Showing 10 of 10 projects
A curated list of awesome big data frameworks, resources, and tools across various categories.
A curated list of awesome big data frameworks, resources, and tools across various categories.
A lightweight and efficient stream processing library for Go, providing a declarative DSL to build data pipelines.
A command-line toolkit for validating, scanning, and managing SCAP (Security Content Automation Protocol) documents.
A Go library of probabilistic data structures for processing continuous, unbounded data streams.
An ultra-fast .NET library for complex event processing and time series manipulation, handling historical and real-time data streams.
A reactive stream programming framework for live data computation with concurrent asynchronous operations.
A Python implementation of the Optimum-Path Forest classifier for machine learning tasks.
JavaScript implementation of multivariate Gaussian mixture model for unsupervised clustering of offline and real-time data streams.
A C++ reactive stream programming framework for live data computation with concurrent asynchronous operations.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.