|accounting||113.97 kB||UNKNOWN||12 Years||16 Jul 2014|
|accounting-js||15.77 kB||MIT||7 Years||24 Feb 2016|
|technicalindicators||3.69 MB||MIT||7 Years||16 Mar 2020|
|financejs||9.03 kB||MIT||8 Years||23 Jan 2017|
|jsvat||36.75 kB||MIT||8 Years||6 Jul 2021|
|yahoo-finance||357.92 kB||MIT||10 Years||5 Jan 2023|
|react-stockcharts||998.03 kB||MIT||8 Years||4 Sep 2018|
|tulind||32.68 kB||LGPL-3.0||6 Years||8 Aug 2021|
|open-exchange-rates||3.41 kB||UNKNOWN||11 Years||16 Jul 2014|
|ofx||4.77 kB||MIT||11 Years||13 Feb 2020|
|banking||7.01 kB||UNKNOWN||11 Years||15 Oct 2018|
|ib||26.15 kB||MIT||10 Years||7 Apr 2021|
|google-finance||6.01 kB||MIT||10 Years||26 Jul 2018|
|parsecurrency||2.08 kB||MIT||6 Years||6 Nov 2022|
|trendyways||2.41 MB||Apache-2.0||7 Years||20 Dec 2022|
Specific use-cases might include:
Complex calculations: Regardless of the fact whether an application is focusing on simple interest calculations, or on more complex computation such as risk assessment or forecasting future trends based on past financial data, finance libraries can be handy.
Currencies and exchange: If an application supports multiple currencies or needs to perform live currency exchange rates, finance libraries can take care of these scenarios.
Portfolio Management: Creating softwares for financial planning, asset allocation, and risk-return analysis.
Analytics and Reporting: Libraries can aid in generating complex data graphs, financial reports and other visual representations of data.
Financial Formulas: Functions that can calculate financial indicators such as compound interest, mortgage payments, depreciation and more.
Currency Conversion: Features that allow easy conversion between different currencies, often pulling live data from a reliable source.
Unit conversion: For example, converting between different intervals of time or different interest rates (e.g., annual to monthly).
Statistical Functions: Some libraries offer functions to calculate statistical data related to finance such as mean, median, standard deviation etc.
Date Calculations: Financial calculations often require specific date and time manipulations, which a financial library can provide.
Categorization and filtering: Functions to help classify financial data and filter out unnecessary information.
While using finance libraries, developers should be aware of the following gotchas/pitfalls:
Always check the library's accuracy. While many finance libraries can provide reasonable approximations, depending upon the precision required, it might be worthwhile to verify and validate the library calculations with a trusted source.
Be sure to make regular updates as finance libraries can become quickly outdated, especially in regards to aspects like exchange rates or legal regulations related to finance.
Understand the library's methods thoroughly to avoid misuse. Often libraries have documentation that must be read to prevent their misuse.
Look at the library's dependencies. Some finance libraries depend on other packages that might be large, introducing bloat into your codebase.
Ensure that the library is regularly maintained and has good community support. If it's not actively maintained, you could run into problems with no solutions or updates.
Be aware of any licensing restrictions that may come with the package if you are using it for commercial purposes.