Data Processing Toolkit
Project description
DKit (Data Toolkit)
Data processing toolkit. General purpose data processing library in Python:
- ETL
- maintain schemas
- schema transforms
- transform from one format to the other
- support many different formats (see below)
- Data Exploration
- Data manipulation
- Report generation using Latex and Reportlab
- Extensive test coverage (>70%)
Data formats
Include extensions that facilitate reading data, transforming it and then and writing to any of the following formats:
- Parquet (using pyarrow)
- SQL (using any SQLAlchemy enabled database)
- Messagepack
- HDF5
- XML
- json and jsonl
- CSV
- Excel
- Apache Avro
Schema Generation
Support schema generation for the following:
- Apache Arrow
- Apache Avro
- SQL (via Sqlalchemy)
- Spark
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