Jupyter Notebooks

This page summarizes the projects mentioned and recommended in the original post on /r/datascience

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  • JupyterApp-mac

    Standalone macOS Jupyter App

  • On macOS check out this app: https://github.com/FelixKratz/JupyterApp-mac it has Finder integration, automatic server start and window tabbing support. Alongside the kite extension is great for better code suggestions.

  • RStudio Server

    RStudio is an integrated development environment (IDE) for R

  • I’m assuming it will go live in the next major R update, however, the date of the next big R update has not been announced. Here is a link to the feature https://github.com/rstudio/rstudio/pull/6862

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • jupyterlab-kite

    Kite Autocomplete Extension for JupyterLab

  • I’ve recently been pleased with kite’s autocomplete in jupyterlab

  • cmder

    Lovely console emulator package for Windows

  • and develop my codebase in vim, from a bash shell on windows, using cmder as a terminal emulator. I run my tests in my docker container. cmder with the default settings is very slow due to git and windows. There are workarounds here: https://github.com/cmderdev/cmder/issues/2028 to speed up cmder, but they make git add -i behave weirdly as a side effect. If I were on mac, I'd use iTerm2, and on Linux I'd use Terminator.

  • docker-data-science

    Discontinued Docker image with Data Science tools.

  • Exactly. You can pre-configure yours for data science projects and publish it to Docker Hub for others to leverage. There’s one here: https://github.com/0xnu/docker-data-science

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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