Anaconda Notebooks vs Orange Data Mining

Anaconda Notebooks puts JupyterLab in a cloud environment for writing, editing, and running Python code through an Anaconda Cloud account. Users can start data science and AI projects in a browser with packages and computing resources supplied by the service, without installing Python locally. Two preconfigured environments are available: one with the latest Anaconda Distribution packages and another with packages selected for AI workflows. Notebooks can be shared by URL so others can open a copy, work with it through an Anaconda account, or download it. Outputs can be deployed as web applications using Panel. Anaconda Assistant for Python can analyze tables and suggest ways to work with data, while Data Connectors let users save CSV files on Anaconda Cloud for Excel or notebook access. The Free plan costs nothing and includes 5 GB cloud storage. Starter costs $15 a month, billed monthly, with 10 GB storage per user. Organizations may block notebook sharing, resulting in a 403 error when a user tries to share.

Orange Data Mining is open-source software for machine learning, data mining, and data visualization. It runs on Linux, macOS, and Windows, and is available for free under the GNU GPL 3.0 or later; add-ons may have additional licensing requirements. Users make analyses by connecting widgets for retrieving and preparing data, visualizing it, building models, and evaluating them. Interactive views include scatter plots, box plots, histograms, heat maps, MDS projections, and model-specific displays. The model catalog includes methods such as decision trees, random forests, support vector machines, neural networks, and logistic regression. Add-ons cover areas including text mining, network analysis, fairness, time series, and gene expression analysis. Data can come from spreadsheet and text files, Google Spreadsheets, and PostgreSQL or MSSQL databases; the SQL widget supports only PostgreSQL and MSSQL. Orange is installed locally and can work offline. Embedded widgets send data to a server for computation, though the FAQ says it is not stored there. Orange cannot export workflows as Python scripts and is not compatible with R.