What is DataBlend?

DataBlend is an open source data preparation and data blending application. It provides a user-friendly graphical interface to combine data from multiple sources, clean it, and perform transformations to create analysis-ready datasets.

Some key features of DataBlend include:

• Intuitive drag-and-drop workflow interface to visually build data transformation pipelines
• Connectors to common data sources like CSV files, databases, REST APIs, etc. to ingest data
• Data profiling tools to inspect, visualize and understand data
• Built-in transformers for filtering, joining, aggregating, pivot, unpivot operations
• Support for fuzzy matching and standardization for data cleansing tasks
• Scheduling capabilities to automate pipelines
• Collaboration features to share data pipelines with others
• Open source codebase built on Python for extensibility

DataBlend makes it easy for data analysts and data scientists to rapidly combine data from diverse sources, clean it, and transform it without writing any code. This improves productivity and allows faster creation of analysis-ready datasets to generate insights.

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