Coder Social home page Coder Social logo

lookatme's Introduction

Master Build Status Coverage Status PyPI Statistics Latest Release Documentation Status

Twitter Follow

lookatme

lookatme is an interactive, extensible, terminal-based markdown presentation tool.

TOC

Features

  • Markdown rendering
  • Live (input file modification time watching) and manual reloading
  • Live terminals embedded directly in slides
  • Syntax highlighting using Pygments
  • Loading external files into code blocks
  • Support for contrib extensions
  • Smart slide splitting

Tour

General tour

lookatme_tour

Embedded terminal example

terminal example

Sourcing external files example

file loader example

Navigating the Presentation

Action Keys Notes
Next Slide l j right space
Prev Slide h k left delete backspace
Quit q Q
Terminal Focus Click on the terminal
Exit Terminal ctrl+a and then a slide action
Vertically scroll within slide up/down or page up/page down

CLI Options

Usage: lookatme [OPTIONS] [INPUT_FILES]...

  lookatme - An interactive, terminal-based markdown presentation tool.

  See https://lookatme.readthedocs.io/en/v{{VERSION}} for documentation

Options:
  --debug
  -l, --log PATH
  -t, --theme [dark|light]
  -s, --style [default|emacs|friendly|colorful|autumn|murphy|manni|monokai|perldoc|pastie|borland|trac|native|fruity|bw|vim|vs|tango|rrt|xcode|igor|paraiso-light|paraiso-dark|lovelace|algol|algol_nu|arduino|rainbow_dash|abap|solarized-dark|solarized-light|sas|stata|stata-light|stata-dark|inkpot]
  --dump-styles                   Dump the resolved styles that will be used
                                  with the presentation to stdout

  --live, --live-reload           Watch the input filename for modifications
                                  and automatically reload

  -s, --safe                      Do not load any new extensions specified in
                                  the source markdown. Extensions specified
                                  via env var or -e are still loaded

  --no-ext-warn                   Load new extensions specified in the source
                                  markdown without warning

  -i, --ignore-ext-failure        Ignore load failures of extensions
  -e, --exts TEXT                 A comma-separated list of extension names to
                                  automatically load (LOOKATME_EXTS)

  --single, --one                 Render the source as a single slide
  --version                       Show the version and exit.
  --help                          Show this message and exit.

Known Extensions

Below is a list of known extensions for lookatme:

Extension Name Install Name Notes
qrcode lookatme.contrib.qrcode Renders QR codes from code blocks
image_ueberzug lookatme.contrib.image_ueberzug Renders images with ueberzug (Linux only)
render lookatme.contrib.render Renders supported code blocks (graphviz and mermaid-js) by calling an external program. requires an image-rendering extension

Documentation

See the documentation for details.

lookatme's People

Contributors

corydodt avatar d0c-s4vage avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.