Data Science
Build ETL pipelines visually. Preprocess, transform, and analyze without context-switching between Jupyter and your code editor. Share interactive notebooks with stakeholders via link.
Visual dataflow programming
Stop writing boilerplate data transformation code. Drag and drop data sources, transformations, and sinks. See your entire pipeline at a glance, catch errors before they propagate, and iterate faster.
Load data from JSON and CSV files — Excel support coming soon- Built-in transformations: filter, map, aggregate, join, window
- Real-time preview of data at any pipeline stage
- Save results to your workspace or download them
Interactive visualization blocks
Build dashboards that update in real-time. Connect charts, tables, and metrics directly to your data pipeline. Share live links with stakeholders—no screenshots needed.
- Live-updating charts and tables
- Shareable dashboards with permissions
From raw data to results
Load your data, transform and process it visually, preview every step, then keep the results in your cloud-synced workspace or download them.
Load
Import JSON and CSV files into your pipeline. Excel support is coming soon.
Transform & Process
Filter, map, aggregate, join, and window your data with visual blocks — and preview the result at every stage.
Store or Download
Save results to your workspace, synced to the cloud, or download them to your machine.
Ready to streamline your data workflows?
Join data teams who've replaced complex orchestration code with visual pipelines.
