When it comes to #Reproducible research, the elephant in the room is outdated code and software that you cannot replicate or reproduce the results with. Yesterday I spent practically all day trying to troubleshoot how to install an outdated version of #Pymc2 and #Python36 on an M1 Mac to reproduce the burden of disease estimations. Nothing worked. So your code can be open source, you can be well-meaning, but it still does not matter with #Reproducibility if they cannot be replicated and tested.

https://pypi.org/project/dismod-mr/

Arins Hub

@arinbasu1 consider using a platform like https://renkulab.io - set it up once and it will work (almost) forever and not just for you but for anyone else who wants to repeat/reproduce/reuse it!
Reproducible Data Science | Open Research | Renku

Work together on data science projects reproducibly. Share code, data and computational environments whilst accessing free computing resources.

Fantastic! just checked out Renku! Fascinating! Everything works, has a docker image, gitlab versioned, fast onboarding, I mean very very good. Most importantly, it is the ONLY one (other than CoCalc) that has a full fledged Julia distribution bundled with it! Love it! And your point of reproducibility is fully supported with Python/R/julia, what more do we want? 😃
@arinbasu1 great, glad you tried it out! We don't have too many Julia users atm so please let us know how we could improve the base images. Ideally you would start a discussion on our discourse https://renku.discourse.group
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Happy to do it. I must say I am very impressed with renkulab.io, as this is the ONLY working #JuliaLang implementation in #JupyterLab hosted like this. You cannot get this practically in any other implementations, I do not know why. The Julia version is an old version but because everything is nicely contained in Julia packages, it won’t break anything. I am a bit “nervous” that there was no mention of price on the website, 🙂
Reproducible Data Science | Open Research | Renku

Work together on data science projects reproducibly. Share code, data and computational environments whilst accessing free computing resources.

@arinbasu1 which versions of Julia would it make sense to support?
Thanks Rok. The current stable version is 1.9.0, the version on the instance is 1.7.3, I think.
@arinbasu1 I just built an image with 1.9.0 - you can try it out by replacing the image name in the FROM lines of the Dockerfile with renku/renkulab-julia:1.9.0-05ea15c
Thanks Rok. I made the changes in the dockerfile you suggested. Hope it did not break anything.