Alteryx Project Edition, free version of Alteryx, delivers the data blending, analytics, and sharing capabilities of Alteryx with just enough allowed runs of your workflow to solve one business problem or to complete one project.
AlphaMiner, open source data mining platform that offers various data mining model building and data cleansing functionality.
CMSR Data Miner, built for business data with database focus, incorporating rule-engine, neural network, neural clustering (SOM), decision tree, hotspot drill-down, cross table deviation analysis, cross-sell analysis, visualization/charts, and more. Free for academic use.
CRAN Task View: Machine Learning and Statistical Learning, machine learning and statistical packages in R.
Databionic ESOM Tools, a suite of programs for clustering, visualization, and classification with Emergent Self-Organizing Maps (ESOM).
ELKI: Environment for DeveLoping KDD-Applications Supported by Index-Structures, a framework in Java which includes clustering, outlier detection, and other algorithms; allows user to evaluate the combination of arbitrary algorithms, data types, and distance functions.
Gnome Data Mining Tools, including apriori, decision trees, and Bayes classifiers.
jHepWork, an interactive environment for scientific computation, data analysis and data visualization designed for scientists, engineers and students.
KEEL, includes knowledge extraction algorithms, preprocessing techniques, evolutionary rule learning, genetic fuzzy systems, and more.
KNIME, extensible open source data mining platform implementing the data pipelining paradigm (based on eclipse).
Machine Learning in Java (MLJ), an open-source suite of Java tools for research in machine learning. (The software will not be developed further.)
MiningMart, a graphical tool for data preprocessing and mining on relational databases; supports development, documentation, re-use and exchange of complete KDD processes. Free for non-commercial purposes.
ML-Flex, an open-source software package designed to enable flexible and efficient processing of disparate data sets for machine-learning (classification).
MLC++, a machine learning library in C++.
Orange, open source data analytics and mining through visual programming or Python scripting. Components for visualization, rule learning, clustering, model evaluation, and more.
PredictionIO, an open source machine learning server for software developers and data engineers to create predictive features, such as personalization, recommendation and content discovery.
RapidMiner , a leading open-source system for knowledge discovery and data mining.
Rattle, a data mining suite based on open source statistical language R, includes graphics, clustering, modeling, and more.
TANAGRA, offers a GUI interface and methods for data access, statistics, feature selection, classification, clustering, visualization, association and more.
Weka, collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform.