Vizier is a data exploration and ETL workflow system disguised as a notebook: a workbook. Get the power, reliability, and reproducibility of a workflow system based on Apache Spark without sacrificing the comfort of your notebook.
Vizier automatically figures out inter-cell dependencies in your workbook. When you make a change, Vizier reactively re-runs dependent cells. Vizier lets you re-start the notebook from any cell, instantly.
Compare to a kernel-based notebook like Jupyter, where running a cell just pastes it into a running interpreter, and where a dead kernel costs you a day of productivity.
Vizier is designed from the ground up to let you use multiple languages in tandem, with existing support for Python, Scala, and SQL, as well as several graphical widgets for data import/export, and visualization.
Vizier gives you a bird's-eye view of your notebook, with a table-of-contents, a quick reference to your notebook's variables (artifacts), and quick documentation links.
Vizier automatically keeps a history of changes to your notebook (like GIT), portably manages python environments, and integrates natively with Apache Spark, Apache Sedona and Mimir Lenses,