OneOpen ML Studio
Open-source, local-first ML data platform — from raw data to training-ready datasets and models.
Computer vision, text, tabular, audio, video, and LLM datasets are supported. See the Roadmap for planned collaboration and enterprise depth.
Docs |
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Version |
1.0.0 |
PyPI |
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Source |
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License |
Apache-2.0 |
Local UI |
http://127.0.0.1:8765 |
Quick install
pip install "oneopen-ml-studio[yolo]"
oneopen init
oneopen start
Open http://127.0.0.1:8765 — no cloud account required.
Available today
Capability |
Description |
|---|---|
Projects |
CV, text, tabular, audio, video, and LLM workspace types |
Annotate |
Boxes, polygons, SAM, class labels, spans, transcripts, LLM fields |
Label Assist |
YOLO auto-labeling + optional SAM |
Versions |
Preprocess, augment, splits (image tasks) |
Train / Export |
YOLO / Torchvision / sklearn / HF prepare / LLM packages |
Quality & cleaning |
Readiness gate + remediating clean actions per modality |
Plugins |
On-demand install of training extras |
Target platform
See Product vision — annotation, quality, versioning, training readiness, experiments, model registry, active learning, and multi-user collaboration under one local-first / self-hosted roof.
Documentation contents
Product
Getting started
User guide
Project