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Apache Mahout
Claimed by Apache Software Foundation Analyzed about 6 hours 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
SpagoBI
Claimed by The OW2 Consortium No analysis available
SpagoBI is an integration platform focused on business intelligence needs at the enterprise level. It's a full open source solution, no professional edition. SpagoBI offers a complete analytical layer : reporting ,OLAP, data mining, dashboards, free and visual data inquiring, GIS. It is built on a
Mostly written in language not available
Licenses:
mozilla_p...
lava-server
Claimed by Linaro No analysis available
Linaro Automated Validation Architecture server, including lava-scheduler and lava-dashboard.
Mostly written in language not available
Licenses:
AGPL3
Crab - Scikit-Recommender
C
Analyzed about 10 hours ago
Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (NumPy,SciPy, Matplotlib). The engine aims to provide a rich set of components from which you can construct a customized
Licenses:
BSD-3-Clause
SOFA Statistics
Analyzed about 13 hours ago
SOFA is a statistics, analysis, and reporting program with an emphasis on ease of use, learn as you go, and beautiful output.
Licenses:
No declared licenses
Sally Tool
Analyzed about 17 hours ago
Sally is a small tool for mapping a set of strings to a set of vectors. This mapping is referred to as embedding and allows for applying techniques of machine learning and data mining for analysis of string data. Sally implements a standard technique for mapping strings to a vector space that is
jMotif
Analyzed about 10 hours ago
JMotif implements in Java number of methods for timeseries data handling and analysis:
* Z normalization of timeseries
* Piecewise Aggregate Approximation (PAA) of timeseries
* Symbolic Aggregate Approximation (SAX) of timeseries
* iSAX (indexed SAX)
in order to help one leverage the symbolic
refine-client-py
R
Analyzed about 8 hours ago
The Google Refine Python Client Library provides an interface to communicating with a Google Refine server.
Licenses:
No declared licenses
Knowing Datamining
Analyzed about 5 hours ago
Datamining framework based on WEKA and Akka.
Licenses:
apache_2
ELKI
Analyzed about 21 hours ago
ELKI: "Environment for Developing KDD-Applications Supported by Index-Structures" is a development framework for data mining algorithms written in Java. It includes a large variety of popular data mining algorithms, distance functions and index structures.
Its focus is particularly on clustering
Licenses:
AGPL3_or_...