Self-hosted alternatives to Data science stack (DSS)
50 self-hosted AI apps to use instead, best rated first.
Top picks
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Open WebUI
LaunchSelf-hosted AI platform that connects local and cloud models, extends with Python, and keeps your data under your control.
Self-hosted
- J

Jan
LaunchJan runs open-source AI models on your own hardware or connects to cloud providers like OpenAI, Anthropic, and Google, keeping your conversations off third-party servers.
Self-hosted
- O

Ollama
LaunchRuns open-source language models locally with a simple setup, plus optional cloud access for larger models when local hardware isn't enough.
Self-hosted
- U
Unsloth
LaunchUnsloth Desktop is the first desktop app to run and train AI models locally, with research, export and deployment from the same open-source app on Windows, macOS and Linux. Run and train LLMs and diffusion models including Kimi K3, MiniMax-
Self-hosted
- P

PhotoPrism
LaunchPhotoPrism® is an AI-Powered Photos App designed for the Decentralized Web. It leverages advanced technologies to automatically tag and find pictures without intruding on your workflow. You can deploy it at home, on a private server, or in
Self-hosted
- N

Netron
LaunchThis Snap is deprecated. Please migrate to .deb or .rpm. https://github.com/lutzroeder/netron/issues/1500
Self-hosted
More AI apps
Univer Workspace
An open-source Office workspace where people and AI agents create, collaborate
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

