Compare/Gradio vs Onyx

AI tool comparison

Gradio vs Onyx

Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.

G

AI Assistants

Gradio

Build ML demos and share them

Ship

100%

Panel ship

Community

Free

Entry

Gradio creates web UIs for ML models with a few lines of Python. Share demos via Hugging Face Spaces. The standard for ML model demonstrations.

O

AI Assistants

Onyx

Open-source AI chat with enterprise RAG that runs anywhere

Ship

75%

Panel ship

Community

Free

Entry

Onyx is a fully open-source AI platform that brings together chat, agentic RAG, deep research, and custom agents in a single self-hostable application. Unlike cloud-only alternatives, Onyx runs on Docker, Kubernetes, or any major cloud provider, giving teams complete control over their data and deployment. The platform connects to 50+ data sources via indexing connectors and supports every major LLM provider — from self-hosted Ollama models to OpenAI and Anthropic. Its hybrid search combines keyword and vector indexing, while multi-step research agents ranked top on their benchmark as of February 2026. Onyx ships in two editions: a Community Edition (MIT-licensed) covering chat, RAG, agents, and actions, and an Enterprise Edition adding SSO, RBAC, audit logs, and whitelabeling. With nearly 24k GitHub stars and 4k new this week, it's become the de facto open-source alternative to tools like Glean and Guru.

Decision
Gradio
Onyx
Panel verdict
Ship · 3 ship / 0 skip
Ship · 3 ship / 1 skip
Community
No community votes yet
No community votes yet
Pricing
Free and open source
Free / Open Source (Enterprise Edition available)
Best for
Build ML demos and share them
Open-source AI chat with enterprise RAG that runs anywhere
Category
AI Assistants
AI Assistants

Reviewer scorecard

Builder
80/100 · ship

Three lines of Python to a shareable ML demo. The component library covers every ML input/output type.

80/100 · ship

If you've been paying for Glean or Guru, Onyx is your escape hatch. Self-hosting is straightforward with Docker, and the 50+ connectors cover virtually every data source your team needs. The hybrid search quality is genuinely competitive.

Skeptic
80/100 · ship

The fastest way to demo an ML model. Hugging Face Spaces hosting makes sharing effortless.

45/100 · skip

Self-hosting a full AI platform isn't actually free — you're paying in ops overhead, GPU costs, and the engineer-hours to maintain it. The enterprise features that actually matter (SSO, RBAC) are paywalled behind a license that isn't priced publicly, which is a red flag for budget planning.

Creator
80/100 · ship

The pre-built components for images, audio, video, and text make ML accessible to non-developers.

80/100 · ship

For content teams that need AI over their own knowledge base without shipping documents to a third-party cloud, Onyx is a genuine solution. The voice mode and image generation are unexpected bonuses that make it a complete workspace.

Futurist
No panel take
80/100 · ship

Onyx represents a critical counter-movement to AI centralization. As enterprise AI spending scrutiny intensifies, self-hostable alternatives with full data sovereignty will capture the compliance-sensitive markets that hyperscalers are locked out of.

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