python-executor

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Python Code Executor

Python代码执行器

Execute Python code in a safe, sandboxed environment with 100+ pre-installed libraries.

在预装了100+个库的安全沙箱环境中执行Python代码。

Quick Start

快速开始

bash

curl -fsSL https://cli.inference.sh | sh && infsh login

bash

curl -fsSL https://cli.inference.sh | sh && infsh login

Run Python code

infsh app run infsh/python-executor --input '{ "code": "import pandas as pd\nprint(pd.version)" }'

undefined

infsh app run infsh/python-executor --input '{ "code": "import pandas as pd\nprint(pd.version)" }'

undefined

App Details

应用详情

Property	Value
App ID	`infsh/python-executor`
Environment	Python 3.10, CPU-only
RAM	8GB (default) / 16GB (high_memory)
Timeout	1-300 seconds (default: 30)

属性	值
应用ID	`infsh/python-executor`
运行环境	Python 3.10，仅CPU
内存	8GB（默认）/ 16GB（high_memory）
超时时间	1-300秒（默认：30）

Input Schema

输入Schema

json

{
  "code": "print('Hello World!')",
  "timeout": 30,
  "capture_output": true,
  "working_dir": null
}

json

{
  "code": "print('Hello World!')",
  "timeout": 30,
  "capture_output": true,
  "working_dir": null
}

Pre-installed Libraries

预装库

Web Scraping & HTTP

网页爬取与HTTP

```
requests
```
,
```
httpx
```
,
```
aiohttp
```
- HTTP clients
```
beautifulsoup4
```
,
```
lxml
```
- HTML/XML parsing
```
selenium
```
,
```
playwright
```
- Browser automation
```
scrapy
```
- Web scraping framework

```
requests
```
,
```
httpx
```
,
```
aiohttp
```
- HTTP客户端
```
beautifulsoup4
```
,
```
lxml
```
- HTML/XML解析
```
selenium
```
,
```
playwright
```
- 浏览器自动化
```
scrapy
```
- 网页爬取框架

Data Processing

数据处理

```
numpy
```
,
```
pandas
```
,
```
scipy
```
- Numerical computing
```
matplotlib
```
,
```
seaborn
```
,
```
plotly
```
- Visualization

```
numpy
```
,
```
pandas
```
,
```
scipy
```
- 数值计算
```
matplotlib
```
,
```
seaborn
```
,
```
plotly
```
- 数据可视化

Image Processing

图像处理

```
pillow
```
,
```
opencv-python-headless
```
- Image manipulation
```
scikit-image
```
,
```
imageio
```
- Image algorithms

```
pillow
```
,
```
opencv-python-headless
```
- 图像操作
```
scikit-image
```
,
```
imageio
```
- 图像算法

Video & Audio

视频与音频

```
moviepy
```
- Video editing
```
av
```
(PyAV),
```
ffmpeg-python
```
- Video processing
```
pydub
```
- Audio manipulation

```
moviepy
```
- 视频编辑
```
av
```
(PyAV),
```
ffmpeg-python
```
- 视频处理
```
pydub
```
- 音频操作

3D Processing

3D处理

```
trimesh
```
,
```
open3d
```
- 3D mesh processing
```
numpy-stl
```
,
```
meshio
```
,
```
pyvista
```
- 3D file formats

```
trimesh
```
,
```
open3d
```
- 3D网格处理
```
numpy-stl
```
,
```
meshio
```
,
```
pyvista
```
- 3D文件格式

Documents & Graphics

文档与图形

```
svgwrite
```
,
```
cairosvg
```
- SVG creation
```
reportlab
```
,
```
pypdf2
```
- PDF generation

```
svgwrite
```
,
```
cairosvg
```
- SVG创建
```
reportlab
```
,
```
pypdf2
```
- PDF生成

Examples

示例

Web Scraping

网页爬取

bash

infsh app run infsh/python-executor --input '{
  "code": "import requests\nfrom bs4 import BeautifulSoup\n\nresponse = requests.get(\"https://example.com\")\nsoup = BeautifulSoup(response.content, \"html.parser\")\nprint(soup.find(\"title\").text)"
}'

bash

infsh app run infsh/python-executor --input '{
  "code": "import requests\nfrom bs4 import BeautifulSoup\n\nresponse = requests.get(\"https://example.com\")\nsoup = BeautifulSoup(response.content, \"html.parser\")\nprint(soup.find(\"title\").text)"
}'

Data Analysis with Visualization

带可视化的数据分析

bash

infsh app run infsh/python-executor --input '{
  "code": "import pandas as pd\nimport matplotlib.pyplot as plt\n\ndata = {\"name\": [\"Alice\", \"Bob\"], \"sales\": [100, 150]}\ndf = pd.DataFrame(data)\n\nplt.bar(df[\"name\"], df[\"sales\"])\nplt.savefig(\"outputs/chart.png\")\nprint(\"Chart saved!\")"
}'

bash

infsh app run infsh/python-executor --input '{
  "code": "import pandas as pd\nimport matplotlib.pyplot as plt\n\ndata = {\"name\": [\"Alice\", \"Bob\"], \"sales\": [100, 150]}\ndf = pd.DataFrame(data)\n\nplt.bar(df[\"name\"], df[\"sales\"])\nplt.savefig(\"outputs/chart.png\")\nprint(\"Chart saved!\")"
}'

Image Processing

图像处理

bash

infsh app run infsh/python-executor --input '{
  "code": "from PIL import Image\nimport numpy as np\n\n# Create gradient image\narr = np.linspace(0, 255, 256*256, dtype=np.uint8).reshape(256, 256)\nimg = Image.fromarray(arr, mode=\"L\")\nimg.save(\"outputs/gradient.png\")\nprint(\"Image created!\")"
}'

bash

infsh app run infsh/python-executor --input '{
  "code": "from PIL import Image\nimport numpy as np\n\n# Create gradient image\narr = np.linspace(0, 255, 256*256, dtype=np.uint8).reshape(256, 256)\nimg = Image.fromarray(arr, mode=\"L\")\nimg.save(\"outputs/gradient.png\")\nprint(\"Image created!\")"
}'

Video Creation

视频制作

bash

infsh app run infsh/python-executor --input '{
  "code": "from moviepy.editor import ColorClip, TextClip, CompositeVideoClip\n\nclip = ColorClip(size=(640, 480), color=(0, 100, 200), duration=3)\ntxt = TextClip(\"Hello!\", fontsize=70, color=\"white\").set_position(\"center\").set_duration(3)\nvideo = CompositeVideoClip([clip, txt])\nvideo.write_videofile(\"outputs/hello.mp4\", fps=24)\nprint(\"Video created!\")",
  "timeout": 120
}'

bash

infsh app run infsh/python-executor --input '{
  "code": "from moviepy.editor import ColorClip, TextClip, CompositeVideoClip\n\nclip = ColorClip(size=(640, 480), color=(0, 100, 200), duration=3)\ntxt = TextClip(\"Hello!\", fontsize=70, color=\"white\").set_position(\"center\").set_duration(3)\nvideo = CompositeVideoClip([clip, txt])\nvideo.write_videofile(\"outputs/hello.mp4\", fps=24)\nprint(\"Video created!\")",
  "timeout": 120
}'

3D Model Processing

3D模型处理

bash

infsh app run infsh/python-executor --input '{
  "code": "import trimesh\n\nsphere = trimesh.creation.icosphere(subdivisions=3, radius=1.0)\nsphere.export(\"outputs/sphere.stl\")\nprint(f\"Created sphere with {len(sphere.vertices)} vertices\")"
}'

bash

infsh app run infsh/python-executor --input '{
  "code": "import trimesh\n\nsphere = trimesh.creation.icosphere(subdivisions=3, radius=1.0)\nsphere.export(\"outputs/sphere.stl\")\nprint(f\"Created sphere with {len(sphere.vertices)} vertices\")"
}'

API Calls

API调用

bash

infsh app run infsh/python-executor --input '{
  "code": "import requests\nimport json\n\nresponse = requests.get(\"https://api.github.com/users/octocat\")\ndata = response.json()\nprint(json.dumps(data, indent=2))"
}'

bash

infsh app run infsh/python-executor --input '{
  "code": "import requests\nimport json\n\nresponse = requests.get(\"https://api.github.com/users/octocat\")\ndata = response.json()\nprint(json.dumps(data, indent=2))"
}'

File Output

文件输出

Files saved to

outputs/

are automatically returned:

python

undefined

保存到

outputs/

目录的文件会自动返回：

python

undefined

These files will be in the response

plt.savefig('outputs/chart.png') df.to_csv('outputs/data.csv') video.write_videofile('outputs/video.mp4') mesh.export('outputs/model.stl')

undefined

plt.savefig('outputs/chart.png') df.to_csv('outputs/data.csv') video.write_videofile('outputs/video.mp4') mesh.export('outputs/model.stl')

undefined

Variants

变体

bash

undefined

bash

undefined

Default (8GB RAM)

infsh app run infsh/python-executor --input input.json

High memory (16GB RAM) for large datasets

infsh app run infsh/python-executor@high_memory --input input.json

undefined

infsh app run infsh/python-executor@high_memory --input input.json

undefined

Use Cases

适用场景

Web scraping - Extract data from websites
Data analysis - Process and visualize datasets
Image manipulation - Resize, crop, composite images
Video creation - Generate videos with text overlays
3D processing - Load, transform, export 3D models
API integration - Call external APIs
PDF generation - Create reports and documents
Automation - Run any Python script

网页爬取 - 从网站提取数据
数据分析 - 处理并可视化数据集
图像操作 - 调整大小、裁剪、合成图像
视频制作 - 生成带文本叠加层的视频
3D处理 - 加载、转换、导出3D模型
API集成 - 调用外部API
PDF生成 - 创建报告和文档
自动化 - 运行任意Python脚本

Important Notes

重要说明

CPU-only - No GPU/ML libraries (use dedicated AI apps for that)
Safe execution - Runs in isolated subprocess
Non-interactive - Use
```
plt.savefig()
```
not
```
plt.show()
```
File detection - Output files are auto-detected and returned

仅支持CPU - 无GPU/ML库（此类需求请使用专用AI应用）
安全执行 - 在独立子进程中运行
非交互式 - 使用
```
plt.savefig()
```
而非
```
plt.show()
```
文件检测 - 输出文件会被自动检测并返回

Related Skills

AI image generation (for ML-based images)

npx skills add inferencesh/skills@ai-image-generation

AI video generation (for ML-based videos)

npx skills add inferencesh/skills@ai-video-generation

LLM models (for text generation)

npx skills add inferencesh/skills@llm-models

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npx skills add inferencesh/skills@llm-models

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Documentation

文档

Running Apps - How to run apps via CLI
App Code - Understanding app execution
Sandboxed Code Execution - Safe code execution for agents

运行应用 - 如何通过CLI运行应用
应用代码 - 了解应用执行机制
沙箱代码执行 - 面向Agent的安全代码执行

python-executor

Original

Translation

Python Code Executor

Python代码执行器

Quick Start

快速开始

Run Python code

Run Python code

App Details

应用详情

Input Schema

输入Schema

Pre-installed Libraries

预装库

Web Scraping & HTTP

网页爬取与HTTP

Data Processing

数据处理

Image Processing

图像处理

Video & Audio

视频与音频

3D Processing

3D处理

Documents & Graphics

文档与图形

Examples

示例

Web Scraping

网页爬取

Data Analysis with Visualization

带可视化的数据分析

Image Processing

图像处理

Video Creation

视频制作

3D Model Processing

3D模型处理

API Calls

API调用

File Output

文件输出

These files will be in the response

These files will be in the response

Variants

变体

Default (8GB RAM)

Default (8GB RAM)

High memory (16GB RAM) for large datasets

High memory (16GB RAM) for large datasets

Use Cases

适用场景

Important Notes

重要说明

Related Skills

相关技能

AI image generation (for ML-based images)

AI image generation (for ML-based images)

AI video generation (for ML-based videos)

AI video generation (for ML-based videos)

LLM models (for text generation)

LLM models (for text generation)

Documentation

文档