fastplotlib | A fast plotting library

by kushalkolar Jupyter Notebook Version: 0.1.0a9 License: Apache-2.0

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kandi X-RAY | fastplotlib Summary

fastplotlib is a Jupyter Notebook library. fastplotlib has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Installation | GPU Drivers | Examples. A fast plotting library built using the pygfx render engine utilizing Vulkan via WGPU, so it is very fast! fastplotlib is focussed on very fast interactive plotting in the notebook using an expressive API. It also works within desktop applications using glfw or Qt. fastplotlib is currently in the early alpha stage with breaking changes every ~week, but you're welcome to try it out or contribute! See our Roadmap for 2023. The docs are not entirely thorough, we recommend the example notebooks to get started. Questions, ideas? Post an issue or chat on gitter.

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fastplotlib has a low active ecosystem.

It has 160 star(s) with 17 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 54 open issues and 76 have been closed. On average issues are closed in 67 days. There are 8 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of fastplotlib is 0.1.0a9

Quality

fastplotlib has no bugs reported.

Security

fastplotlib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

fastplotlib is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

fastplotlib releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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fastplotlib Key Features

No Key Features are available at this moment for fastplotlib.

fastplotlib Examples and Code Snippets

No Code Snippets are available at this moment for fastplotlib.

Community Discussions

No Community Discussions are available at this moment for fastplotlib.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install fastplotlib

Clone or download the repo to try the examples. Note: fastplotlib and pygfx are fast evolving projects, the version available through pip might be outdated, you will need to follow the "For Development" instructions below if you want the latest features. You can find the release history on pypi here: https://pypi.org/project/fastplotlib/#history.
You will need a GPU that supports Vulkan (integrated GPUs in CPUs are usually fine). Generally if your GPU is from 2017 or later it should support Vulkan. For more information see: https://wgpu-py.readthedocs.io/en/stable/start.html#platform-requirements.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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