Always know what to expect from your data.
- pipeline-tests
- dataquality
- datacleaning
- datacleaner
47,133 repositories indexed
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Always know what to expect from your data.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
A light-weight, flexible, and expressive statistical data testing library
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Ncurses based XMPP client
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Clean APIs for data cleaning. Python implementation of R package Janitor
A compatibility layer for event-driven abstractions
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
Series and Panels for Real-time and Exploratory Analysis of Data Streams
MicroBus is a simple in process Mediator for .NET
The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.
STOMP client for Embarcadero Delphi and FreePascal.
Event Bus package for Go
Json-values allows Java developers to harness the power of persistent data structures when working with JSON data, simplifying complex data manipulation. It provides a purely functional approach to JSON