Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Go_spider | 1,629 | 2 | 6 years ago | 1 | August 09, 2015 | 18 | mpl-2.0 | Go | ||
[爬虫框架 (golang)] An awesome Go concurrent Crawler(spider) framework. The crawler is flexible and modular. It can be expanded to an Individualized crawler easily or you can use the default crawl components only. | ||||||||||
Pypeln | 1,412 | 5 | 6 | a year ago | 36 | January 06, 2022 | 22 | mit | Python | |
Concurrent data pipelines in Python >>> | ||||||||||
Ktvvideoprocess | 575 | 3 months ago | 5 | October 22, 2018 | mit | Objective-C | ||||
A High-Performance video effects processing framework. | ||||||||||
Pipeline | 404 | 2 | 5 years ago | 1 | June 18, 2018 | 4 | mit | Go | ||
Pipeline is a package to build multi-staged concurrent workflows with a centralized logging output. | ||||||||||
Taskctl | 162 | 2 years ago | 11 | April 26, 2021 | 9 | gpl-3.0 | Go | |||
Concurrent task runner, developer's routine tasks automation toolkit. Simple modern alternative to GNU Make 🧰 | ||||||||||
Throttle Concurrent Builds Plugin | 104 | 3 | 3 months ago | 13 | April 11, 2016 | 14 | mit | Java | ||
Go Piper | 93 | 9 years ago | 1 | July 20, 2015 | apache-2.0 | Go | ||||
Library for creating and managing concurrent tasks in Go Language | ||||||||||
Aws Concurrent Data Orchestration Pipeline Emr Livy | 66 | 5 years ago | 5 | apache-2.0 | Python | |||||
This code demonstrates the architecture featured on the AWS Big Data blog (https://aws.amazon.com/blogs/big-data/ ) which creates a concurrent data pipeline by using Amazon EMR and Apache Livy. This pipeline is orchestrated by Apache Airflow. | ||||||||||
Plumbingplusplus | 49 | 11 years ago | bsl-1.0 | C++ | ||||||
"unix pipes" or automatic concurrent pipelining in C++ | ||||||||||
Papaline | 46 | 5 years ago | 23 | December 17, 2015 | epl-1.0 | Clojure | ||||
Clojure concurrent pipleline on core.async |