langchain-llm-katas VS ChainFury

Compare langchain-llm-katas vs ChainFury and see what are their differences.


This is a an open-source project designed to help you improve your skills with AI engineering using LLMs and the langchain library (by jondot)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
langchain-llm-katas ChainFury
2 3
18 393
- 2.5%
5.4 9.0
9 months ago 16 days ago
Python Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of langchain-llm-katas. We have used some of these posts to build our list of alternatives and similar projects.


Posts with mentions or reviews of ChainFury. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing langchain-llm-katas and ChainFury you can also consider the following projects:

dify - Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

autolabel - Label, clean and enrich text datasets with LLMs.

RasaGPT - 💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram

anything-llm - The all-in-one AI application, tool suite, and API for RAG & Agents for Docker & Desktop.