Select a tag to browse associated projects and drill deeper into the tag cloud.
Jenkins
Analyzed 7 days ago
Jenkins is a continuous integration server, allowing you to automatically monitor source repositories, build software and run tests.
One-click installation and out-of-the-box cluster support make it easy to get started improving your software, or just giving you greater control of your daily task
Licenses:
mit
WEKA
Analyzed about 2 hours ago
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is
Licenses:
No declared licenses
Apache Mahout
Claimed by Apache Software Foundation Analyzed 37 minutes ago
Apache Mahout's goal is to build scalable machine learning libraries. With scalable we mean:
Scalable to reasonably large data sets. Our core algorithms for clustering, classfication and batch based collaborative filtering are implemented on top of Apache Hadoop using the map/reduce paradigm.
Licenses:
apache_2
gretl
Analyzed 1 day ago
Gretl (Gnu Regression, Econometrics and Time-series Library) is a cross-platform software package for econometric analysis, written in the C programming language. It is is free, open-source software. You may redistribute it and/or modify it under the terms of the GNU General Public License (GPL3) as
statsmodels
S
Analyzed about 19 hours ago
statsmodels is a pure python package that provides classes and functions for the estimation of several categories of statistical models with numpy and scipy.
These currently include linear regression models, OLS, GLS, WLS and GLS with AR(p) errors, generalized linear models for six distribution
Licenses:
BSD-3-Clause
RubixML
Analyzed about 6 hours ago
Rubix ML is a free open-source library for the PHP language that allows you to build programs that learn from your data. We provide tools for the entire machine learning life cycle from ETL to training, validation, and production with over 40 supervised and unsupervised learning algorithms.
Dart
D
No analysis available
Dart is an open-source, distributed, software quality system. Dart allows software projects to be tested at multiple sites in multiple configurations (hardware, operating systems, compilers, etc.). Results from a build/test sequence are transmitted to a central server using standard internet
Mostly written in language not available
Licenses:
BSD-3-Clause
MPI Testing Tool
Analyzed about 18 hours ago
The MPI Testing Tool (MTT) is a project initiated by the Open MPI project for comprehensive, distributed testing of MPI software packages. MTT is designed to be run in a fully automated fashion (e.g., able to be run via cron on a regular basis). It focuses on providing correctness and performance
benerator
Analyzed about 20 hours ago
benerator is a framework for creating realistic and valid high-volume test data, used for testing (unit/integration/load) and showcase setup.
Metadata constraints are imported from systems and/or configuration files. Data can be imported from and exported to files and systems, anonymized or
Licenses:
GNU-GPLv2
