bqplot/bqplot 源码下载与部署教程

项目概述

Plotting library for IPython/Jupyter notebooks

项目地址

https://github.com/bqplot/bqplot

项目页面预览

关键指标

• Stars：3682
• 主要语言：TypeScript
• License：Apache License 2.0
• 最近更新：2026-01-14T15:51:49Z
• 默认分支：master

本站高速下载（国内可用）

点击下载（本站镜像）
– SHA256：e8d92903ef2b7ce0da0083f7bfd69d146d61f77fcaf77698a6457bf15874e7a3

安装部署要点（README 精选）

Installation

Using pip:

$ pip install bqplot

Using conda

$ conda install -c conda-forge bqplot

If you are using JupyterLab <=2:

$ jupyter labextension install @jupyter-widgets/jupyterlab-manager bqplot

Development installation

For a development installation (requires JupyterLab (version >= 4) and yarn):

$ git clone https://github.com/bqplot/bqplot.git
$ cd bqplot
$ pip install -e .

If you’re using Jupyter Notebook < 7, you may need to run the following to enable the nbextension:

$ jupyter nbextension install --py --overwrite --symlink --sys-prefix bqplot
$ jupyter nbextension enable --py --sys-prefix bqplot

Note for developers: the --symlink argument on Linux or OS X allows one to
modify the JavaScript code in-place. This feature is not available
with Windows.

For the experimental JupyterLab extension, install the Python package, make sure the Jupyter widgets extension is installed, and install the bqplot extension:

$ pip install "ipywidgets>=7.6"
$ jupyter labextension develop . --overwrite

Whenever you make a change of the JavaScript code, you will need to rebuild:

cd js
jlpm run build

Then refreshing the JupyterLab/Jupyter Notebook is enough to reload the changes.

Running tests

You can install the dependencies necessary to run the tests with:

    conda env update -f test-environment.yml

And run it with for Python tests:

    pytest

And cd js to run the JS tests with:

jlpm run test

Every time you make a change on your tests it’s necessary to rebuild the JS side:

jlpm run build

Install a previous bqplot version (Only for JupyterLab <= 2)

In order to install a previous bqplot version, you need to know which front-end version (JavaScript) matches with the back-end version (Python).

For example, in order to install bqplot 0.11.9, you need the labextension version 0.4.9.

$ pip install bqplot==0.11.9
$ jupyter labextension install bqplot@0.4.9

Versions lookup table:

back-end (Python)	front-end (JavaScript)
0.12.14	0.5.14
0.12.13	0.5.13
0.12.12	0.5.12
0.12.11	0.5.11
0.12.10	0.5.10
0.12.9	0.5.9
0.12.8	0.5.8
0.12.7	0.5.7
0.12.6	0.5.6
0.12.4	0.5.4
0.12.3	0.5.3
0.12.2	0.5.2
0.12.1	0.5.1
0.12.0	0.5.0
0.11.9	0.4.9
0.11.8	0.4.8
0.11.7	0.4.7
0.11.6	0.4.6
0.11.5	0.4.5
0.11.4	0.4.5
0.11.3	0.4.4
0.11.2	0.4.3
0.11.1	0.4.1
0.11.0	0.4.0

常用命令（从 README 提取）

$ pip install bqplot

$ conda install -c conda-forge bqplot

$ jupyter labextension install @jupyter-widgets/jupyterlab-manager bqplot

通用部署说明

1. 下载源码并阅读 README
2. 安装依赖（pip/npm/yarn 等）
3. 配置环境变量（API Key、模型路径、数据库等）
4. 启动服务并测试访问
5. 上线建议：Nginx 反代 + HTTPS + 进程守护（systemd / pm2）

免责声明与版权说明

本文仅做开源项目整理与教程索引，源码版权归原作者所有，请遵循对应 License 合规使用。