| Name | ipycanvas JSON |
| Version |
0.13.2
JSON |
| download |
| home_page | None |
| Summary | Interactive widgets library exposing the browser's Canvas API |
| upload_time | 2024-04-25 11:43:07 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | None |
| license | Copyright (c) 2019 Martin Renou All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| keywords |
ipython
jupyter
widgets
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
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No Travis.
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| coveralls test coverage |
No coveralls.
|
<p align="center"><img width="300" src="https://raw.githubusercontent.com/jupyter-widgets-contrib/ipycanvas/master/docs/images/ipycanvas_logo.svg"></p>
<h1 align="center">ipycanvas</h1>
<h2 align="center"> Interactive Canvas in Jupyter </h1>
[](https://ipycanvas.readthedocs.io/en/latest/?badge=latest)
[](https://mybinder.org/v2/gh/jupyter-widgets-contrib/ipycanvas/stable?urlpath=lab%2Ftree%2Fexamples)
[](https://ipycanvas.readthedocs.io/en/latest/lite/lab)
[](https://pepy.tech/project/ipycanvas)
[](https://gitter.im/jupyter-widgets-contrib/ipycanvas?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
ipycanvas is a lightweight, fast and stable library exposing the [browser's Canvas API](https://developer.mozilla.org/en-US/docs/Web/API/Canvas_API) to IPython.
It allows you to draw simple primitives directly from Python like text, lines, polygons, arcs, images etc. This simple toolset allows you to draw literally anything!
## Try it online!
You can try it online by clicking on this badge:
[](https://mybinder.org/v2/gh/jupyter-widgets-contrib/ipycanvas/stable?urlpath=lab%2Ftree%2Fexamples)
## Documentation
You can read the documentation following this link: https://ipycanvas.readthedocs.io
## Questions?
If you have any question, or if you want to share what you do with ipycanvas, [start a new discussion on Github](https://github.com/jupyter-widgets-contrib/ipycanvas/discussions/new)!
Or join the gitter channel: [](https://gitter.im/jupyter-widgets-contrib/ipycanvas?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
## Installation
You can install using `pip`:
```bash
pip install ipycanvas orjson
```
Or using `conda`:
```bash
conda install -c conda-forge ipycanvas
```
And if you use jupyterlab <= 2:
```bash
conda install -c conda-forge yarn
jupyter labextension install @jupyter-widgets/jupyterlab-manager ipycanvas
```
A development installation guide, can be found [here](https://ipycanvas.readthedocs.io/en/latest/installation.html#development-installation)
## Examples
### Create John Conway's Game Of Life
### Give a "hand-drawn" style to your drawings using the RoughCanvas
### Draw Particles from IPython
### Custom Sprites
### Draw data directly from a NumPy array
### Create your own plotting library **fully** in Python
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"description": "<p align=\"center\"><img width=\"300\" src=\"https://raw.githubusercontent.com/jupyter-widgets-contrib/ipycanvas/master/docs/images/ipycanvas_logo.svg\"></p>\n<h1 align=\"center\">ipycanvas</h1>\n<h2 align=\"center\"> Interactive Canvas in Jupyter </h1>\n\n[](https://ipycanvas.readthedocs.io/en/latest/?badge=latest)\n[](https://mybinder.org/v2/gh/jupyter-widgets-contrib/ipycanvas/stable?urlpath=lab%2Ftree%2Fexamples)\n[](https://ipycanvas.readthedocs.io/en/latest/lite/lab)\n[](https://pepy.tech/project/ipycanvas)\n[](https://gitter.im/jupyter-widgets-contrib/ipycanvas?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n\nipycanvas is a lightweight, fast and stable library exposing the [browser's Canvas API](https://developer.mozilla.org/en-US/docs/Web/API/Canvas_API) to IPython.\nIt allows you to draw simple primitives directly from Python like text, lines, polygons, arcs, images etc. This simple toolset allows you to draw literally anything!\n\n## Try it online!\n\nYou can try it online by clicking on this badge:\n\n[](https://mybinder.org/v2/gh/jupyter-widgets-contrib/ipycanvas/stable?urlpath=lab%2Ftree%2Fexamples)\n\n## Documentation\n\nYou can read the documentation following this link: https://ipycanvas.readthedocs.io\n\n## Questions?\n\nIf you have any question, or if you want to share what you do with ipycanvas, [start a new discussion on Github](https://github.com/jupyter-widgets-contrib/ipycanvas/discussions/new)!\n\nOr join the gitter channel: [](https://gitter.im/jupyter-widgets-contrib/ipycanvas?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n\n## Installation\n\nYou can install using `pip`:\n\n```bash\npip install ipycanvas orjson\n```\n\nOr using `conda`:\n\n```bash\nconda install -c conda-forge ipycanvas\n```\n\nAnd if you use jupyterlab <= 2:\n\n```bash\nconda install -c conda-forge yarn\njupyter labextension install @jupyter-widgets/jupyterlab-manager ipycanvas\n```\n\nA development installation guide, can be found [here](https://ipycanvas.readthedocs.io/en/latest/installation.html#development-installation)\n\n## Examples\n\n### Create John Conway's Game Of Life\n\n\n\n### Give a \"hand-drawn\" style to your drawings using the RoughCanvas\n\n\n\n### Draw Particles from IPython\n\n\n\n### Custom Sprites\n\n\n\n### Draw data directly from a NumPy array\n\n\n\n### Create your own plotting library **fully** in Python\n\n\n",
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