dify
chainlit
| dify | chainlit | |
|---|---|---|
| 12 | 7 | |
| 25,645 | 5,401 | |
| 29.1% | 5.6% | |
| 9.9 | 9.7 | |
| 2 days ago | 8 days ago | |
| TypeScript | TypeScript | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
dify
- FLaNK AI Weekly for 29 April 2024
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Dify, a visual workflow to build/test LLM applications
> https://github.com/langgenius/dify/blob/main/LICENSE
everyone is apparently a license pioneer
- Dify, an end-to-end, visualized workflow to build/test LLM applications
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GreptimeAI + Xinference - Efficient Deployment and Monitoring of Your LLM Applications
Xorbits Inference (Xinference) is an open-source platform to streamline the operation and integration of a wide array of AI models. With Xinference, you’re empowered to run inference using any open-source LLMs, embedding models, and multimodal models either in the cloud or on your own premises, and create robust AI-driven applications. It provides a RESTful API compatible with OpenAI API, Python SDK, CLI, and WebUI. Furthermore, it integrates third-party developer tools like LangChain, LlamaIndex, and Dify, facilitating model integration and development.
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Which LLM framework(s) do you use in production and why?
If you are looking to develop QnA or chat based apps then check out https://dify.ai. Do a quick check and see if it fit your requirements. You can integrate it with your app using the apis it provides
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New Discoveries in No-Code AI App Building with ChatGPT
As an AI newbie, I used to find coding apps from scratch an absolute nightmare! The learning curve was steep as a ski slope, debugging took endless hours, and developing even a simple AI app nearly drove me insane! But since discovering Dify, it has totally revolutionized my life by enabling app development without any coding skills!
- FLaNK Stack Weekly for 14 Aug 2023
- Interesting LLMOps Tools Dify.ai
- Dify.ai – Simply create and operate AI-native apps based on GPT-4
- langgenius/dify: One API for plugins and datasets, one interface for prompt engineering and visual operation, all for creating powerful AI applications.
chainlit
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Chat with your Github Repo using llama_index and chainlit
chainlit is open source project that makes it very easy to build frontend interfaces like chatgpt and other features that are required for conversational ai app, so we can focus on the core part and don't need to worry about basic things, and it is dead simple to work with
- Show HN: I made an app to use local AI as daily driver
- Help with conversational_qa_chain - Streamlit Messages
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AI Chatbot powered by Amazon Bedrock 🚀🤖
I have created a sample chatbot application that uses Chainlit and LangChain to showcase Amazon Bedrock.
- Chainlit: Create ChatGPT-like UIs on top of Python code
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Personal movie recommendation agent with GPT4 + Neo4J
For the interface, I'm using chainlit, a new UI library for building LLM apps, with an integration with Langchain.
- Chainlit/chainlit: Build Python LLM apps in minutes ⚡️
What are some alternatives?
langchain-llm-katas - This is a an open-source project designed to help you improve your skills with AI engineering using LLMs and the langchain library
langchain - 🦜🔗 Build context-aware reasoning applications
litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
nitro - Create apps 10x quicker, without Javascript/HTML/CSS.
duet-gpt - A conversational semi-autonomous developer assistant. AI pair programming without the copypasta.
web-llm - Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.
IncognitoPilot - An AI code interpreter for sensitive data, powered by GPT-4 or Code Llama / Llama 2.
react-llm - Easy-to-use headless React Hooks to run LLMs in the browser with WebGPU. Just useLLM().
jdbc-connector-for-apache-kafka - Aiven's JDBC Sink and Source Connectors for Apache Kafka®
FreedomGPT - This codebase is for a React and Electron-based app that executes the FreedomGPT LLM locally (offline and private) on Mac and Windows using a chat-based interface
kudu - Mirror of Apache Kudu
open-webui - User-friendly WebUI for LLMs (Formerly Ollama WebUI)