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WEKA

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  Analyzed over 1 year 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]

707K lines of code

3 current contributors

almost 2 years since last commit

37 users on Open Hub

Activity Not Available
3.93333
   
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Licenses: No declared licenses

Apache Mahout

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Claimed by Apache Software Foundation Analyzed 5 days 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]

144K lines of code

17 current contributors

2 months since last commit

24 users on Open Hub

Moderate Activity
3.6
   
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YALE -- Open-Source Java Data Mining

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  Analyzed over 2 years ago

YALE (Yet Another Learning Environment) is the most comprehensive open-source software for intelligent data analysis, data mining, knowledge discovery, machine learning, predictive analytics, forecasting, and analytics in business intelligence (BI). YALE provides more than 400 data mining operators ... [More] , a graphical user interface (GUI), an online tutorial with hands-on data mining applications, a comprehensive PDF tutorial, many visualization schemes for data sets and data mining results, many different learning and meta-learning schemes ranging from decision tree and rule learners to neural networks, SVMs, ensemble methods, etc. YALE is implemented in Java and available under GPL (GNU General Public License) as well as under a developer license (OEM license) for closed-source developers. [Less]

3.53M lines of code

3 current contributors

over 3 years since last commit

17 users on Open Hub

Activity Not Available
4.25
   
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Licenses: No declared licenses

gCube

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  Analyzed about 18 hours ago

gCube is a framework dedicated to scientists. It enables the declarative and interactive creation of transient Virtual Research Environments that aggregate and deploy on-demand content resources and application services by exploiting computational and storage resources offered by private and commercial cloud providers.

63.9M lines of code

2 current contributors

5 days since last commit

11 users on Open Hub

Low Activity
5.0
 
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PyMVPA

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  Analyzed 5 days ago

Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge ... [More] Regressions, Sparse Multinomial Logistic Regression, GPR. RFE, I-RELIEF), and bindings to external ML libraries (libsvm, shogun, R). While it is not limited to neuroimaging data (e.g. FMRI) it is eminently suited for such datasets. [Less]

139K lines of code

0 current contributors

almost 2 years since last commit

8 users on Open Hub

Very Low Activity
5.0
 
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MonetDB

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  Analyzed 4 days ago

MonetDB is a open-source columnar database system for high-performance applications. It comes with a feature rich SQL interface, ready to perform analytical queries on large datasets with an unusual speed.

1.81M lines of code

15 current contributors

4 days since last commit

7 users on Open Hub

Very High Activity
5.0
 
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KNIME

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  Analyzed about 17 hours ago

KNIME [naim] is a user-friendly graphical workbench for the entire analysis process: data access, data transformation, initial investigation, powerful predictive analytics, visualisation and reporting. The open integration platform provides over 1000 modules (nodes), including those of the KNIME ... [More] community and its extensive partner network. [Less]

1.54M lines of code

27 current contributors

4 days since last commit

6 users on Open Hub

Very High Activity
5.0
 
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Orange

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  Analyzed about 15 hours ago

Orange is a component-based data mining software. It includes a range of data visualization, exploration, preprocessing and modelling techniques. It can be used through a nice and intuitive user interface or, for more advanced users, as a module for Python programming language.

423K lines of code

37 current contributors

6 days since last commit

6 users on Open Hub

Very High Activity
4.5
   
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Apache Zeppelin

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Claimed by Apache Software Foundation Analyzed about 16 hours ago

A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

149K lines of code

120 current contributors

5 days since last commit

4 users on Open Hub

High Activity
0.0
 
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Apache Taverna

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Claimed by Apache Software Foundation Analyzed over 1 year ago

The Taverna project aims to provide a language and software tools to facilitate easy use of workflow and distributed compute technology within the eScience community.

640K lines of code

15 current contributors

over 3 years since last commit

4 users on Open Hub

Activity Not Available
4.6
   
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