Best Financial Modeling Software for Linux of 2024

Find and compare the best Financial Modeling software for Linux in 2024

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

    EASA

    EASA

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    15 Ratings
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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
    Modelscape helps financial institutions reduce the complexity in managing the lifecycles of financial models, while improving transparency, compliance, and model documentation. You can use automated documentation and artifact links by implementing the solution through the entire model lifecycle. Scale models, algorithms, and apps horizontally and vertically. Support enterprise infrastructure, tools, and languages like Python, R SAS, MATLAB, and SAS. Track issues throughout the model lifecycle using full model lineage reporting, issue tracking, and usage reporting. Use the executive dashboard to access model data, execute custom algorithms, automate workflows, and gain web-based access a comprehensive auditable inventory of models and dependencies. Models and methodologies can be developed, tested and documented. Transparency, reproducibility and reusability are improved. Automatically generate model reports and documentation.
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