List of the Top 2 Financial Modeling Software for Linux in 2025
Reviews and comparisons of the top Financial Modeling software for Linux
Here’s a list of the best Financial Modeling software for Linux. Use the tool below to explore and compare the leading Financial Modeling software for Linux. Filter the results based on user ratings, pricing, features, platform, region, support, and other criteria to find the best option for you.
EASA provides an innovative approach to transform Excel spreadsheets into secure, tailored web applications that can be accessed through a web portal by both internal and external personnel, including partners, resellers, suppliers, and customers, as well as those utilizing subscription-based applications (SaaS). In contrast to alternative solutions, EASA allows for the deployment of complex spreadsheets that include VBA, macros, and add-ins without the need for converting logic and formulas, which can be retained and reused effectively. Furthermore, EASA enhances spreadsheet capabilities by offering advanced features such as genuine database functionality, seamless integration, and efficient workflow management.
Typical applications of EASA include implementing spreadsheets for CPQ (configure price quote), insurance rating, financial analytics, engineering calculations, and numerous other uses.
Before embarking on extensive and uncertain development projects or migrating all your Excel functionalities into a commercial offering, it is advisable to consider EASA. Organizations such as AIG, Voya, HP, and Caterpillar are among its clients, making it a solution worth investigating for those seeking to optimize their spreadsheet applications. By exploring EASA, businesses can leverage their existing Excel expertise while gaining access to enhanced capabilities.
The Modelscape solution simplifies the entire lifecycle management of financial models for financial institutions, improving documentation, transparency, and adherence to compliance standards. By implementing this solution throughout the model lifecycle, users benefit from consistent workflows, automated documentation generation, and efficient artifact linking. This methodology not only allows for the scaling of algorithms, models, and applications in both horizontal and vertical dimensions but also accommodates a wide range of enterprise infrastructures and programming languages such as Python, R, SAS, and MATLAB. The solution ensures comprehensive tracking of issues during the model lifecycle through complete model lineage and extensive reporting on both issues and usage. An executive dashboard presents valuable insights into model data, supports the execution of custom algorithms, and provides automated workflows, all while offering web-based access to a detailed and auditable inventory of models and their interconnected dependencies. Users are empowered to create, back-test, and effectively document their models and methodologies, enhancing their operational processes. This solution not only boosts the transparency, reproducibility, and reusability of financial models but also automatically produces essential documentation and reports that assist in ongoing compliance efforts. Consequently, it enables financial institutions to uphold exceptional standards in model governance and achieve greater operational efficiency, ultimately leading to better decision-making and risk management across the organization.
Previous
You're on page 1
Next
Categories Related to Financial Modeling Software for Linux