Compare the Top On-Premises Data Science Software as of June 2025

What is On-Premises Data Science Software?

Data science software is a collection of tools and platforms designed to facilitate the analysis, interpretation, and visualization of large datasets, helping data scientists derive insights and build predictive models. These tools support various data science processes, including data cleaning, statistical analysis, machine learning, deep learning, and data visualization. Common features of data science software include data manipulation, algorithm libraries, model training environments, and integration with big data solutions. Data science software is widely used across industries like finance, healthcare, marketing, and technology to improve decision-making, optimize processes, and predict trends. Compare and read user reviews of the best On-Premises Data Science software currently available using the table below. This list is updated regularly.

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    MATLAB

    MATLAB

    The MathWorks

    MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work. Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques. Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC. MATLAB works with Simulink to support Model-Based Design.
  • 2
    JetBrains Datalore
    Datalore is a collaborative data science and analytics platform aimed at boosting the whole analytics workflow and making work with data enjoyable for both data scientists and data savvy business teams across the enterprise. Keeping a major focus on data teams workflow, Datalore offers technical-savvy business users the ability to work together with data teams, using no-code or low-code together with the power of Jupyter notebooks. Datalore enables analytical self-service for business users, enabling them to work with data using SQL and no-code cells, build reports and deep dive into data. It offloads the core data team with simple tasks. Datalore enables analysts and data scientists to share results with ML Engineers. You can run your code on powerful CPUs or GPUs and collaborate with your colleagues in real-time.
    Starting Price: $19.90 per month
  • 3
    Coder

    Coder

    Coder

    Coder delivers self-hosted cloud development environments consistently provisioned as code and pre-deployed for developer activity on day one. Preferred by enterprises, Coder is open source and runs air-gapped on-premise or in your cloud, giving developers access to powerful infrastructure without compromising governance. Coder moves local development and source code to your centralized infrastructure where developers can access their remote environments via their favorite desktop or web-based IDE. This is the optimal intersection of improved developer experience, productivity, and security. Coder’s ephemeral development environments are provisioned as code from pre-defined templates, which means developers can create a new workspace with a click. Now, they can avoid days or weeks struggling with local dependency versioning conflicts or security approvals. With Coder, developers can onboard or shift between projects in minutes.
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