Open source alternatives to Data science stack (DSS)
50 open source AI apps to use instead, best rated first.
Top picks
- O

Open WebUI
LaunchSelf-hosted AI platform that connects local and cloud models, extends with Python, and keeps your data under your control.
Self-hosted
- A

AutoGPT
LaunchPlatform for building, deploying, and running AI agents that automate repeatable digital work across research, outreach, content, and support without writing code.
- P

pi
LaunchTerminal-based coding agent with a minimal core, 15+ LLM providers, tree-structured session history, and a TypeScript extension system for building your own workflows.
- A

AFFiNE
LaunchAn open-source, local-first knowledge base that merges structured docs, infinite whiteboards, databases, and AI into a single workspace for teams and creators.
- A

aider
LaunchTerminal-based AI coding tool that lets you edit existing codebases or start new projects using LLMs like Claude, GPT, and DeepSeek.
- A

AppFlowy
LaunchOpen source collaborative workspace combining notes, databases, and AI with full data ownership, offline support, and self-hosting options.
More AI apps
About Data science stack (DSS)

Data science stack (DSS)
ML environments at ease on your AI workstation
Data science stack (DSS) is a ready-to-run environment for machine learning and data science. It’s built on open-source tooling (including MicroK8s, JupyterLab and MLFlow) and is usable on any Ubuntu/Snap-enabled workstation. DSS provides a CLI for managing containerised ML environment images such as PyTorch or TensorFlow, on top of MicroK8s.
- Price
- Free
- Made by
- Canonical
- Category
- AI
- Website
- ubuntu.com



