lightly-train
All-in-one training for vision models: pretraining, fine-tuning, distillation.
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Lightly-train is a Python-based framework focused on training vision models including YOLO, ViTs, RT-DETR, and DINOv3, offering comprehensive features like pretraining, fine-tuning, and distillation.
- Requirements:
- Min 8 GB RAM
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (5d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 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 lightly-train PyPISimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A Python-based repository providing comprehensive tools and methods for the training of various computer vision models including YOLO, ViTs, RT-DETR, and DINOv3 with support for pretraining, fine-tuning, and knowledge distillation techniques.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 20, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
Install Lightly**Train** on Python 3.8+ for Windows, Linux or MacOS with:Source link
Tags
README
Installation Install Lightly Train on Python 3.8+ for Windows, Linux or MacOS with: License Lightly Train offers flexible licensing options to suit your specific needs: AGPL 3.0 License : Perfect for open source projects, academic research, and community contributions. Share your...
For agents
This page has a .md twin and JSON over the API.