Comparison
lightly-train vs onepanel
Verdict
Pick lightly-train if 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; pick onepanel if onepanel is an open source tool designed for computer vision projects with capabilities spanning from data labeling to model tuning and deployment, all supported by a Go-based codebase under the.
Markdown twin · lightly-train alternatives · onepanel alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | lightly-train | onepanel |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1mo · github_public_v1 | Dormant (1252d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1mo · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · 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
- lightly-train
- All-in-one training for vision models: pretraining, fine-tuning, distillation.
- onepanel
- The open source, end-to-end computer vision platform.
Stars
- lightly-train
- 1.6k
- onepanel
- 730
Forks
- lightly-train
- 91
- onepanel
- 73
Open issues
- lightly-train
- 63
- onepanel
- 102
Language
- lightly-train
- Python
- onepanel
- Go
Adopt for
- lightly-train
- 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.
- onepanel
- Onepanel is an open source tool designed for computer vision projects with capabilities spanning from data labeling to model tuning and deployment, all supported by a Go-based codebase under the Apache-2.0 license.
Persona
- lightly-train
- -
- onepanel
- -
Runtime
- lightly-train
- -
- onepanel
- -
License
- lightly-train
- AGPL-3.0
- onepanel
- Apache-2.0
Last pushed
- lightly-train
- Jul 22, 2026
- onepanel
- Feb 25, 2023
Categories
- lightly-train
- Computer Vision, Model Training
- onepanel
- Computer Vision, Inference & Serving, Model Training
Trust and health
Maintenance
- lightly-train
- Very active (96%)
- onepanel
- Dormant (18%)
Days since push
- lightly-train
- 0d
- onepanel
- 1252d
Open issues (now)
- lightly-train
- 63
- onepanel
- 102
OSV dependency advisories
- lightly-train
- No lockfile (source not queried)
- onepanel
- Published findings
Full report
- lightly-train
- Trust report
- onepanel
- Trust report
Choose lightly-train if…
- lightly-train is primarily Python; onepanel is Go.
- License: lightly-train is AGPL-3.0, onepanel is Apache-2.0.
- Requirements: Min 8 GB RAM.
- Tags unique to lightly-train: computer-vision, contrastive-learning, deep-learning, depth-estimation.
- 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.
When NOT to use lightly-train
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose onepanel if…
- onepanel is primarily Go; lightly-train is Python.
- License: onepanel is Apache-2.0, lightly-train is AGPL-3.0.
- Tags unique to onepanel: aiops, annotation, deeplearning, hyperparameter-tuning.
- Also covers Inference & Serving.
- onepanel ships Docker support for self-hosted deployment.
- When you need an end-to-end platform that supports multiple aspects of computer vision including advanced functionalities such as hyperparameter tuning and automated workflows.
When NOT to use onepanel
- Avoid using Onepanel for projects that require extensive Java-based development because it is written in Go.
- Not suitable if you seek a platform focusing solely on model serving or inference without capabilities to go back upstream into data labeling and preprocessing stages.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lightly-ai/lightly-train) · observed Jul 23, 2026
- GitHub forks (lightly-ai/lightly-train) · observed Jul 23, 2026
- Last push (lightly-ai/lightly-train) · observed Jul 22, 2026
- License file (AGPL-3.0) · observed Jul 23, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (onepanelio/onepanel) · observed Jul 31, 2026
- GitHub forks (onepanelio/onepanel) · observed Jul 31, 2026
- Last push (onepanelio/onepanel) · observed Feb 25, 2023
- License file (Apache-2.0) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lightly-train 1.6k · onepanel 730 (synced Jul 23, 2026).
Common questions
- What is the difference between lightly-train and onepanel?
- lightly-train: All-in-one training for vision models: pretraining, fine-tuning, distillation.. onepanel: The open source, end-to-end computer vision platform.. See the comparison table for live GitHub stats and shared categories.
- When should I choose lightly-train over onepanel?
- Choose lightly-train over onepanel when lightly-train is primarily Python; onepanel is Go; License: lightly-train is AGPL-3.0, onepanel is Apache-2.0; Requirements: Min 8 GB RAM; Tags unique to lightly-train: computer-vision, contrastive-learning, deep-learning, depth-estimation; 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.
- When should I choose onepanel over lightly-train?
- Choose onepanel over lightly-train when onepanel is primarily Go; lightly-train is Python; License: onepanel is Apache-2.0, lightly-train is AGPL-3.0; Tags unique to onepanel: aiops, annotation, deeplearning, hyperparameter-tuning; Also covers Inference & Serving; onepanel ships Docker support for self-hosted deployment; When you need an end-to-end platform that supports multiple aspects of computer vision including advanced functionalities such as hyperparameter tuning and automated workflows.
- When should I avoid lightly-train?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid onepanel?
- Avoid using Onepanel for projects that require extensive Java-based development because it is written in Go. Not suitable if you seek a platform focusing solely on model serving or inference without capabilities to go back upstream into data labeling and preprocessing stages.
- Is lightly-train or onepanel more popular on GitHub?
- lightly-train has more GitHub stars (1,622 vs 730). Stars measure visibility, not whether either tool fits your constraints.
- Are lightly-train and onepanel open source?
- Yes - both are open-source projects on GitHub (lightly-train: AGPL-3.0, onepanel: Apache-2.0).
- Where can I find alternatives to lightly-train or onepanel?
- GraphCanon lists graph-backed alternatives at lightly-train alternatives and onepanel alternatives (lightly-train markdown twin, onepanel 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, lightly-train or onepanel?
- lightly-train: Very active. onepanel: 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 lightly-train and onepanel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lightly-train trust report; onepanel trust report.