langchain-streamlit-demo and streamlit-llm-apps

Both projects are independent demonstrations of building LLM applications with Streamlit and LangChain, making them **competitors** in the sense that a developer would likely choose one over the other as a starting point or reference for their own application.

streamlit-llm-apps
29
Experimental
Maintenance 10/25
Adoption 6/25
Maturity 16/25
Community 17/25
Maintenance 0/25
Adoption 5/25
Maturity 8/25
Community 16/25
Stars: 17
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 11
Forks: 7
Downloads:
Commits (30d): 0
Language: Python
License:
No Package No Dependents
No License Stale 6m No Package No Dependents

About langchain-streamlit-demo

joshuasundance-swca/langchain-streamlit-demo

langchain-streamlit demo with streaming llm, memory, and langsmith feedback

This project helps developers quickly set up and test a conversational AI chatbot. It takes user input, processes it using various large language models (LLMs) like OpenAI's GPT or Anthropic's Claude, and outputs streaming, intelligent responses. This is ideal for developers who want to experiment with or build custom chatbot applications.

chatbot-development conversational-ai LLM-integration AI-application-prototyping developer-tooling

About streamlit-llm-apps

rexsimiloluwah/streamlit-llm-apps

LLM Applications built using Streamlit, LangChain, and OpenAI API

This suite of applications helps you quickly get answers or have conversations about your documents and web pages. You provide a PDF file or a web link, and then you can ask questions or chat directly with the content. This is designed for anyone who needs to extract information or understand complex texts without manually sifting through them.

document-analysis information-retrieval content-qa research-assistance knowledge-extraction

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