dify

Dify addresses the need for streamlined AI workflow management, enabling ML/AI teams to build and deploy Agentic workflows and RAG pipelines efficiently. This open source tool for engineering teams offers rich model and tool support within a collaborative workspace, making it production-ready and suitable for various deployment options, including cloud and self-hosted environments. With a remarkable growth trend of 35.1% over 356 days, Dify demonstrates its increasing relevance and adoption in the industry. However, it may not be the right choice for teams seeking a highly specialised tool for niche AI tasks or those requiring extensive customisation beyond its current offerings.

Dify is a strong choice when teams need a versatile, production-ready solution for managing AI workflows and integrating various models and tools seamlessly. Teams should consider alternatives if they require a more tailored approach or specific functionalities not covered by Dify.

This tool is particularly beneficial for data scientists, machine learning engineers, and AI developers who need to collaborate on complex projects. It is commonly integrated into products and systems that require robust AI capabilities, such as data processing pipelines and automated decision-making frameworks.

Latest commit: 2026-11-01. Over the past 355 days, this repository gained 41.6k stars (+35.1% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.