[D] What are some statistical packages you use in R that aren't available in Python?

1. statsforecast

   1 60 4,866 8.6 Python

   Lightning ⚡️ fast forecasting with statistical and econometric models.

   

   [HierarchicalForecast package](https://github.com/Nixtla/hierarchicalforecast) that mirrors [hts](https://cran.r-project.org/web/packages/hts/vignettes/hts.pdf) that is now part of fable. The same with previous comment on efficient implementations of ARIMA and ETS on the [StatsForecast package](https://github.com/Nixtla/statsforecast).

2. SaaSHub

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   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

3. hierarchicalforecast

   2 11 753 8.1 Python

   Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

   

   [HierarchicalForecast package](https://github.com/Nixtla/hierarchicalforecast) that mirrors [hts](https://cran.r-project.org/web/packages/hts/vignettes/hts.pdf) that is now part of fable. The same with previous comment on efficient implementations of ARIMA and ETS on the [StatsForecast package](https://github.com/Nixtla/statsforecast).

4. ploomber

   3 121 3,594 3.7 Python

   Discontinued The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

   

   I started my career in Data Science in R, but since my first job required Python, I switched. What I miss the most is ggplot; Python plotting is not there in terms of usability. There are quite a few statistical modeling packages that you can only find in R because that's the language that the author knows. Fortunately R <> Python interoperability is getting better by the day with projects like parquet; so now it has become simpler to write pipelines that have some R scripts and some Python scripts. I like this approach a lot better than rpy.

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