If you're looking for a system to build powerful workflows and compute expert-level answers in R&D and data science, Wolfram is a unified computation platform with a broad suite of tools. It includes algorithms, data, notebooks and deployment tools to support R&D workflows, education, data science and more. With the Wolfram Language, Mathematica, and Wolfram|Alpha Notebook Edition, you can use symbolic programming, technical computation and interactive notebooks for advanced tasks. Wolfram also offers a free trial and abundant resources for learning and community support.
Another good choice is Wolfram|Alpha, a computational knowledge engine that provides expert-level answers and insights across a broad range of subjects. It can perform calculations, create reports and solve complex problems in math, science, technology and everyday living. It's good for both professional and educational use, with features like image processing, file uploads and support for web apps.
For data scientists, KNIME is an open-source data analysis platform that requires little programming knowledge. It has a visual workflow builder for creating and deploying data science applications, and integrates data access and transformation from more than 300 sources. KNIME is for many types of users and many industries, with guided courses and community support to help you get the most out of it.
If collaboration and AI integration are important, Anaconda is an open ecosystem for data science and AI development that includes industry-specific AI solutions, cloud collaboration and access to thousands of curated packages and libraries. It supports GPU-enabled workflows, disaster recovery and governance tools, making it a powerful option for data scientists and teams trying to innovate and speed up their work.