Comparison
habitat-lab vs VLN-CE
Verdict
Pick habitat-lab if habitat-Lab is a Python library for training embodied AI agents in virtual environments through deep and reinforcement learning techniques; pick VLN-CE if vLN-CE provides Python-based resources for Vision-and-Language Navigation research using Habitat. It uses the MIT license but the datasets adhere to Matterport3D terms.
Markdown twin · habitat-lab alternatives · VLN-CE alternatives
GraphCanon updated Sep 23, 2026
11views this month
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Trust & integrity
| Signal | habitat-lab | VLN-CE |
|---|---|---|
| Maintenance | Slowing (136d since push) As of Sep 21, 2026 · github_public_v1 | Dormant (623d since push) As of Sep 23, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 21, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 23, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- habitat-lab
- A modular high-level library to train embodied AI agents
- VLN-CE
- Vision-and-Language Navigation in Continuous Environments using Habitat
Stars
- habitat-lab
- 3.1k
- VLN-CE
- 878
Forks
- habitat-lab
- 690
- VLN-CE
- 91
Open issues
- habitat-lab
- 390
- VLN-CE
- 29
Language
- habitat-lab
- Python
- VLN-CE
- Python
Adopt for
- habitat-lab
- Habitat-Lab is a Python library for training embodied AI agents in virtual environments through deep and reinforcement learning techniques.
- VLN-CE
- VLN-CE provides Python-based resources for Vision-and-Language Navigation research using Habitat. It uses the MIT license but the datasets adhere to Matterport3D terms.
Persona
- habitat-lab
- -
- VLN-CE
- -
Runtime
- habitat-lab
- -
- VLN-CE
- -
License
- habitat-lab
- MIT
- VLN-CE
- MIT
Last pushed
- habitat-lab
- May 7, 2026
- VLN-CE
- Jan 7, 2025
Categories
- habitat-lab
- AI Agents, Computer Vision
- VLN-CE
- Computer Vision, Model Training
Trust and health
Maintenance
- habitat-lab
- Slowing (36%)
- VLN-CE
- Dormant (18%)
Days since push
- habitat-lab
- 136d
- VLN-CE
- 623d
Open issues (now)
- habitat-lab
- 390
- VLN-CE
- 29
Stars delta
- habitat-lab
- +56 (30d)
- VLN-CE
- +34 (30d)
Open issues delta
- habitat-lab
- +2 (30d)
- VLN-CE
- 0 (30d)
Owner type
- habitat-lab
- Organization
- VLN-CE
- User
OSV dependency advisories
- habitat-lab
- No lockfile (source not queried)
- VLN-CE
- Published findings
Full report
- habitat-lab
- Trust report
- VLN-CE
- Trust report
Choose habitat-lab if…
- Requirements: Min 8 GB RAM; Requires Docker; Python >=3.9 is required along with cmake>=3.14 for installation; For users working on machines equipped with NVIDIA GPUs, nvidia-docker installation is necessary to run the provided Docker containers.
- Tags unique to habitat-lab: reinforcement learning, sim2real, simulator.
- Also covers AI Agents.
- habitat-lab ships Docker support for self-hosted deployment.
- Use Habitat-Lab when your project requires the simulation of complex environments for embodied AI tasks, such as navigation and interaction with objects
When NOT to use habitat-lab
- Avoid Habitat-Lab if the computational resources required for running the simulations exceed what is available or feasible in terms of cost
- Do not use Habitat-Lab when the project is solely focused on real-world data and does not necessitate virtual training environments, as setting up such a library might add unnecessary complexity
Choose VLN-CE if…
- Tags unique to VLN-CE: python.
- Also covers Model Training.
- When aiming to advance robotics navigation by training models on vision-language tasks with habitat-sim.
When NOT to use VLN-CE
- Avoid if your project needs fully open datasets, as some VLN-CE components are restricted by Matterport3D license terms.
- Steer clear if you prefer tools with built-in support for environments other than those within the Habitat simulation framework.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (facebookresearch/habitat-lab) · observed Sep 21, 2026
- GitHub forks (facebookresearch/habitat-lab) · observed Sep 21, 2026
- Last push (facebookresearch/habitat-lab) · observed May 7, 2026
- License file (MIT) · observed Sep 21, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (jacobkrantz/VLN-CE) · observed Sep 23, 2026
- GitHub forks (jacobkrantz/VLN-CE) · observed Sep 23, 2026
- Last push (jacobkrantz/VLN-CE) · observed Jan 7, 2025
- License file (MIT) · observed Sep 23, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: habitat-lab 3.1k · VLN-CE 878 (synced Sep 21, 2026).
Common questions
- What is the difference between habitat-lab and VLN-CE?
- habitat-lab: A modular high-level library to train embodied AI agents. VLN-CE: Vision-and-Language Navigation in Continuous Environments using Habitat. See the comparison table for live GitHub stats and shared categories.
- When should I choose habitat-lab over VLN-CE?
- Choose habitat-lab over VLN-CE when Requirements: Min 8 GB RAM; Requires Docker; Python >=3.9 is required along with cmake>=3.14 for installation; For users working on machines equipped with NVIDIA GPUs, nvidia-docker installation is necessary to run the provided Docker containers; Tags unique to habitat-lab: reinforcement learning, sim2real, simulator; Also covers AI Agents; habitat-lab ships Docker support for self-hosted deployment; Use Habitat-Lab when your project requires the simulation of complex environments for embodied AI tasks, such as navigation and interaction with objects.
- When should I choose VLN-CE over habitat-lab?
- Choose VLN-CE over habitat-lab when Tags unique to VLN-CE: python; Also covers Model Training; When aiming to advance robotics navigation by training models on vision-language tasks with habitat-sim.
- When should I avoid habitat-lab?
- Avoid Habitat-Lab if the computational resources required for running the simulations exceed what is available or feasible in terms of cost Do not use Habitat-Lab when the project is solely focused on real-world data and does not necessitate virtual training environments, as setting up such a library might add unnecessary complexity
- When should I avoid VLN-CE?
- Avoid if your project needs fully open datasets, as some VLN-CE components are restricted by Matterport3D license terms. Steer clear if you prefer tools with built-in support for environments other than those within the Habitat simulation framework.
- Is habitat-lab or VLN-CE more popular on GitHub?
- habitat-lab has more GitHub stars (3,138 vs 878). Stars measure visibility, not whether either tool fits your constraints.
- Are habitat-lab and VLN-CE open source?
- Yes - both are open-source projects on GitHub (habitat-lab: MIT, VLN-CE: MIT).
- Where can I find alternatives to habitat-lab or VLN-CE?
- GraphCanon lists graph-backed alternatives at habitat-lab alternatives and VLN-CE alternatives (habitat-lab markdown twin, VLN-CE markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, habitat-lab or VLN-CE?
- habitat-lab: Slowing. VLN-CE: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for habitat-lab and VLN-CE?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: habitat-lab trust report; VLN-CE trust report.