onyx vs llm-app

Common questions

What is the difference between onyx and llm-app?

onyx: Open Source AI Platform - AI Chat with advanced features that works with every LLM. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. See the comparison table for live GitHub stats and shared categories.

When should I choose onyx over llm-app?

Choose onyx over llm-app when onyx is primarily Python; llm-app is Jupyter Notebook; License: onyx is Other, llm-app is MIT; Pricing: Onyx Community Edition is free under the MIT license, while the Enterprise Edition includes extra features for larger organizations and requires a paid subscription.; Requirements: Min 1 GB RAM; Lite mode requires under 1GB of memory, while Standard mode requires more resources for its additional features.; Both Onyx and llm-app are platforms that use LLMs for creating applications with features like RAG (Retrieval-Augmented Generation) and enterprise search. They offer similar functionality but are different implementations; Tags unique to onyx: ai-chat, chatui, enterprise-search, gen-ai; Also covers AI Agents, Developer Tools; use Onyx when you need a platform that supports both lightweight and full-featured deployments, including vector and keyword indexing, and performance optimizations for large-scale use.

When should I choose llm-app over onyx?

Choose llm-app over onyx when llm-app is primarily Jupyter Notebook; onyx is Python; License: llm-app is MIT, onyx is Other; Pricing: The repository is open-source under the MIT License, but additional services or support might incur costs.; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for running the cloud templates.; Supports integration with a variety of data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.; Both Onyx and llm-app are platforms that use LLMs for creating applications with features like RAG (Retrieval-Augmented Generation) and enterprise search. They offer similar functionality but are different implementations; Tags unique to llm-app: chatbot, hugging-face, llm-local, llm-prompting; Also covers Evaluation & Observability; When you need ready-to-run cloud templates for RAG, AI pipelines, and enterprise search that integrate seamlessly with data sources such as Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-ti.

When should I avoid onyx?

avoid Onyx if you are looking for a platform that requires minimal setup and resource usage beyond what the Lite mode offers. do not use Onyx if your project does not benefit from vector and keyword indexing, AI model inference servers, or performance optimizations, as these features are only available in the Standard mode.

When should I avoid llm-app?

Avoid using llm-app if your project does not require integration with specific data sources like Sharepoint or Google Drive, as the tool's strength lies in its broad data source support. Do not use llm-app if you are looking for a tool that focuses solely on model training or inference without the need for cloud templates or enterprise search capabilities.

Is onyx or llm-app more popular on GitHub?

llm-app has more GitHub stars (58,920 vs 32,153). Stars measure visibility, not whether either tool fits your constraints.

Are onyx and llm-app open source?

Yes - both are open-source projects on GitHub (onyx: Other, llm-app: MIT).

Where can I find alternatives to onyx or llm-app?

GraphCanon lists graph-backed alternatives at onyx alternatives and llm-app alternatives (onyx markdown twin, llm-app markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, onyx or llm-app?

onyx: Very active. llm-app: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for onyx and llm-app?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: onyx trust report; llm-app trust report.