langflow VS langchain

Compare langflow vs langchain and see what are their differences.

langflow

⛓️ Langflow is a dynamic graph where each node is an executable unit. Its modular and interactive design fosters rapid experimentation and prototyping, pushing hard on the limits of creativity. (by langflow-ai)

langchain

🦜🔗 Build context-aware reasoning applications (by langchain-ai)
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langflow langchain
28 33
17,467 83,874
12.6% 3.9%
10.0 10.0
5 days ago 3 days ago
JavaScript Python
MIT License MIT License
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.

langflow

Posts with mentions or reviews of langflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-08.

langchain

Posts with mentions or reviews of langchain. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-04.

What are some alternatives?

When comparing langflow and langchain you can also consider the following projects:

Flowise - Drag & drop UI to build your customized LLM flow

llama_index - LlamaIndex is a data framework for your LLM applications

langchain-visualizer - Visualization and debugging tool for LangChain workflows

semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps

private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

Local-LLM-Comparison-Colab-UI - Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.

griptape - Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

GPTQ-for-LLaMa - 4 bits quantization of LLaMa using GPTQ

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

serge - A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.