# dify-sandbox-py

**Repository Path**: mstitop/dify-sandbox-py

## Basic Information

- **Project Name**: dify-sandbox-py
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-07-07
- **Last Updated**: 2025-07-07

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# DIFY-SANDBOX-PY
[English](README.md) | [中文](README_CN.md)

A code executor for Dify that is compatible with the official sandbox API calls and dependency installation.
- Supports Python 3.12
- Supports Node.js 20

## Purpose
While the official sandbox has many permission settings and is a better sandboxing solution, in personal use cases where Dify's code nodes are entirely self-edited, there's no risk of code injection. This project aims to provide broader permissions and support for more dependencies (like numpy>2.0, matplotlib, scikit-learn) to reduce confusing error messages. This code was developed by referencing the official sandbox's API call examples.

## Usage
In the official docker-compose.yaml, locate the sandbox image section and replace it with:
```
  sandbox:
    # image: langgenius/dify-sandbox:0.2.10
    image: svcvit/dify-sandbox-py:0.1.4
```

If you prefer to build the image yourself, you can clone this repository and run:
```
docker build -t dify-sandbox-py:local .
```
Then modify the sandbox image in `docker-compose.yaml` to use `dify-sandbox-py:local`

## Screenshots
Python support
![](/images/Xnip2024-11-25_11-30-12.jpg)
Node.js support
![](/images/Xnip2024-11-25_11-31-01.jpg)
Docker container logs
![](/images/Xnip2025-04-28_16-48-48.jpg)


## Notes
- Network access restrictions have been removed; network access is enabled by default
- Using UV as the dependency manager for faster package installation, allowing millisecond-level dependency installation on restart
- Third-party dependencies can be installed following the official method: simply add required dependencies to `/docker/volumes/sandbox/dependencies/python-requirements.txt` and restart the sandbox
- The image only contains FastAPI-related dependencies. Any additional dependencies you need must be manually added to python-requirements.txt