GraphCanon updated Sep 21, 2026 · GitHub synced Sep 21, 2026
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Decision brief
Habitat-Lab is a Python library for training embodied AI agents in virtual environments through deep and reinforcement learning techniques.
Good fit when
- Use Habitat-Lab when your project requires the simulation of complex environments for embodied AI tasks, such as navigation and interaction with objects
- If you are working on research projects involving robotics and computer vision where simulation is critical to test and validate your algorithms before physical trials, choose Habitat-Lab
Avoid when
- 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
- 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
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (136d since push)
- As of Sep 21, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 21, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install habitat-labSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Habitat-Lab provides tools for training AI in virtual environments using deep learning and reinforcement learning techniques, targeting tasks related to robotics and computer vision.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 21, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 21, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 21, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 21, 2026)
# We require python>=3.9 and cmake>=3.14Source link
Tags
README
Installation 1. Preparing conda env Assuming you have conda installed, let's prepare a conda env: 1. conda install habitat sim To install habitat sim with bullet physics Note, for newer features added after the most recent release, you may need to install . See Habitat Sim's inst...
For agents
This page has a .md twin and JSON over the API.