incubator-fury VS dify

For implemetation details, https://github.com/apache/incubator-fury/blob/main/java/fury... can be taken as an example

See https://github.com/alipay/fury/blob/main/docs/guide/scala_gu... for scala serialization user doc

Yes, Game is another scenario, it's very latency sensitive. Fury is very fast for such scenarios. Actually the java implememtation has been featured by some game developers. And there has always been a demand within the community for FURY to support C#: https://github.com/alipay/fury/issues/686 . I don't have experience for c#, so c# hasn't been support. We are still the community can join us for c# support.

This visual IDE for LLM pipelines was posted recently: https://github.com/langgenius/dify

See if it helps.

> https://github.com/langgenius/dify/blob/main/LICENSE

everyone is apparently a license pioneer

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.

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

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!