Parallel computing with task scheduling
- dask
- python
- pydata
- numpy
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Parallel computing with task scheduling
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
PySpark + Scikit-learn = Sparkit-learn
Data validation toolkit for assessing and monitoring data quality.
A fast to develop, fast to run, Go based toolkit for ETL and feature extraction on Hadoop.
📜 A CLI toolkit for extracting and working with your digital history
A lightweight Reactive Streams Infrastructure Toolkit for Scala.
The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.
EtlKit is a lightweight ETL (extract · transform · load) library and data integration toolbox for .NET. Build your own data pipelines programmatically in C# — readable, testable, and tracked in source control like the rest of your code.
Develop streaming applications for IBM Streams in Python, Java & Scala.
Various examples of notebooks for working with web archives with the Archives Unleashed Toolkit, and derivatives generated by the Archives Unleashed Toolkit.
AsyncJob is an asynchronous queue job manager with light code, clear and speed. I hope so ! 😬
An open-source toolkit for analyzing line-oriented JSON Twitter archives with Apache Spark.
Quick integration toolkit for Ixian. Connects apps, IoT devices, AI Agents, and services to the Ixian Platform via REST APIs and message queues (MQTT/RabbitMQ). Provides developers with a simple bridge into secure Ixian communication and Client Discovery.
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.