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Update README.md with QuantLibRisks

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Auto Differentiation Dev Team
2024-04-05 06:43:57 +01:00
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@@ -456,6 +456,8 @@ A curated list of insanely awesome libraries, packages and resources for Quants
## Frameworks
- [QuantLib](https://github.com/lballabio/QuantLib) - The QuantLib project is aimed at providing a comprehensive software framework for quantitative finance.
- [QuantLibRisks](https://pypi.org/project/QuantLib-Risks/) - Fast risks with QuantLib in Python
- [QuantLibRisksCpp](https://github.com/auto-differentiation/QuantLib-Risks-Cpp) - Fast risks with QuantLib in C++
- [JQuantLib](https://github.com/frgomes/jquantlib) - Java port.
- [RQuantLib](https://github.com/eddelbuettel/rquantlib) - R port.
- [QuantLibAddin](https://www.quantlib.org/quantlibaddin/) - Excel support.
@@ -464,7 +466,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
- [PyQL](https://github.com/enthought/pyql) - Python port.
- [QuantLib.jl](https://github.com/pazzo83/QuantLib.jl) - Julia port.
- [QuantLib-Python Documentation](https://quantlib-python-docs.readthedocs.io/) - Documentation for the Python bindings for the QuantLib library
- [QuantLib with Automatic Differention enabled](https://github.com/auto-differentiation/quantlib-xad) - Integration of Automatic Differentiation with the QuantLib library
- [TA-Lib](https://ta-lib.org) - perform technical analysis of financial market data.
- [ta-lib-python](https://github.com/TA-Lib/ta-lib-python)
- [ta-lib](https://github.com/TA-Lib/ta-lib)