Tags : Browse Projects

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Jenkins

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  Analyzed 2 months 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 ... [More] automation. With an extensive library of over 1300 plugins, Jenkins can be used to build, test, log, analyse, graph and notify you in a great number of different ways about your jobs. Founded by Kohsuke Kawaguchi while at Sun in 2004, the Hudson project forked in January 2011 to become Jenkins, with Oracle Corporation continuing the development of Hudson, and the bulk of the Hudson community, including Kawaguchi, moving on to work on Jenkins. [Less]

15M lines of code

263 current contributors

2 months since last commit

344 users on Open Hub

Activity Not Available
4.83019
   
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WEKA

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  Analyzed 1 day 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 ... [More] also well-suited for developing new machine learning schemes. [Less]

780K lines of code

3 current contributors

almost 2 years since last commit

38 users on Open Hub

Very Low Activity
3.93333
   
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Licenses: No declared licenses

Apache Mahout

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Claimed by Apache Software Foundation Analyzed 1 day 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. ... [More] However we do not restrict contributions to Hadoop based implementations: Contributions that run on a single node or on a non-Hadoop cluster are welcome as well. The core libraries are highly optimized to allow for good performance also for non-distributed algorithms [Less]

146K lines of code

0 current contributors

3 months since last commit

25 users on Open Hub

Very Low Activity
3.6
   
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gretl

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  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 ... [More] published by the Free Software Foundation. [Less]

777K lines of code

6 current contributors

4 days since last commit

6 users on Open Hub

Very High Activity
5.0
 
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statsmodels

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  Analyzed 2 days 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 ... [More] families and M-estimators for robust linear models, discrete models, Logit, Probit, Multinomial Logit, Poisson and Negative Binomial, models for time series analysis include AR, ARIMA and VAR. An extensive list of result statistics are available for each estimation problem. Besides models for estimation and prediction, statsmodels also has hypothesis tests and other statistical functions. [Less]

240K lines of code

50 current contributors

4 days since last commit

5 users on Open Hub

Moderate Activity
3.0
   
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RubixML

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  Analyzed 1 day 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.

45K lines of code

0 current contributors

6 days since last commit

4 users on Open Hub

Low Activity
0.0
 
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Dart

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  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 ... [More] protocols. The server produces concise dashboards, summarizing the current state of a software system. The dashboards link to detailed reports on inter- and intra- configuration results. Testing results are tracked over time, allowing developers to trace the history of development. There have been two major rewrites of Dart. The first, "Dart Classic", used TCL, XSLT, and cgi-bin and is available via CVS. The second, Dart2, used Java and is available via Subversion. [Less]

0 lines of code

0 current contributors

0 since last commit

3 users on Open Hub

Activity Not Available
0.0
 
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Mostly written in language not available
Licenses: BSD-3-Clause

MPI Testing Tool

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  Analyzed 2 days 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 ... [More] testing across many different impementations and versions of MPI software. The Open MPI Project uses MTT mainly for nightly regression testing of its own software, but also uses it for performance comparisons to other MPI implementations. Note that MTT is not dependent on/does not require Open MPI. [Less]

54.9K lines of code

11 current contributors

4 months since last commit

3 users on Open Hub

Very Low Activity
5.0
 
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benerator

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  Analyzed 2 days 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 ... [More] generated from scratch. Domain packages provide reusable generators for creating domain-specific data as names and addresses internationalizable in language and region. It is strongly customizable with plugins and configuration options. [Less]

79.7K lines of code

0 current contributors

over 9 years since last commit

3 users on Open Hub

Inactive
0.0
 
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mlpy - Machine Learning Python

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  Analyzed 1 day ago

75.8K lines of code

0 current contributors

about 12 years since last commit

1 users on Open Hub

Inactive
5.0
 
I Use This
Licenses: No declared licenses