Best Financial Modeling Software for Linux of 2025

Find and compare the best Financial Modeling software for Linux in 2025

Use the comparison tool below to compare the top Financial Modeling software for Linux on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    EASA Reviews
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    EASA enableds a unique method of deploying Excel spreadsheets 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, and logic and formulas are never converted but simply reused. In addition, EASA enables additional functionality above and beyond most spreadsheets, including (true) database functionality, integration and workflow management. Common use-cases include the deployment of spreadsheets used for CPQ (configure price quote),insurance raters, financial analytics and reporting, engineering calculations, and many more. Before committing to lengthy and risky development projects, or transferring all your Excel logic into commercial solution, have a look at EASA. Customers include companies such as AIG, Voya, HP and Caterpillar and is well worth exploring further.
  • 2
    Modelscape Reviews
    The Modelscape solution streamlines the management of financial models' lifecycle for financial institutions, enhancing documentation, transparency, and compliance. By adopting this solution across the entire model lifecycle, users can take advantage of standardized workflows, automated documentation processes, and seamless artifact linking. This approach allows for the horizontal and vertical scaling of algorithms, models, and applications. Additionally, it supports various enterprise infrastructures and programming languages, including Python, R, SAS, and MATLAB. Comprehensive tracking of issues throughout the model lifecycle is facilitated by full model lineage and detailed reporting on issues and usage. An executive dashboard provides insights into model data, enables custom algorithm execution, and offers automated workflows, all while granting web-based access to a thorough, auditable inventory of models and their dependencies. Users can also develop, back-test, and document their models and methodologies effectively. This solution significantly enhances the transparency, reproducibility, and reusability of financial models, while also automatically generating the necessary documentation and reports to support ongoing compliance efforts. In doing so, it empowers financial institutions to maintain high standards in model governance and operational efficiency.
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