HPCC¶
The community edition was available under Apache 2.0 license in 2011.
Logo |
|
---|---|
Website |
|
Repository |
|
Byline |
HPCC Systems (High Performance Computing Cluster) is an open source, massive parallel-processing computing platform for big data processing and analytics. |
License |
Apache 2.0 |
Project age |
11 years 5 months |
Backers |
|
Size score (1 to 10, higher is better) |
6.0 |
Trend score (1 to 10, higher is better) |
6.25 |
Education Resources¶
URL |
Resource Type |
Description |
---|---|---|
Documentation |
Official project documentation. |
Git Commit Statistics¶
Statistics computed using Git data through November 30, 2022.
Statistic |
Lifetime |
Last 12 Months |
---|---|---|
Commits |
67,400 |
11,845 |
Lines committed |
23,841,965 |
3,692,524 |
Unique committers |
140 |
34 |
Core committers |
11 |
7 |
Similar Projects¶
Project |
Size Score |
Trend Score |
Byline |
---|---|---|---|
6.75 |
4.75 |
Parallel computing with task scheduling. |
|
9.0 |
8.25 |
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. |
|
6.75 |
4.5 |
Mars is a tensor-based unified framework for large-scale data computation which scales Numpy, Pandas and Scikit-learn. |
|
5.0 |
7.5 |
Speed up your Pandas workflows by changing a single line of code |
|
4.0 |
5.0 |
Apache Pig is a platform to create programs on top of Apache Hadoop. |