Gitea: Git with a cup of tea

Data and Machine Learning collaboration

Effortless Data Versioning with DVC

Take control of your data with built-in DVC support in our Sandbox environment. Easily version and manage images, audio, video, and text files while structuring your ML workflows for full reproducibility.

✔ Seamless integration with cloud storage
✔ Track data like code – Git-style versioning
✔ Collaborate effortlessly on ML experiments
🔧 No complex setup required – get started instantly!

Machine Learning Experiment Tracking

Designed for developers & teams, our platform enables collaborative, git-based ML experiment tracking. Easily version, compare, and share models, datasets, and metrics—all in a cross-platform, reproducible workflow.

✔ Seamless team collaboration on ML projects
✔ Git-powered versioning for models & data
✔ Fully reproducible experiments

Run Any Project with DevPod & DevContainers

Effortlessly run any project, anytime with DevPod and devContainers. Spin up fully isolated, reproducible environments in seconds—no complex setup required.

✔ Works with any tech stack – Python, Go, Node.js, and more
✔ Portable & consistent environments across machines
✔ Instant onboarding & seamless collaboration for teams

Execute Any Code on Your Own Remote Machines

Run any code, anytime, anywhere—on your own remote machines. With full control over execution environments, you can securely deploy and test workloads without local limitations.

✔ Run any tech stack on your own infrastructure
✔ Full control over resources & execution
✔ Seamless remote development with no local overhead