Self-hosted alternatives to Zoa Research
50 self-hosted 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.
Open sourceSelf-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.
Open sourceSelf-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.
Open sourceSelf-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-
FreeOpen sourceSelf-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
FreeOpen sourceSelf-hosted
- N

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

Zoa Research
Powerful quantitative forecasting models
Historically, quantitative models are domain specific. Brilliant people spend their best years testing features, tuning hyperparameters, and iterating architectures within a narrow domain. But scale is the panacea: large models will find patterns people, and specialized models, could not. Forecasting generalizes. Zoa trains cross-domain event forecasting engines.
- Made by
- Zoa Research
- Category
- AI
- Website
- zoaresearch.com

