Broad enough to scale
FinEngine can credibly hold packages, calculators, workflow tooling, analytics, and future finance operations modules.
FinEngine’s methodology page separates product theory, localization logic, and roadmap rationale from the main product surface so reviewers can judge the system with less visual noise.
FinEngine can credibly hold packages, calculators, workflow tooling, analytics, and future finance operations modules.
The name fits a library-first ecosystem where modules, examples, typed utilities, and browser demos matter more than slogans.
Decision-makers can identify the product class quickly: an engine for financial logic, controls, and operational consistency.
Credit risk and financial health analytics for lending, banking, and teaching surfaces.
Financial ratio stacks and DuPont decomposition for statement analysis and classroom demos.
Microcredit transparency logic for flat-rate vs declining-balance interpretation.
All demo calculations run in-browser, which matters for teachers, researchers, and finance teams handling sensitive examples.
Sub-unit handling (Poisha), 3-2-2 grouping, cash in/out validation, and personal budgeting.
Compound interest mechanics, amortized reducing balance, debt-burden ratios, and affordability scoring.
Wallet settlement, ledger balance, fee reasoning, account mapping.
Sales, expense buckets, payable/receivable discipline, runway thinking.
FinEngine Labs is a computational research and simulation platform developed as a CFSBR initiative. Researchers and students can cite it in papers, theses, and working documents using the BibTeX entry below.
@software{finengine2026,
title = {FinEngine Labs: A Computational Research and Simulation Platform},
author = {Rafi, Md Golam Mubasshir},
organization = {Centre for Fintech \& Strategic Business Research (CFSBR)},
year = {2026},
version = {0.3.0},
url = {https://finengine.js.org/},
note = {Open-source JavaScript finance toolkit; hosted on GitHub as gmrafi/FinEngine},
}