Compare the Top Finance Software that integrates with MATLAB as of July 2025

This a list of Finance software that integrates with MATLAB. Use the filters on the left to add additional filters for products that have integrations with MATLAB. View the products that work with MATLAB in the table below.

What is Finance Software for MATLAB?

Financial software is a broad category of financial software. Finance software provides all the necessary tools to record, store, manage, analyze and process financial information, accounting, trading, records, bills, transactions, and more. Compare and read user reviews of the best Finance software for MATLAB currently available using the table below. This list is updated regularly.

  • 1
    EASA

    EASA

    EASA

    EASA has a unique approach to deploying existing, Excel spreadsheet-based tools as secure, custom web applications. These apps can be deployed within a web portal for use by internal or external staff, including partners, resellers, suppliers or customers as well as subscription based applications (SaaS). Unlike competing solutions, sophisticated spreadsheets with VBA, macros and add-ins can be deployed with EASA. Furthermore, EASA provides full database functionality, approvals and notifications and integration with CRM and ERP systems. Common use-cases include the deployment of spreadsheets used for CPQ (configure price quote), insurance raters, financial analytics, engineering calculations, and many more. Your existing spreadsheet becomes the “engine” for the web app, eliminating any need to extract the logic and reprogram in a separate solution. If your company has made a significant investment into critical spreadsheets, then learn why AIG, Voya, HP and others rely on EASA.
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  • 2
    Modelscape

    Modelscape

    MathWorks

    The Modelscape solution enables financial institutions to reduce the complexity of managing the lifecycle of financial models while improving model documentation, transparency, and compliance. By implementing the solution throughout the model lifecycle, you can use templated model workflows, automated documentation, and artifact linking. Scale algorithms, models, and apps both horizontally and vertically. Provide support for enterprise infrastructure, tooling, and languages such as Python, R, SAS, and MATLAB. Track issues across the model lifecycle with full model lineage, issue, and usage reporting. Use the executive dashboard for model data, custom algorithm execution, automated workflows, and web-based access to a comprehensive, auditable inventory of all models and dependencies. Develop, back-test, and document models and methodologies. Improve transparency, reproducibility, and reusability of models. Automatically generate model documentation and reports.
  • 3
    Macrobond

    Macrobond

    Macrobond

    From the first question to the final chart, Macrobond powers the entire research process by centralizing data management, advanced analysis, visualization, and reporting in a seamless workflow. Users consolidate their work by tapping into a clean, searchable library of over 2,400 global financial and economic sources; analyze in‑platform using built‑in calculation and comparison functions without exporting data; visualize results instantly with customizable charting tools that communicate insights clearly; and publish polished, up‑to‑date reports ready for presentation. Macrobond’s end‑to‑end platform streamlines research steps, accelerates time to insight, and ensures consistency and accuracy across projects, so teams can think fast and make faster, data‑driven decisions.
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