Apache License 2.0

项目介绍

timkpaine/lantern 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 Apache License 2.0 许可证,目前获得 350 个 Star、20 次 Fork。

仓库全名
timkpaine/lantern
开源许可证
Apache License 2.0
Star 数
350
Fork 数
20
未关闭 Issue
2

README 摘要

An orchestration layer for plots and tables, dummy datasets, widgets, research, reports, and anything else a data scientist might need. Note: Lantern Live has moved to tributary Note: Email reports have moved to jupyterlabemail Note: Publish is removed in favor of Voila Note: Export code has has moved to jupyterlabcommands and jupyterlabnbconvertnocode About This library is designed to fill gaps between other…

完整内容见 GitHub 原始 README 或本页 。

常见问题

lantern 用什么语言开发?

主要使用 Python 编写,采用 Apache License 2.0 许可证,目前有 350 个 Star。

lantern 可以免费商用吗?

仓库采用 Apache License 2.0 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 lantern 的源码?

可以直接克隆仓库:git clone https://github.com/timkpaine/lantern.git,默认分支为 main;安装与运行步骤见仓库 README。

lantern 最近还在维护吗?

仓库最近一次更新为 7月20日,当前有 2 个未关闭 Issue;Star 数为 350,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

Data exploration glue

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

语言占比

HTML
JavaScript
Jupyter Notebook
Makefile
Python
Shell

Release

README

An orchestration layer for plots and tables, dummy datasets, widgets, research, reports, and anything else a data scientist might need.

Build Status GitHub issues codecov PyPI PyPI

Note: Lantern Live has moved to tributary

Note: Email reports have moved to jupyterlab_email

Note: Publish is removed in favor of Voila

Note: Export code has has moved to jupyterlab_commands and jupyterlab_nbconvert_nocode

About

This library is designed to fill gaps between other libraries with the JupyterLab ecosystem. The motivation was initially to allow for plots generated with a javascript library (like plotly or bokeh) to trivially swap out for matplotlib in non-browser contexts such as NBConvert generation of PDFs.

It has expanded to include a variety of functions, including grids, emailing notebooks, publishing notebooks, custom nbconvert exporters for JupyterLab, variable inpection, custom streaming operations, and other helpful functions and widgets. As these functionalities mature, or as competeting libraries emerge, they are cut out into their own standalone libraries or removed from Lantern, respectively.

This library has produced or ceded functionality to:

Install

To install the base package from pip:

pip install pylantern

To Install from source:

make install

Lantern relies on JupyterLab extensions:

jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install plotlywidget
jupyter labextension install @jupyterlab/plotly-extension
jupyter labextension install jupyterlab_bokeh
jupyter labextension install qgrid
jupyter labextension install @finos/perspective-jupyterlab
jupyter labextension install ipysheet
jupyter labextension install lineup_widget

The following are for work in-progress on main:

jupyter labextension install bqplot

Data

Plots

Grids

Export Without Code:

Note: this has moved to jupyterlab_commands

Widget Tools

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