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https://blog.stephenwolfram.com/2019/05/launching-today-free-wolfram-engine-for-developers/

http://www.wolfram.com/engine/

The Free Wolfram Engine for Developers is available for pre-production software development.

You can use this product to:

  • Develop a product for yourself or your company

  • Conduct personal projects at home, at school, at work

  • Explore the Wolfram Language for future production projects

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    $\begingroup$ Answers really focus on how to setup Jupyter interface with WE. Is that what you want from this question? If not maybe we could rephrase it to fit answers and move the original one to a new quesion? $\endgroup$ – Kuba♦ Jun 4 '19 at 21:25
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On Windows:

  1. download and install Python: https://www.python.org/

    Don't forget to to check "add python environment variables" / "add to PATH", otherwise you will have to add python.exe path manually.

  2. Download .paclet file from assets section in github : WLforJupyter > releases

    enter image description here

  3. In the Command Prompt (Admin): 

    pip install jupyter 



    wolframscript



    PacletInstall @ "path/to/the.paclet"

<< WolframLanguageForJupyter`

ConfigureJupyter["Add"]

That's all! Now in the Command Prompt: jupyter notebook This will launch a web browser. Select New -> Wolfram Language

enter image description here

enter image description here

And just for fun:

enter image description here

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    $\begingroup$ Will functions like Plot or 3DPlot work in Jupyter? $\endgroup$ – floyd17 May 23 '19 at 17:59
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    $\begingroup$ @floyd17 Yes, but you will only get static images as a result. You will not be able to rotate 3D graphics freely (though you can make an animated gif of rotating 3D graphics if you know what you're doing). $\endgroup$ – Sjoerd Smit May 23 '19 at 18:42
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    $\begingroup$ My Jupyter has been installed with Anaconda. I don't know whether that makes the difference, but I get "ConfigureJupyter::notfound: Jupyter installation on Environment["PATH"] not found.". Even if I do ConfigureJupyter["add", <|"JupyterBinary" -> "D:\\Anaconda3\\Scripts\\jupyter.exe"|>] to point at the Jupyter executable it doesn't work. $\endgroup$ – Sjoerd C. de Vries May 24 '19 at 7:46
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    $\begingroup$ On Windows 10, instructions given above worked perfectly for me. (Thanks :-)). $\endgroup$ – user1066 May 28 '19 at 12:10
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    $\begingroup$ @SjoerdSmit amd floyd17: FYI - mathematica.stackexchange.com/q/199736/5478 $\endgroup$ – Kuba♦ Jun 4 '19 at 21:22
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Instructions for Linux (tried on Ubuntu/Mint). I tried this yesterday and ran into some issues I think deserve attention in a separate answer. This answer might also contain relevant information for debugging problems on other operating systems.

  • Make sure wolframscript works from your terminal.
  • Make sure Python and Jupyter are installed. Test that you can start a Jupyter notebook by running jupyter notebook. If you can't, take a look at the answer below:

https://stackoverflow.com/questions/35313876/after-installing-with-pip-jupyter-command-not-found

  • Clone or download the WolframLanguageForJupyter repository, following the same instructions from the other answers in this thread.

At this point you have two options. Either:

  1. You navigate to the WolframLanguageForJupyter code and execute the wolframscript file with ./configure-jupyter.wls add. In my own attempt, I got a message

    Jupyter installation on Environment["PATH"] not found

this can be remedied by using the syntax 

configure-jupyter.wls add "/absolute/path/to/Wolfram Engine binary" "path/to/Jupyter binary"

instead. The path to the Jupyter binary for me was ~/.local/bin/jupyter (see also the SO answer linked above). The path to the Wolfram binary you can figure out by starting wolframscript and then evaluating FileNameJoin[{$InstallationDirectory, "Executables", "WolframKernel"}].

Or:

  1. You do the installation from within wolframscript:
    • Find out where your $UserBaseDirectory is: start wolframscript and then evaluate $UserBaseDirectory.
    • Navigate to this directory and copy the inner WolframLanguageForJupyter directory from the repository into the ./Applications directory. You should now have a directory structure that looks like: $UserBaseDirectory/Applications/WolframLanguageForJupyter/Kernel
    • (Re-)start wolframscript and run Needs["WolframLanguageForJupyter`"] (to load the package) and then ConfigureJupyter["Add"]. If you (still) get the error complaining about the Jupyter path, run ConfigureJupyter["Add", "JupyterInstallation" -> "path/to/Jupyter binary"] instead (see point 1 for the location of the jupyter binary).
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Instructions for macOS:

  • Make sure you installed wolframscript along with Mathematica or the Wolfram Engine. There is a separate installer for it in the disk image.

  • Install Jupyter. Detailed instructions are at https://jupyter.org/install I used Anaconda Python for this (conda install jupyter in the terminal if it's not already installed—but with Anaconda it should be).

  • Clone the WolframLanguageForJupyter repository. Open a terminal, enter the directory where you want it, then run git clone https://github.com/WolframResearch/WolframLanguageForJupyter.git. See the green button on GitHub for more help.

  • Enter the repository's directory, then run ./configure-jupyter.wls add

  • Run jupyter notebook to start the system. Note: Do not use jupyter lab because currently WolframLanguageForJupyter does not work well with it.

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    $\begingroup$ Thanks, very helpful! $\endgroup$ – Anton Antonov May 27 '19 at 18:26
  • $\begingroup$ Thank you, very simple installation, very good workflow! $\endgroup$ – yarchik Jun 16 '20 at 9:53
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i'd like to add for the setup on Windows for Anaconda.

After Anaconda has been installed,

  1. open Anaconda Powershell Prompt

  2. run wolframscript

  3. and follow the installation process of Method 2 (https://github.com/WolframResearch/WolframLanguageForJupyter)

i did this without specifying any path for python or jupyter and it works. it seems the path has been set already after opening Anaconda Powershell Prompt.

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For Linux only: https://github.com/Ludwiggle/JWLX

Pros: code auto-completion, neat separation between Wolfram kernel and Jupyter kernel, special functions to handle Dynamics in the browser.

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If you mean front-end in the strict sense, i. e. the visual notebook interface for interactivity, the following is not for you. But if all you want is displaying visualizations / graphics (incl. typeset expressions), you could use some of the windowing functionality together with J/Link, as I explain in my video here: https://www.youtube.com/watch?v=S1maEG-0nvE. Because J/Link works just fine from the engine.

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