Orange is a component structured data mining as well as machine learning software suite written in python language. It's a data visualization as well as evaluation software, with regard to novice and experts alike. Data mining can be done via visual programming or even python scripting. Orange components are called widgets. Widgets cover a wide variety, ranging from simple data visualization, subset selection, and pre-processing, to empirical evaluation of learning algorithms and predictive modeling.
pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. - Wikipedia Documentation I Stack Overflow Q&A I Mailing list - Developers I FAQ I IRC
scikit-learn is an open source machine learning library featuring classification, regression, clustering, dimensionality reduction, model selection and preprocessing. It has tools for data mining and data analysis, and is built on NumPy, SciPy, and matplotlib. As per official website, it features: Classification : Identifying to which category an object belongs to Regression : Predicting a continuous-valued attribute associated with an object Clustering : Automatic grouping of similar objects into sets Dimensionality reduction : Reducing the number of random variables to consider Model selection : Comparing, validating and choosing parameters and models Preprocessing : Feature extraction and normalization Documentation I Wiki I Mailing list I Stack Overflow I FAQ I IRC