ML Pipelines. On Your Machine. No Cloud Bills.
Build, train, and deploy machine learning models with drag-and-drop. Your data never leaves your laptop.
Requires macOS 12+, Python 3.9+
Everything You Need for Local ML
From data loading to model deployment—all on your machine.
Train Models in Minutes
Visual forms replace boilerplate. Pick algorithm, set params, click Train.
Understand Your Models
SHAP plots and feature importance explain every prediction.
Find Best Hyperparameters
Optuna runs 100 trials while you grab coffee.
Compare Every Experiment
Tag runs, track metrics, never lose a good model.
Deploy Without DevOps
One-click HTTP server. Test in the playground.
Keep Data Private
No cloud uploads. No accounts. Just your machine.
How It Works
Three steps from data to deployment.
Load Data
Drag & drop CSV or Parquet files
Configure Model
Visual forms, no code needed
Train & Deploy
One-click serve via HTTP API
Download MLOps Desktop
Start building ML pipelines in minutes.
Requires macOS 12+ and Python 3.9+
Get Notified for Windows & Linux
We're working on bringing MLOps Desktop to more platforms.