lablup / atom-live-code-runner

ATOM package to run code snippets using Sorna API server

live-code-runner

ATOM editor package to run code snippets via Backend.AI Cloud server (https://cloud.backend.ai) or on-premise Backend.AI server.

Description

live-code-runner is ATOM editor package to add remote code execution feature using Backend.AI Cloud Service. live-code-runner uses Backend.AI framework and Backend.AI API. Currently, Backend.AI supports 15 programming languages now.

You can run your code (or code snippet) without installing or setting any programming environment with this package. All you need to run code is

• Install live-code-runner package.
• Get Backend.AI Cloud API access / secret key at Backend.AI Cloud
• Type your keys on package preferences page.
• You are ready to go!

<iframe width="853" height="480" src="https://www.youtube.com/embed/IVX1SClEaMY" frameborder="0" allowfullscreen></iframe>

How-to

1. Search and install live-code-runner via preferences - install.
2. Get your own API key pair (API key / Secret key) at Backend.AI Cloud Service. If you have set up your own Backend.AI on-premise server, you can your own server endpoint and API key set.
3. Type your API key pair on preferences page (preferences - packages - live-code-runner)
4. Write your code on editor.
5. Run code by

• Choose Run code on Backend.AI Cloud at context menu
• Type backend and choose live-code-runner: Run at command palette.

6. Execution result will be shown at bottom pane.

Supporting modes

Here we list the latest versions of our supported kernel iamges.
"*" in the Query mode column means that it supports preservation of global contexts across different query runs.

Language	Image Name	Version	Batch	Query	Input Hook	TTY	Runtime Impl.
C	lablup/kernel-c	6.3	O	O	O		GCC on Alpine 3.6
C++ (14)	lablup/kernel-cpp	6.3	O	O			GCC on Alpine 3.6
Go	lablup/kernel-go	1.9	O	O
Haskell	lablup/kernel-haskell	8.2	O	O
Java	lablup/kernel-java	8.0	O	O
Linux Console	lablup/kernel-git	-	-	-	-	O	Bash on Alpine 3.6
Lua	lablup/kernel-lua	5.3	O	O
Node.js	lablup/kernel-nodejs	6.11	O	O
Octave	lablup/kernel-octave	4.2	O	O
Python	lablup/kernel-python	2.7	O	O	O		temporarily unsupported
Python	lablup/kernel-python	3.6	O	O*	O
Rust	lablup/kernel-rust	1.17	O	O
PHP	lablup/kernel-php	7.1	O	O
R	lablup/kernel-r	3.3	O	O			CRAN R

Deep-Learning Framework	Image Name	Version	Batch	Query	Input Hook	TTY	Runtime Impl.
TensorFlow	lablup/kernel-python-tensorflow	1.8-1.3	O	O*	O		Bundled w/Keras 2
PyTorch	lablup/kernel-python-torch	2.0-0.2	O	O*	O
Theano	lablup/kernel-python-theano	1.0	O	O*	O		Bundled w/Keras 2
CNTK	lablup/kernel-python-cntk	(WIP)	O	O*	O		Bundled w/Keras 2

Languages (to be ready soon)

• Swift (via Swift opensource version)

Working

• Multi-file support (is already supported via CLI, but not in JavaScript SDK yet.)
• Virtual Folder mount / navigation (is already supported via CLI, but not in JavaScript SDK yet.)

Troubleshooting

1. My language is not recognized

• Make sure that language name of your code is correctly recognized by ATOM. You can see the grammar of current editor at the right side of bottom bar. If your language is not supported by ATOM, please install language support packages. For instance, install language-r package to add R language support.