langwatch vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| langwatch | awesome-llm-apps | |
|---|---|---|
| Tagline | The platform for LLM evaluations and AI agent testing | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 3.3k | 117k |
| Forks | 327 | 17k |
| Open issues | 674 | 6 |
| Language | TypeScript | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jun 15, 2026 |
| Categories | LLM Frameworks, Evaluation & Observability | AI Agents, LLM Frameworks |
langwatch
LangWatch provides tools to test, simulate, evaluate, and monitor language model-powered agents in end-to-end scenarios before release and during production. This includes features such as end-to-end agent simulations, real-time eval + observability, dataset creation, evaluation, and prompt optimization.
TypeScript
awesome-llm-apps
A repository containing a collection of AI agent and Retrieval-Augmented Generation (RAG) applications that are ready to be cloned, customized, and deployed. The projects cover various aspects such as AI agents, always-on agents, multi-agent teams, RAG techniques, voice agents, fine-tuning for specific use cases, and more.
Python