Comparison
habitat-lab vs LlamaFactory
Verdict
Pick habitat-lab when license: habitat-lab is MIT, LlamaFactory is Apache-2.0; pick LlamaFactory when license: LlamaFactory is Apache-2.0, habitat-lab is MIT.
Markdown twin · habitat-lab alternatives · LlamaFactory alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | habitat-lab | LlamaFactory |
|---|---|---|
| Maintenance | Steady (64d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- habitat-lab
- A modular high-level library to train embodied AI agents across a variety of tasks and environments.
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Stars
- habitat-lab
- 3.1k
- LlamaFactory
- 73k
Forks
- habitat-lab
- 680
- LlamaFactory
- 8.9k
Open issues
- habitat-lab
- 388
- LlamaFactory
- 1.1k
Language
- habitat-lab
- Python
- LlamaFactory
- Python
Adopt for
- habitat-lab
- -
- LlamaFactory
- LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization.
Persona
- habitat-lab
- -
- LlamaFactory
- -
Runtime
- habitat-lab
- -
- LlamaFactory
- -
License
- habitat-lab
- MIT
- LlamaFactory
- Apache-2.0
Last pushed
- habitat-lab
- May 7, 2026
- LlamaFactory
- Jul 10, 2026
Categories
- habitat-lab
- AI Agents, LLM Frameworks, Model Training
- LlamaFactory
- LLM Frameworks, Model Training
Trust and health
Maintenance
- habitat-lab
- Steady (60%)
- LlamaFactory
- Very active (96%)
Days since push
- habitat-lab
- 64d
- LlamaFactory
- 0d
Open issues (now)
- habitat-lab
- 388
- LlamaFactory
- 1.1k
Owner type
- habitat-lab
- Organization
- LlamaFactory
- User
Full report
- habitat-lab
- Trust report
- LlamaFactory
- Trust report
Choose habitat-lab if…
- License: habitat-lab is MIT, LlamaFactory is Apache-2.0.
- Tags unique to habitat-lab: research, reinforcement-learning, deep-learning, python.
- Also covers AI Agents.
- habitat-lab ships Docker support for self-hosted deployment.
When NOT to use habitat-lab
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose LlamaFactory if…
- License: LlamaFactory is Apache-2.0, habitat-lab is MIT.
- Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, instruction-tuning.
- When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
When NOT to use LlamaFactory
- When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory.
- If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa
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 Jul 11, 2026
- GitHub forks (facebookresearch/habitat-lab) · observed Jul 11, 2026
- Last push (facebookresearch/habitat-lab) · observed May 7, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (hiyouga/LlamaFactory) · observed Jul 11, 2026
- GitHub forks (hiyouga/LlamaFactory) · observed Jul 11, 2026
- Last push (hiyouga/LlamaFactory) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: habitat-lab 3.1k · LlamaFactory 73k (synced Jul 11, 2026).
Common questions
- What is the difference between habitat-lab and LlamaFactory?
- habitat-lab: A modular high-level library to train embodied AI agents across a variety of tasks and environments.. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose habitat-lab over LlamaFactory?
- Choose habitat-lab over LlamaFactory when License: habitat-lab is MIT, LlamaFactory is Apache-2.0; Tags unique to habitat-lab: research, reinforcement-learning, deep-learning, python; Also covers AI Agents; habitat-lab ships Docker support for self-hosted deployment.
- When should I choose LlamaFactory over habitat-lab?
- Choose LlamaFactory over habitat-lab when License: LlamaFactory is Apache-2.0, habitat-lab is MIT; Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, instruction-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- When should I avoid habitat-lab?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid LlamaFactory?
- When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa
- Is habitat-lab or LlamaFactory more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 3,053). Stars measure visibility, not whether either tool fits your constraints.
- Are habitat-lab and LlamaFactory open source?
- Yes - both are open-source projects on GitHub (habitat-lab: MIT, LlamaFactory: Apache-2.0).
- Where can I find alternatives to habitat-lab or LlamaFactory?
- GraphCanon lists graph-backed alternatives at habitat-lab alternatives and LlamaFactory alternatives (habitat-lab markdown twin, LlamaFactory 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 LlamaFactory?
- habitat-lab: Steady. LlamaFactory: Very active. 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 LlamaFactory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: habitat-lab trust report; LlamaFactory trust report.