Deno for Python

The easiest way to install and use Deno — the modern JavaScript and TypeScript runtime — in your Python projects.

What is Deno?

Deno is a secure runtime for JavaScript and TypeScript that's built on V8, Rust, and Tokio. It features:

• 🔒 Secure by default - No file, network, or environment access unless explicitly enabled
• 🚀 TypeScript support - Built-in TypeScript compiler, no configuration needed
• 📦 Modern module system - Native ES modules with URL imports
• 🛠️ Built-in tooling - Includes formatter, linter, test runner, bundler, and more
• 🌐 Web standard APIs - Compatible with browser APIs like fetch, WebSocket, and Web Workers
• ⚡ High performance - V8 engine with Rust-powered I/O

Installation

Using pip

pip install deno

Using uv (recommended)

uv add deno

Using poetry

poetry add deno

Usage

Command Line

Run Deno directly using uvx or pipx:

# Check version
uvx deno --version

# Run a script
uvx deno run https://examples.deno.land/hello-world.ts

# Start a REPL
uvx deno

With pipx:

pipx run deno --version

After installing with pip, the deno command is available in your PATH:

deno run --allow-net server.ts

Python API

Use the Python API to integrate Deno into your Python applications:

import deno
import subprocess

# Get the path to the Deno executable
deno_bin = deno.find_deno_bin()

# Run a Deno script from Python
result = subprocess.run(
    [deno_bin, "run", "--allow-net", "script.ts"],
    capture_output=True,
    text=True
)

print(result.stdout)

Example: Running TypeScript from Python

import deno
import subprocess
import tempfile
import os

# Create a temporary TypeScript file
ts_code = """
console.log("Hello from Deno!");
const data = { message: "TypeScript works!" };
console.log(JSON.stringify(data));
"""

with tempfile.NamedTemporaryFile(mode='w', suffix='.ts', delete=False) as f:
    f.write(ts_code)
    ts_file = f.name

try:
    # Execute with Deno
    result = subprocess.run(
        [deno.find_deno_bin(), "run", ts_file],
        capture_output=True,
        text=True
    )
    print(result.stdout)
finally:
    os.unlink(ts_file)

Platform Support

This package provides official Deno binaries for:

The appropriate binary for your platform is automatically downloaded and installed.

Common Use Cases

Running Deno Scripts in Python Projects

Integrate JavaScript/TypeScript functionality into your Python applications:

import deno
import subprocess

def run_deno_script(script_path: str, *args):
    """Execute a Deno script with arguments."""
    result = subprocess.run(
        [deno.find_deno_bin(), "run", "--allow-all", script_path, *args],
        capture_output=True,
        text=True
    )
    return result.stdout

output = run_deno_script("./scripts/process-data.ts", "input.json")

Using Deno as a Task Runner

Add Deno scripts to your Python project for tasks like:

• Frontend asset building
• API mocking
• Data processing with TypeScript
• Testing web APIs

CI/CD Integration

Install Deno in your CI/CD pipelines:

# GitHub Actions example
- name: Install Deno via pip
  run: pip install deno

- name: Run Deno tests
  run: deno test --allow-all

Why Use deno via PyPI?

• ✅ Easy integration - Install Deno alongside Python dependencies
• ✅ Version pinning - Lock Deno versions in requirements.txt or pyproject.toml
• ✅ No manual downloads - Automatic binary management
• ✅ Cross-platform - Works seamlessly across development and production environments
• ✅ Python API - Programmatic access to Deno from Python code

Version Compatibility

The version of this package corresponds to the Deno version it distributes. For example:

• deno==2.1.0 includes Deno v2.1.0
• deno==2.0.0 includes Deno v2.0.0

Check the Deno releases for version details.

Resources

• 📚 Deno Documentation
• 🌐 Deno Website
• 💬 Deno Discord
• 📦 PyPI Package
• 🐙 GitHub Repository
• 🦕 Deno on GitHub

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT

This repository redistributes official Deno binaries under the MIT license to make them easily installable via pip, uv, poetry, and other Python package managers.