Our platform is built with a diverse audience in mind, spanning across academia. Whether you're advancing knowledge, teaching it, learning it, or building the tools that support it, there's something here for you. Students Use Jupyter notebooks with Python, R, and data science libraries like pandas, NumPy, and matplotlib — directly in your browser. Instructors Run data analysis, simulations, or ML applications using Python, R, TensorFlow, and more — all in scalable Jupyter notebooks with Kubernetes support. Open Source Share and collaborate on projects using notebooks and tools like JupyterLab, Git, and Conda — with consistent cloud-based environments for all contributors. Researchers Run data analysis, simulations, or ML applications using Python, R, TensorFlow, and more — all in scalable Jupyter notebooks with Kubernetes support. Software Development Develop and test apps in containerized, reproducible environments managed by Kubernetes.