Orange
A component-based visual programming software package for data visualization, machine learning, data mining, and data analysis
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| + | Visual Programming | Create workflows by placing widgets on a canvas, connecting them, and loading datasets without coding. |
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| + | Interactive Data Visualization | Explore statistical distributions, box plots, scatter plots, decision trees, and more. |
| + | Machine Learning Widgets | Train predictors, compare learning algorithms, and perform regression and classification tasks. |
| + | Data Preprocessing | Provides tools for cleaning, transforming, and selecting features. Select features, handle missing values, and preprocess data. |
| + | Predictive Analytics Models | Build models using testing and training data. |
| + | Regression Analysis | Perform regression tasks |
| + | Classifier Building | Create classifiers for predictive modeling. |
| + | Data Import & Export | Import data from various sources (CSV, databases) and export results in different formats |
| + | Data Validation | Tools to identify and handle data inconsistencies and errors |
| + | Scalability | Handle large datasets efficiently |
| + | Python Scripting | Users might benefit from the option to integrate Python scripting for more complex tasks |
System Requirements
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Ratings
4.555
| Capterra | 4.05 based on 3 reviews |
|---|---|
| My Assignment Help | 4.95 based on 5566 reviews |
| PAT RESEARCH | 9.510 based on professional's opinion |
Written in
Python, Cython
Initial Release
10 October 1997
Repository
License
Categories
Alternatives
Machine Learning
Data Mining
Data Analysis
Data Visualization
Data Mining
Data Analysis
Data Visualization