module-multi-threading
Data processor
A module that enables parallel processing of large data sets in Magento 2 using multiple child processes.
This module is a powerful tool for developers who want to process large data sets in a short amount of time.
80 stars
5 watching
10 forks
Language: PHP
last commit: about 1 year ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A PHP implementation of functional programming concepts to simplify data processing and analysis. | 245 |
| A set of commands for high-speed processing of large-scale CSV data | 33 |
| An implementation for validating JSON structures against given schemas in Magento | 1 |
| A library for data processing and querying on large datasets without the need for Hadoop expertise | 1,375 |
| A PHP library providing arbitrary precision arithmetic capabilities for various numerical types. | 1,871 |
| A practical functional JavaScript library for building data pipelines with immutable and side-effect free functions | 2 |
| A WebAssembly macro language and processor that converts WAM syntax to standard Wat syntax and processes modules with additional features. | 64 |
| A full-stack Python project with a focus on data storage and processing, utilizing Redis as a key-value store and Celery for task management. | 28 |
| A distributed stream processing framework for handling high-volume data streams with fault tolerance and durability guarantees | 817 |
| An environment for efficient data processing using Haskell or R code. | 587 |
| A lightweight toolkit for processing tabular data with a focus on functional programming and PyPy compatibility. | 417 |
| A collection of scripts and programs for processing crawled data into a usable text corpus. | 8 |
| Provides a declarative way to handle nested data structures in Python | 1,920 |
| A Haskell-based framework for processing and distributing large datasets across multiple nodes in parallel. | 116 |
| A library that provides performance-enhanced array operations using SIMD and parallel processing in F# | 132 |