Jupyter笔记本的内存监控工具
Project description
Jupyter Memory Monitor
一个简单的Jupyter笔记本内存监控工具,可以实时显示每个单元格执行后的内存使用情况。
功能特点
- 实时监控内存使用情况
- 自动显示每个单元格执行后的内存占用
- 显示系统总内存使用率
- 轻量级,无需额外配置
安装
pip install jupyter-memory-monitor
快速开始
在Jupyter笔记本中导入并初始化:
import jupyter_memory_monitor
jupyter_memory_monitor.init()
初始化后,每次执行单元格都会在输出区域看到类似下面的信息:
内存使用情况: 当前使用: 256.45 MB 使用率: 12.3%
依赖要求
- Python >= 3.6
- IPython >= 7.0.0
- psutil >= 5.0.0
许可证
本项目采用 MIT 许可证
贡献指南
欢迎提交 Issue 和 Pull Request!
更新日志
0.1.0
- 首次发布
- 实现基本的内存监控功能
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
yjxj_jupyter-0.1.0.tar.gz
(2.6 kB
view details)
Built Distribution
File details
Details for the file yjxj_jupyter-0.1.0.tar.gz
.
File metadata
- Download URL: yjxj_jupyter-0.1.0.tar.gz
- Upload date:
- Size: 2.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fbd61b4e5b5bf80f6bbfaaea5b8e1925f6aba816ca6dd19e9faabb4937819f55 |
|
MD5 | 9778f609ccc0837a707c44f29693451c |
|
BLAKE2b-256 | 509e2b3b3f317d5f05d94bf9833b39a5e0660348ed54b7e2107e4c0d93a92b59 |
File details
Details for the file yjxj_jupyter-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: yjxj_jupyter-0.1.0-py3-none-any.whl
- Upload date:
- Size: 2.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | cd6818af9683c44d8cbb540a9495d91472be63619abda720377338d59d829616 |
|
MD5 | 7076779d2c0ebe3113c46890b9403301 |
|
BLAKE2b-256 | 87e4154bc27e159d2b0ce0eb896d458da4f01b01345a89947973d727c5d9ebd5 |