38 sample
- Dataset A example
- Dataset B example
- Dataset C example
- Dataset D example
- Dataset E example
Analyze data your way
Explore datasets with SQL and Python notebooks, then visualize results in your workspace.
Explore data, write SQL and Python, build visual pipelines, and orchestrate reusable workflows in one Horigin Studio workspace.
Bring datasets into one focused workspace. Explore tables, write SQL and Python, and work with familiar tools.
Clean, filter, join and reshape datasets with Visual ETL. Build pipelines from connected transformation steps.
Connect notebooks and data pipelines into reusable workflows, with AI-assisted tools available across the workspace.
Bring CSV, Parquet and JSON data into your workspace.
Use SQL and Python notebooks to investigate your data.
Build connected data transformations in Visual ETL.
Work with outputs and reusable workflows.
Analyze, transform, automate and explore with AI-assisted tools in one Horigin Studio workspace.
Explore datasets with SQL and Python notebooks, then visualize results in your workspace.
Preview outputs and inspect pipeline execution results as you work.
Build connected Source, Transform and Output steps in a visual pipeline.
Write queries and explore data using familiar notebook workflows.
Filter, join, aggregate and reshape data with reusable steps.
Horigin supports local-first workflows and project connections. Data handling depends on your chosen execution mode and connected services.
Review runs and activity for reusable workflows from your Horigin project.
Explore datasets, build visual pipelines and connect your workflows in Horigin Studio.