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https://github.com/genedan/actuarial-foss

A curated list of free and open source actuarial software
https://github.com/genedan/actuarial-foss

actuarial insurance

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A curated list of free and open source actuarial software

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README 

        
# actuarial-foss

A curated list of free and open source actuarial software



## Contributing



If you have a package or know of a package that you would like to have included in this list, feel free to make a pull request.



## Loss Modeling and Statistics

- [actuar](https://github.com/vigou3/actuar) - Actuarial functions and heavy tailed distributions for R.

- [aggregate](https://github.com/mynl/aggregate) - A powerful aggregate distribution modeling library in Python.

- [statsmodels](https://github.com/statsmodels/statsmodels) - Statsmodels: statistical modeling and econometrics in Python.

- [tweedie (Python)](https://github.com/thequackdaddy/tweedie) - Tweedie family density estimation in python.

- [tweedie (R)](https://cran.r-project.org/web/packages/tweedie/index.html) - R library for the Tweedie distribution.



## Financial Mathematics

- [TmVal](https://github.com/genedan/TmVal) - Time value of money, annuity, and bond valuations with Python.

- [MIES](https://github.com/genedan/MIES) - Miniature Insurance Economic Simulator.

- [Yields.jl](https://github.com/JuliaActuary/Yields.jl) - A simple interface for constructing, manipulating, and using yield curves for modeling purposes.



## Reserving

- [chainladder-python](https://github.com/casact/chainladder-python) - Actuarial reserving in Python.

- [ChainLadder](https://github.com/mages/chainladder) - Claims reserving models in R.

- [deeptriangle](https://github.com/kasaai/deeptriangle) - DeepTriangle: A Deep Learning Approach to Loss Reserving.



## Pricing

- [insurancerating](https://github.com/MHaringa/insurancerating) - R-package for actuarial pricing.



## Predictive Modeling

- [sparklyr](https://github.com/sparklyr/sparklyr) - R interface for Apache Spark.

- [double_lift](https://github.com/casact/double_lift) - Double Lift Charts in Python.



## Catastrophe Modeling

- [OasisLMF](https://github.com/OasisLMF/OasisLMF) Oasis - an open source catastrophe modeling framework.

- [OasisPlatform](https://github.com/OasisLMF/OasisPlatform) - Oasis loss modelling platform in Python.

- [ktools](https://github.com/OasisLMF/ktools) - In-memory simulation kernel for loss modelling.

- [OasisPiWind](https://github.com/OasisLMF/OasisPiWind) - Toy UK windstorm model.



## Data Management

- [OMG PCDM](https://www.omg.org/spec/PC/About-PC/) - the Object Management Group Property Casualy Data Model specification.

- [PCDM](https://github.com/genedan/MIES) - Property Casualty Data Model Specification, a SQLAlchemy implementation based off OMG PCDM.

- [RDOS](https://github.com/RMS-open-standards/RDOS) - RMS Risk Data Open Standard Schema.



## Data Manipulation

- [modelx](https://github.com/fumitoh/modelx) - Use Python like a spreadsheet!



## Life Insurance

- [lifelib](https://github.com/fumitoh/lifelib) - Actuarial models in Python.

- [pyliferisk](https://github.com/franciscogarate/pyliferisk) - A python library for life actuarial calculations.

- [lifecontingencies](https://github.com/spedygiorgio/lifecontingencies) - Financial and Actuarial Mathematics for Life Contingencies.

- [demography](https://github.com/robjhyndman/demography) - demography package for R.

- [LifeContingencies.jl](https://github.com/JuliaActuary/LifeContingencies.jl) - Life Actuarial Maths in Julia.

- [MortalityTables.jl](https://github.com/JuliaActuary/MortalityTables.jl) - bundled, efficient mortality and other rate tables and related functions.

- [elizur](https://github.com/trollefson/elizur) - Elizur is a finance library for actuaries, finance professionals, and students.

- [JINH](https://github.com/SUNJIANZHI/JINH) - Pure Functional Actuarial Language.



## General

- [ActuaryUtilities.jl](https://github.com/JuliaActuary/ActuaryUtilities.jl) - A combination of convienent financial maths, risk measures, and insurance-related convenience functions.

- [Loss Data Analytics](https://ewfrees.github.io/Loss-Data-Analytics/index.html) - An open text authored by the Actuarial community



## Documentation

- [actuarialsymbol](https://ctan.org/pkg/actuarialsymbol?lang=en) - A LaTeX package for rendering actuarial notation.



## Data Sets



- [covid_19_data](https://github.com/casact/covid_19_data) - Data collection and exploratory analysis related to COVID-19 for general insurance actuaries and the public.

- [NOAA](https://www.ncdc.noaa.gov/) - National Oceanic and Atmospheric Administration.

- [NHTSA](https://www.nhtsa.gov/research-data/databases-and-software) - National Highway Traffic Safety Administration.

- [raw_package](https://github.com/casact/raw_package) - Data package for R actuarial workshops.

- [cellar](https://github.com/kasaai/cellar) - Data with terroir.



## Communities



- [Casualty Actuarial Society](https://github.com/casact) - The CAS GitHub page.

- [Kasa AI](https://github.com/kasaai/) - A ML focused group.

- [Oasis](https://github.com/OasisLMF) - A sponsored organization developing the open source catastrophe model, Oasis.

- [Aposin](https://github.com/aposin) - Association for the promotion of open-source insurance software and for the establishment of open interface standards in the insurance industry.

- [openIMIS](https://github.com/openimis) - An open source insurance management information system (health).

- [JuliaActuary](https://juliaactuary.org/) - A combination of flexible actuarial packages designed to work well together.