data-wrangling

A Python toolbox for gaining geometric insights into high-dimensional data

Machine learning with dataframes

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

Tools for test driven data-wrangling and data validation.

Package python to remove common ugliness from a csv-like file

Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby

Data Cleaning with Python

A framework for data piping in python

data wrangling simplicity, complete audit transparency, and at speed

Execute OpenRefine JSON scripts without OpenRefine (or Java)

Omnipy is a high level Python library for type-driven data wrangling and scalable workflow orchestration (under development)

Library to make MongoDB aggregation framework and pipelines easy to use in python.

A python package built for data scientist/analysts, AI/ML engineers for exploring features of a dataset in minimal number of lines of code for quick analysis before data wrangling and feature extraction.

Import, maintain and export tag metadata to/from audio files and a dynamically created SQLite table. Automates incremental tag cleanup, enrichment and standardisation for your digital audio library at scale using pre-scripted SQL queries and Polars, achieving quality and consistency in your metadata not possible with a tagger

Datagrunt is a Python library designed to simplify the way you work with CSV, Excel, Parquet, and PDF files. It provides a streamlined approach to reading, processing, and transforming your data into various formats, making data manipulation efficient and intuitive.

🚀🤖 Cognito - Simplifies AutoML Data Preprocessing.

Databroom is a cross-language data cleaning tool with CLI, GUI, and API. Clean CSV, Excel, or JSON files and generate reproducible scripts in Python (pandas) or R (tidyverse). Now supports saving and loading cleaning pipelines as JSON for fully automated, shareable workflows.

The absolute pinnacle in CSV dialect detection. The methodology is research backed and implemented in Python, outperforming existing state of the art solutions by 8.35% in terms of their F1 scores, using only built-in modules.

Data Cleaning is a python package for data preprocessing. This cleans the CSV file and returns the cleaned data frame. It does the work of imputation, removing duplicates, replacing special characters, and many more.