Skip to main content

Library for building powerful interactive command lines in Python

Project description

Build Status AppVeyor Latest Version RTD License Codecov

https://github.com/prompt-toolkit/python-prompt-toolkit/raw/master/docs/images/logo_400px.png

prompt_toolkit is a library for building powerful interactive command line applications in Python.

Read the documentation on readthedocs.

NOTICE: prompt_toolkit 3.0

Please notice that this branch is the prompt_toolkit 3.0 branch. For most users, it should be compatible with prompt_toolkit 2.0, but it requires at least Python 3.6. On the plus side, prompt_toolkit 3.0 is completely type annotated and uses asyncio natively.

prompt_toolkit features

prompt_toolkit could be a replacement for GNU readline, but it can be much more than that.

Some features:

  • Pure Python.

  • Syntax highlighting of the input while typing. (For instance, with a Pygments lexer.)

  • Multi-line input editing.

  • Advanced code completion.

  • Both Emacs and Vi key bindings. (Similar to readline.)

  • Even some advanced Vi functionality, like named registers and digraphs.

  • Reverse and forward incremental search.

  • Works well with Unicode double width characters. (Chinese input.)

  • Selecting text for copy/paste. (Both Emacs and Vi style.)

  • Support for bracketed paste.

  • Mouse support for cursor positioning and scrolling.

  • Auto suggestions. (Like fish shell.)

  • Multiple input buffers.

  • No global state.

  • Lightweight, the only dependencies are Pygments and wcwidth.

  • Runs on Linux, OS X, FreeBSD, OpenBSD and Windows systems.

  • And much more…

Feel free to create tickets for bugs and feature requests, and create pull requests if you have nice patches that you would like to share with others.

Installation

pip install prompt_toolkit

For Conda, do:

conda install -c https://conda.anaconda.org/conda-forge prompt_toolkit

About Windows support

prompt_toolkit is cross platform, and everything that you build on top should run fine on both Unix and Windows systems. Windows support is best on recent Windows 10 builds, for which the command line window supports vt100 escape sequences. (If not supported, we fall back to using Win32 APIs for color and cursor movements).

It’s worth noting that the implementation is a “best effort of what is possible”. Both Unix and Windows terminals have their limitations. But in general, the Unix experience will still be a little better.

For Windows, it’s recommended to use either cmder or conemu.

Getting started

The most simple example of the library would look like this:

from prompt_toolkit import prompt

if __name__ == '__main__':
    answer = prompt('Give me some input: ')
    print('You said: %s' % answer)

For more complex examples, have a look in the examples directory. All examples are chosen to demonstrate only one thing. Also, don’t be afraid to look at the source code. The implementation of the prompt function could be a good start.

Philosophy

The source code of prompt_toolkit should be readable, concise and efficient. We prefer short functions focusing each on one task and for which the input and output types are clearly specified. We mostly prefer composition over inheritance, because inheritance can result in too much functionality in the same object. We prefer immutable objects where possible (objects don’t change after initialization). Reusability is important. We absolutely refrain from having a changing global state, it should be possible to have multiple independent instances of the same code in the same process. The architecture should be layered: the lower levels operate on primitive operations and data structures giving – when correctly combined – all the possible flexibility; while at the higher level, there should be a simpler API, ready-to-use and sufficient for most use cases. Thinking about algorithms and efficiency is important, but avoid premature optimization.

Projects using prompt_toolkit

Special thanks to

  • Pygments: Syntax highlighter.

  • wcwidth: Determine columns needed for a wide characters.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

prompt_toolkit-3.0.24.tar.gz (3.0 MB view details)

Uploaded Source

Built Distribution

prompt_toolkit-3.0.24-py3-none-any.whl (374.7 kB view details)

Uploaded Python 3

File details

Details for the file prompt_toolkit-3.0.24.tar.gz.

File metadata

  • Download URL: prompt_toolkit-3.0.24.tar.gz
  • Upload date:
  • Size: 3.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.5

File hashes

Hashes for prompt_toolkit-3.0.24.tar.gz
Algorithm Hash digest
SHA256 1bb05628c7d87b645974a1bad3f17612be0c29fa39af9f7688030163f680bad6
MD5 214d36301eb139adba280793040d7755
BLAKE2b-256 15e4f138d6319c02a6052a590ef32e94366b74581973b43665c2960b07b9ec24

See more details on using hashes here.

File details

Details for the file prompt_toolkit-3.0.24-py3-none-any.whl.

File metadata

  • Download URL: prompt_toolkit-3.0.24-py3-none-any.whl
  • Upload date:
  • Size: 374.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.1 CPython/3.9.5

File hashes

Hashes for prompt_toolkit-3.0.24-py3-none-any.whl
Algorithm Hash digest
SHA256 e56f2ff799bacecd3e88165b1e2f5ebf9bcd59e80e06d395fa0cc4b8bd7bb506
MD5 c4d4f329d309b9712539807acb53c64b
BLAKE2b-256 fb374f9ae5a6cd0ebdfc1fbafcfd03e812df1ed92a92bf0bee09441c52164f58

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page