live-code-runner

Run program code via Backend.AI cloud service (https://cloud.backend.ai) or Backend.AI on-premise server.
lablup
5.3.0 4,525
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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!

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.
  1. 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.