Awesome Data Analysis
Section: Tools · Turn Jupyter notebooks into standalone web applications.
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Appears in 4 awesome lists
Voilà turns Jupyter notebooks into standalone web applications that can e.g. be used as dashboards.
Section: Tools · Turn Jupyter notebooks into standalone web applications.
Section: Runtimes/Frontends · Notebooks as interactive standalone web applications.
Section: Data Science Notebook · Voilà turns Jupyter notebooks into standalone web applications that can e.g. be used as dashboards.
Section: Data Visualization and Mission Control · From Jupyter notebooks to standalone web applications and dashboards.
Build and share delightful machine learning apps, all in Python. The de facto standard for creating interactive ML demos with automatic UI generation from function signatures. Powers thousands of Hugging Face Spaces.
The fastest way to build and share data apps. Transform Python scripts into beautiful web applications with minimal code. Widely used for ML model demos, data visualization, and internal tools.
All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).
A framework for creating analytical web applications built on top of Plotly.js, React, and Flask
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps.
The Jupyter notebook is a web-based notebook environment for interactive computing.