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1
Orange Data mining
 
2
R Software Environment
 
3
Weka Data Mining
 
4
Tableau Public
 
5
Arcadia Data
 
6
Microsoft R
 
7
Shogun
 
8
ITALASSI
 
9
DataMelt
 
10
Trifacta
 
11
ELKI
 
12
Scikit-learn
 
13
Lavastorm Analytics Engine
 
14
Data Applied
 
15
Julia
 
16
KNIME Analytics Platform Community
 
17
Gephi
 
18
RapidMiner Starter Edition
 
19
SciPy
 
20
TANAGRA
 
21
Massive Online Analysis
 
22
Scilab
 
23
DataPreparator
 
24
OpenRefine
 
25
Dataiku DSS Community
 
26
DataCracker
 
27
NumPy
 
28
ROOT
 
29
NetworkX
 
30
Google Fusion Tables
 
31
ILNumerics
 
32
NodeXL
 
33
PAW
 
34
FreeMat
 
35
Ipython
 
36
jMatLab
 
37
DataWrangler
 
38
SymPy
 
39
Fluentd
 
40
Matplotlib
 
41
EasyReg
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Most Recent
 
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September 20, 2017

Julia

Julia is a sophisticated programming language that is of high performance used for numerical computation. Julia provides a comprehensive compiler, parallel execution that is distributed, a function library that is extensive mathematically and numerical accuracy. All of Julia programs encircle several dispatches by defining and compiling up functions used in argument types of different combinations which in other cases can be defined by the user. The multiple dispatch provides scientists with the ability of defining function behaviors across several combinations of arguments. Julia also features a dynamic type system which is able to deal with various [...]

78.5
 
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September 20, 2017

Massive Online Analysis

Massive Online Analysis (MOA) is a framework that is open source used in stream mining of data. Massive Online Analysis consists of a collection of machine learning algorithms such as regression, classification, clustering, detection, outlier, recommender systems, and concept drift detection. Massive Online Analysis also features tools used in evaluation of data stream mining. Massive Online Analysis is ideal for data scientists as it performs big data stream mining in real time and also perform large scale machine learning. The mining algorithms available in MOA can be extended and achieve new stream generators or evaluation measures. Massive Online [...]

34.75
 
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September 20, 2017

NetworkX

NetworkX is a software package in Python language used in creating, manipulating, and study of the functions, structures, and dynamics of the networks that are complex. NetworkX is simply a software ideal for analyzing complex networks. NetworkX enables results to be presented in a unique and graphical way. The data structures are present for graphs, multigraphs, and digraphs. Since NetworkX is a Python package it facilitates fast prototyping and provides an easy to teach and multi-platform. Data scientists are also provided with several standard graph algorithms that are useful when dealing with complex networks. NetworkX also features generators. The [...]

15.25
 
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September 20, 2017

OpenRefine

OpenRefine is a sophisticated tool for working on big data and perform analytics. OpenRefine is able to perform various tasks on data. The tasks are, cleaning data, transformation of data from one form into the other format, and also extend with web services and data that are external. OpenRefine provides the explore data feature that enables data scientists go through large data sets with ease. The explore data feature is easy to be used as it also comes with a video explaining how it is used. The clean and transform data feature provided by OpenRefine enables data scientists also clean Big data and transform it from one form into the other. The clean [...]

21.75
 
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September 20, 2017

ROOT

ROOT is a sophisticated scientific software application that provides functions required to deal with statistical analysis, large data processing, storage, and visualization. ROOT is mainly in C++ language but it can be converted into several natural languages such as R, Python and many more. The Save data feature provided by ROOT enables users to save their data using C++ object language or in a binary form that is compressed in their own file. The ROOT files are self-descriptive therefore making it easy for users to save their object format in the same ROOT file. The ROOT file contains information that is always readable by the user and also contains [...]

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