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• Visual Studio Code

  2,852 158,564 10.0 TypeScript

  Visual Studio Code

  

I believe both VS Code and VS Code Notebooks are both open source [1-2].

[1] https://github.com/microsoft/vscode

[2] https://github.com/microsoft/vscode-nodebook

• datastation

  25 2,854 0.0 TypeScript

  App to easily query, script, and visualize data from every database, file, and API.

  

I'm working on an open-source desktop app [0] similar to Jupyter but more oriented toward non-data-science developer workflows like querying/joining data from multiple databases and scripting and graphing for internal reporting.

Another similar tool is Simon Willison's Datasette [1].

[0] https://github.com/multiprocessio/datastation

[1] https://github.com/simonw/datasette

• SurveyJS

  surveyjs.io featured

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

• datasette

  187 8,963 9.3 Python

  An open source multi-tool for exploring and publishing data

I'm working on an open-source desktop app [0] similar to Jupyter but more oriented toward non-data-science developer workflows like querying/joining data from multiple databases and scripting and graphing for internal reporting.

Another similar tool is Simon Willison's Datasette [1].

[0] https://github.com/multiprocessio/datastation

[1] https://github.com/simonw/datasette

• vscode-nodebook

  1 172 0.0 TypeScript

  Node.js notebook

  

I believe both VS Code and VS Code Notebooks are both open source [1-2].

[1] https://github.com/microsoft/vscode

[2] https://github.com/microsoft/vscode-nodebook

• python-build-standalone

  11 1,571 9.1 Python

  Produce redistributable builds of Python

This is really interesting to see. I've been trying to solve a similar problem over the past few weeks - bundling up a Python web application as an installable Desktop app, in my case for https://datasette.io/desktop - so it's really interesting to see how they've approached the problem.

I ended up including a full copy of Python using https://github.com/indygreg/python-build-standalone - it looks like they've bundled Conda.

I wrote up detailed notes on how I solved the Python bundling problem in https://simonwillison.net/2021/Sep/8/datasette-desktop/#how-... and in https://til.simonwillison.net/electron/python-inside-electro...

• datasette-app

  12 115 2.6 JavaScript

  The Datasette macOS application

This is really interesting to see. I've been trying to solve a similar problem over the past few weeks - bundling up a Python web application as an installable Desktop app, in my case for https://datasette.io/desktop - so it's really interesting to see how they've approached the problem.

I ended up including a full copy of Python using https://github.com/indygreg/python-build-standalone - it looks like they've bundled Conda.

I wrote up detailed notes on how I solved the Python bundling problem in https://simonwillison.net/2021/Sep/8/datasette-desktop/#how-... and in https://til.simonwillison.net/electron/python-inside-electro...

• pyenv

  261 36,817 8.9 Roff

  Simple Python version management

  

Not unless you want to janitor the python install and nurse it along manually through minor and major updates. Most folks will just want to use pyenv or similar: https://github.com/pyenv/pyenv

• InfluxDB

  www.influxdata.com featured

  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.

  

• evcxr

  75 5,222 8.6 Rust
  

Theres a repl for rust that can be used in a Jupyter notebook. I am also curious about how it works under the hood but here it is for anyone to check out: https://github.com/google/evcxr

• iron.nvim

  27 906 5.2 Lua

  Interactive Repl Over Neovim

  

If you're a (neo)vim user, I highly recommend using something like https://github.com/hkupty/iron.nvim .

Using this, I never have to copy and paste "production code" into "exploration code/notebook", because I simply select the part that I want to test in the production code, and then type in some key mapping to run it.

• vscode-jupyter

  32 1,225 0.0 TypeScript

  VS Code Jupyter extension

  

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