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Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
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
DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.
:bus: Simple and lean service bus implementation for .NET
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
: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
Task management system based on .NET 8 with Microservices, DDD, CQRS, Event Sourcing and Testing Concepts
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
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.
Functional API for Microsoft Orleans http://orleanscontrib.github.io/Orleankka
A state-of-the-art distributed system using Reactive DDD as uncertainty modeling, Event Storming as subdomain decomposition, Event Sourcing as an eventual persistence mechanism, CQRS, Async Projections, Microservices for individual deployable units, Event-driven Architecture for efficient integration, and Clean Architecture as domain-centric design
Learn Clean Architecture with .NET Core 3.0 :fire:
:incoming_envelope: A fast Message/Event Hub using publish/subscribe pattern with support for topics like* rabbitMQ exchanges for Go applications
A production-grade HBase ORM library that makes accessing HBase clean, fast and fun (Can also be used as Bigtable ORM)