167d ago, against 307d ago
🤖 RoboOS: A Universal Embodied Operating System for Cross-Embodied and Multi-Robot Collaboration
RoboOS doesn't lead on any scored dimension in this pair.
Where they differ
1 dimension identical: Identity 10.8 · Full evidence table
An independent, evidence-based trust comparison of Habitat-Lab and RoboOS, two Robotics & Embodied projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | Habitat-Labfacebookresearch/habitat-lab | RoboOSFlagOpen/RoboOS |
|---|---|---|
| HVTrust score | 44.3 | 33.7 |
| Evidence grade | D | D |
| Coverage grade | C | C |
| Overall rank | #1134 | #1312 |
| Rank in Robotics & Embodied | #2 | #3 |
| GitHub stars | 3.2k | 630 |
| Last updated | 167d ago | 307d ago |
| Build provenance | No | No |
| OSSF Scorecard | 5.1 / 10 | 1.8 / 10 |
| License | MIT | Apache-2.0 |
| Downloads | — | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 11.4 | 7.3 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 12.8 | 10.0 |
| Maintenance / 20 | 0.9 | 0.0 |
| Adoption / 20 | 8.4 | 6.7 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | — |
| External providers | — | 2 — OpenAI, Redis |
| Requires API keys | No | No |
| Plugin surface | — | — |
| Provenance drift | — | — |
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →