DataPilot

DataPilot: Open-Source Data Preparation Workflow

An open-source data preparation and workflow management software for visually building workflows using a drag-and-drop interface

What is DataPilot?

DataPilot is an open-source data preparation and workflow management software. It allows users to visually build workflows for processing, transforming, analyzing, and reporting on data using a drag-and-drop interface.

Key features include:

• Intuitive graphical interface for building workflows with drag-and-drop components
• Connect to various data sources including files, databases, APIs, etc.
• Transform and prepare data through steps like cleaning, joining, filtering, aggregations, pivoting, etc.
• Powerful data profiling to analyze and understand data
• Output results to files, databases, dashboards and applications
• Extend functionality through plugins
• Schedule and orchestrate workflows
• Collaboration features to share workflows and datasets

DataPilot speeds up the process of getting from raw data to actionable insights. With no coding required, analysts and data scientists can be more self-sufficient in extracting value out of data. The visual workflows also help improve transparency in the analysis process.

DataPilot is designed to integrate into modern data architectures, complementing databases, data warehouses, notebooks and business intelligence tools. The open-source model encourages customization and community development.

DataPilot Features

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