👋 I am disabling input while I build a new version that does not rely on Twitter's $100 / mo API.

Streamlit Announces Feature Roadmap for 2023 and Beyond

Streamlit has announced its feature roadmap for 2023 and beyond which includes plans for improved support for multiple languages, enhanced collaboration tools, improved deployment options, an enterprise version of its platform with additional security features, increased community engagement initiatives such as hackathons and meetups around the world plus more resources such as tutorials and webinars

A photo of a computer screen displaying code written in Python alongside an illustration of a person working on their laptop

A photo of a computer screen displaying code written in Python alongside an illustration of a person working on their laptop

Streamlit, the open-source app framework for data science and machine learning, has announced its feature roadmap for 2023 and beyond. The roadmap outlines a range of new features that will be available to users in the coming years. The roadmap includes plans to add new features such as improved support for multiple languages, enhanced collaboration tools, improved deployment options, and more. Additionally, Streamlit is planning to introduce new products such as an enterprise version of its platform with additional security features. Streamlit CEO Adrien Treuille said that the company’s goal is to make it easier than ever for developers to build data-driven applications quickly and easily. “We want to give developers access to powerful tools that allow them to create amazing applications without having to spend time on complex coding or infrastructure setup," he said. In addition to the feature roadmap announcement, Streamlit also revealed plans for increased community engagement over the next few years. This includes hosting hackathons and meetups around the world, launching a developer certification program, and offering more resources such as tutorials and webinars. Treuille believes that these initiatives will help bring together a global community of developers who are passionate about building great applications with Streamlit. “We’re excited about this next step in our journey towards making data science easier than ever before," he said.