Tags : Browse Projects

Select a tag to browse associated projects and drill deeper into the tag cloud.

rkward

Compare

  Analyzed 2 months ago

RKWard aims to provide an easily extensible, easy to use IDE/GUI for the R-project. RKWard tries to combine the power of the R-language with the (relative) ease of use of commercial statistics tools. Long term plans include integration with office suites.

125K lines of code

5 current contributors

4 months since last commit

5 users on Open Hub

Activity Not Available
4.25
   
I Use This

statsmodels

Compare

  Analyzed 2 months 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]

243K lines of code

50 current contributors

4 months since last commit

5 users on Open Hub

Activity Not Available
3.0
   
I Use This

icinga2

Compare

  Analyzed 2 months ago

Icinga 2 Core

108K lines of code

48 current contributors

4 months since last commit

5 users on Open Hub

Activity Not Available
0.0
 
I Use This

JGR - Java GUI for R

Compare

  Analyzed 2 months ago

JGR (speak 'Jaguar') is a universal and unified Graphical User Interface for R (it actually abbreviates Java Gui for R). JGR was introduced at the useR! meeting in 2004 and there is an introductory article in the Statistical Computing and Graphics Newsletter Vol 16 nr 2 p9-12

24.4K lines of code

0 current contributors

over 7 years since last commit

4 users on Open Hub

Activity Not Available
0.0
 
I Use This

Cricket

Compare

  Analyzed 2 months ago

Cricket is a high performance, flexible system for monitoring trends in time-series data. It was developed to help network managers visualize and understand the traffic on their networks, but it can be used for all kinds of other jobs, as well. It features a hierarchical configuration system (which ... [More] avoids duplicate info in the config files), full flexibility in RRD structure (arbitrary numbers of DS's and RRA's), a CGI-based graph-on-demand application, and SNMP- and EXEC-based data gathering. [Less]

21K lines of code

0 current contributors

over 11 years since last commit

4 users on Open Hub

Activity Not Available
0.0
 
I Use This
Licenses: No declared licenses

Reconnoiter

Compare

  Analyzed 2 months ago

Reconnoiter's goal is to better the world of monitoring by marrying fault detection and trending together. Through ease of configuration and ongoing maintenance, Reconnoiter encourages monitoring important technical metrics along side critical business metrics to improve awareness and ultimately accountability.

388K lines of code

10 current contributors

over 1 year since last commit

4 users on Open Hub

Activity Not Available
5.0
 
I Use This

nuiton-j2r

Compare

Claimed by Code Lutin Analyzed 2 months ago

nuiton-j2r aims to give java developers a unified access to R ressources using either a R server or a local R installation.

7.37K lines of code

0 current contributors

about 8 years since last commit

4 users on Open Hub

Activity Not Available
5.0
 
I Use This

graph-tool

Compare

  Analyzed 2 months ago

graph-tool is a python module to help with statistical analysis of graphs. Its feature set includes support for both directed and undirected graphs with arbitrary vertex and edge properties, edge/vertex filtering, correlated random graph generation and community detection. It supports also ... [More] several statistical measurements, such as: degree histogram, combined degree histogram, vertex-vertex degree correlation, average nearest neighbours degree, vertex-edge-vertex correlation, clustering coefficients, extended clustering coefficient, assortativity coefficient, betweenness centrality, average distance, component statistics and reciprocity. The core algorithms are written in C++, making use of the Boost Graph Library, and template metaprogramming techniques, with performance in mind. [Less]

71.7K lines of code

0 current contributors

over 8 years since last commit

4 users on Open Hub

Activity Not Available
5.0
 
I Use This

rpy2

Compare

  No analysis available

R from Python interface code: http://bitbucket.org/lgautier/rpy2/ docs: http://rpy.sourceforge.net/rpy2_documentation.html

0 lines of code

7 current contributors

0 since last commit

4 users on Open Hub

Activity Not Available
5.0
 
I Use This
Mostly written in language not available
Licenses: GPL2

StatCvs-XML

Compare

  Analyzed 2 months ago

StatCvs-XML provides reports about cvs usage based on the cvs log. It is an extension of the great StatCvs project. StatCvs-XML shares the cvs log parsing code with StatCvs but has advanced report generation and customization features. Additionally it provides seamless integration with Apache Maven.

23.5K lines of code

0 current contributors

about 18 years since last commit

4 users on Open Hub

Activity Not Available
4.0
   
I Use This