Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy.
Place widgets on the canvas, connect them, load your datasets and harvest the insight! When teaching data mining, we like to illustrate rather than only explain. And Orange is great at that. Used at schools, universities and in professional training courses across the world, Orange supports hands-on training and visual illustrations of concepts from data science. There are even widgets that were especially designed for teaching.
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Please try enabling it if you encounter problems. Search PyPI Search. Orange3 3. Latest version Released: Jan 7, Orange, a component-based data mining framework.
Navigation Project description Release history Download files. Add conda-forge to the list of channels you can install packages from and make it default.
Orange can also be installed from the Python Package Index. You may need additional system packages provided by your distribution. Clone our repository from GitHub or download the source code tarball. Download the latest version for Windows Download Orange 3.
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