---
id: sm-python-executor
name: "python-executor"
url: https://skills.yangsir.net/skill/sm-python-executor
author: inferen-sh
domain: ai-backend-engineering
tags: ["python", "code-execution", "scripting", "backend-services", "automation"]
install_count: 14500
rating: 4.50 (580 reviews)
github: https://github.com/inferen-sh/skills
---

# python-executor

> 专注于后端Python代码执行，通过API为Agent提供运行Python脚本的能力，实现自动化任务和复杂逻辑处理。

**Stats**: 14,500 installs · 4.5/5 (580 reviews)

## Before / After 对比

### 复杂数据处理与分析

## Readme

# python-executor

# Python Code Executor

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

## Quick Start

Requires inference.sh CLI (`infsh`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)

```
infsh login

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

```

## App Details

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)

## Input Schema

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

```

## Pre-installed Libraries

### Web Scraping & HTTP

- `requests`, `httpx`, `aiohttp` - HTTP clients

- `beautifulsoup4`, `lxml` - HTML/XML parsing

- `selenium`, `playwright` - Browser automation

- `scrapy` - Web scraping framework

### Data Processing

- `numpy`, `pandas`, `scipy` - Numerical computing

- `matplotlib`, `seaborn`, `plotly` - Visualization

### Image Processing

- `pillow`, `opencv-python-headless` - Image manipulation

- `scikit-image`, `imageio` - Image algorithms

### Video & Audio

- `moviepy` - Video editing

- `av` (PyAV), `ffmpeg-python` - Video processing

- `pydub` - Audio manipulation

### 3D Processing

- `trimesh`, `open3d` - 3D mesh processing

- `numpy-stl`, `meshio`, `pyvista` - 3D file formats

### Documents & Graphics

- `svgwrite`, `cairosvg` - SVG creation

- `reportlab`, `pypdf2` - PDF generation

## Examples

### Web Scraping

```
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

```
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

```
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

```
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

```
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

```
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

Files saved to `outputs/` are automatically returned:

```
# 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')

```

## Variants

```
# 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

```

## Use Cases

- **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

## Important Notes

- **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

## Related Skills

```
# AI image generation (for ML-based images)
npx skills add inference-sh/skills@ai-image-generation

# AI video generation (for ML-based videos)
npx skills add inference-sh/skills@ai-video-generation

# LLM models (for text generation)
npx skills add inference-sh/skills@llm-models

```

## Documentation

- [Running Apps](https://inference.sh/docs/apps/running) - How to run apps via CLI

- [App Code](https://inference.sh/docs/extend/app-code) - Understanding app execution

- [Sandboxed Code Execution](https://inference.sh/blog/tools/sandboxed-execution) - Safe code execution for agents

Weekly Installs8.6KRepository[inferen-sh/skills](https://github.com/inferen-sh/skills)GitHub Stars159First Seen6 days agoSecurity Audits[Gen Agent Trust HubPass](/inferen-sh/skills/python-executor/security/agent-trust-hub)[SocketPass](/inferen-sh/skills/python-executor/security/socket)[SnykWarn](/inferen-sh/skills/python-executor/security/snyk)Installed onclaude-code6.9Kgemini-cli6.0Kcodex6.0Kamp6.0Kopencode6.0Kkimi-cli6.0K

---
*Source: https://skills.yangsir.net/skill/sm-python-executor*
*Markdown mirror: https://skills.yangsir.net/api/skill/sm-python-executor/markdown*