Open-source Python and R Tools for Data Science in Production


We love using open-source software! We use many languages and technologies while solving technical problems in our daily jobs. Our goal is to contribute back to the community by making the tools we find most useful in our day jobs available to anyone for anything. Although these tools may have originally been developed for corporate use, our mission is to publish them under an independent organization led by open-source enthusiasts to guarantee the long-term and community-driven success of our beloved tech stacks.


Amy Tzu-Yu Chen
Los Angeles | Taiwan works @Openmail

๐Ÿ™‰ Data Practitioner ๐Ÿ™ˆ useR ๐Ÿ™Š #rstats #NLProc

Attila Nagy
Somewhere on earth

Gergely Darรณczi
Los Angeles & Hungary works @openmail

Happy R dev, ex @cardcorp, founder of @Rapporter, Hun RUG, org of the first @satRdays and @eRum2018 conferences. Loving everything related to R and open-source.

Los Angeles, CA works @Openmail

Data Scientist

Neal Fultz
Los Angeles, CA works @njnmco

Computational statistician, programmer and data scientist.

Latest Post

May 1, 2020

sample blog - botor

botor: Reticulate wrapper on ‘boto3’ This R package provides raw access to the ‘Amazon Web Services’ (‘AWS’) ‘SDK’ via the ‘boto3’ Python module and some convenient helper functions (currently for S3 and KMS) and workarounds, eg taking care of spawning new resources in forked R processes. Installation This package requires Python to be installed along with the boto3 Python module, which can be installed from R via: reticulate::py_install('boto3') If that might result in technical problems that you cannot solve, then it’s probably easier to install a standalone Python along with the system dependencies etc via rminiconda. Read more


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