Everything You Need to Build AI
From data exploration to production deployment, OpenModelStudio covers the entire ML lifecycle.
For Data Scientists
- Project Management with stage-based workflow
- In-browser Model Editor (Monaco, Python + Rust)
- Real-Time Training with live loss curves via SSE
- Generative Output Viewer for video/image/audio
- Experiment Tracking with parallel coordinates
- Multi-IDE Workspaces — JupyterLab, VSCode, and more
- LLM Assistant for natural language control
- AutoML with hyperparameter search
- Feature Store for reusable features
For ML Engineers
- Kubernetes-Native — every model in its own pod
- CPU or GPU — runs on any hardware, anywhere
- Rust API — high-performance Axum + SQLx backend
- GraphQL — auto-generated from PostgreSQL
- Streaming Data — never load full datasets to disk
- One-Command Deploy — make k8s-deploy
For Researchers
- Reproducible Experiments — full session snapshots
- PyTorch + Rust-Torch — write models in either
- Consumer Hardware — train on laptops, not GPU clusters
- Artifact Versioning tied to git commits
- Dataset Streaming — work with massive datasets locally
- Collaborative Workspaces — share and iterate together
Kubernetes-Native Architecture
Every component runs in its own pod. Models train in ephemeral jobs. Data streams — never stored on disk.
Kind Cluster
Frontend
Next.js + shadcn/ui
Rust API
High-performance Axum
PostGraphile
Auto-generated GraphQL
Workspaces
Jupyter, VSCode, and more
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PostgreSQL
System of record
Model Runners
Ephemeral CPU/GPU pods
Training Job Lifecycle
Train
User triggers
K8s Job
API creates
Pod
Model trains
SSE
Metrics stream
Charts
Live updates
Artifacts
Results saved
See It In Action
A modern, beautiful interface for every step of your ML workflow.
OpenModelStudio — Dashboard
OpenModelStudio — Workspaces
Built With the Best
Modern, battle-tested technologies at every layer of the stack.
Next.js
React
Rust
Axum
PostgreSQL
Kubernetes
PyTorch
Docker
GraphQL
TypeScript
Tailwind CSS
shadcn/ui
Up and Running in Minutes
Three commands. That's it. Docker, Kind, and make handle the rest.
Clone
Get the code from GitHub
Configure
Prerequisites auto-detected
Deploy
One command, full platform
Terminal — zsh
Join the Community
OpenModelStudio is open source under GPL-3.0. Star us on GitHub, join our Discord, or contribute directly.
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