dataprep
An open-source Python library for low-code data preparation, offering fast EDA, data cleaning, and collection from APIs and databases.
What is dataprep?
DataPrep is an open-source Python library for low-code data preparation. It helps users collect data from various sources, perform exploratory data analysis (EDA), and clean datasets efficiently with just a few lines of code. The library addresses the time-consuming nature of data wrangling by providing fast, unified tools.
Data scientists, analysts, and developers working in Python who need to streamline data collection, cleaning, and exploratory analysis, especially those dealing with large datasets or seeking a low-code workflow.
Developers choose DataPrep for its speed (10x faster EDA than pandas-based tools), ease of use with a low-code approach, and comprehensive suite that integrates data collection, cleaning, and visualization into a single library.
Overview
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Use Cases
Best For
- Quickly generating interactive EDA reports for pandas or Dask DataFrames
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