A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
- notebooks
- python
- data-science
- machine-learning
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A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Turns Data and AI algorithms into production-ready web applications in no time.
📚 Parameterize, execute, and analyze notebooks
Elyra extends JupyterLab with an AI centric approach.
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Build, test, deploy, iterate - Dev and prod tool for data science pipelines