langchain VS burr

Compare langchain vs burr and see what are their differences.

langchain

Elixir implementation of a LangChain style framework. (by brainlid)

burr

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, persist, and execute on your own infrastructure. (by DAGWorks-Inc)
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langchain burr
1 3
449 463
- 11.4%
9.5 9.7
10 days ago 6 days ago
Elixir Python
Apache License 2.0 BSD 3-clause Clear 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.

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 2024-04-10.

burr

Posts with mentions or reviews of burr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-26.

What are some alternatives?

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

InternGPT - InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)

zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

instructor_ex - Structured outputs for LLMs in Elixir

jina - ☁️ Build multimodal AI applications with cloud-native stack

chatgpt-ui - ChatGPT UI with auth, OpenAI, Claude, Gemini support, written in Elixir + LiveView

giskard - 🐢 Open-Source Evaluation & Testing for LLMs and ML models