JavaScript to Python Converter
Migrate Node.js backend logic to Python with AI-powered conversion. Automatically transforms JavaScript Promises to asyncio coroutines, Express routes to Flask/FastAPI endpoints, and arrow functions to Python lambdas. Handles ES6+ syntax including destructuring, spread operators, and template literals for seamless backend modernization.
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Issue Description
Hint: Describe what you want to build or paste requirements, select target language, and click Generate.
How It Works
- Step 1: Paste your JavaScript source code including ES6+ features, async/await functions, arrow functions, and module imports/exports.
- Step 2: The AI analyzes JavaScript-specific patterns like Promise chains, callback functions, destructuring assignments, and spread syntax.
- Step 3: Advanced models transform JavaScript async patterns to Python asyncio, convert object destructuring to dictionary unpacking, and map array methods (map/filter/reduce) to list comprehensions.
- Step 4: Download idiomatic Python code with proper async/await syntax, type hints, and framework-appropriate patterns ready for deployment.
JavaScript vs Python: Language Comparison
| Feature | JavaScript | Python |
|---|---|---|
| Syntax Style | C-style braces, semicolons | Indentation-based, no semicolons |
| Type System | Dynamic, weakly typed | Dynamic, strongly typed |
| Async Model | Event loop, Promises, async/await | asyncio, coroutines, futures |
| Concurrency | Single-threaded event loop | Threading, multiprocessing, asyncio |
| Package Management | npm/yarn | pip/poetry/conda |
Code Conversion Examples
Example 1: Async/Await and Promise Handling
async function fetchUserData(userId) {
try {
const response = await fetch('/api/users/' + userId);
const data = await response.json();
return data.filter(user => user.active);
} catch (error) {
console.error('Failed to fetch:', error);
return [];
}
}
// Usage
const users = await fetchUserData(123);
console.log(users.map(u => u.name)); import asyncio
import aiohttp
from typing import List, Dict
async def fetch_user_data(user_id: int) -> List[Dict]:
try:
async with aiohttp.ClientSession() as session:
async with session.get(f'/api/users/{user_id}') as response:
data = await response.json()
return [user for user in data if user['active']]
except Exception as error:
print(f'Failed to fetch: {error}')
return []
# Usage
users = await fetch_user_data(123)
print([u['name'] for u in users]) Key Changes:
JavaScript's fetch API converts to Python's aiohttp for async HTTP requests. The await keyword translates directly, maintaining async/await patterns. Template literals become Python f-strings. Array methods (filter, map) transform to list comprehensions for better performance. Try-catch becomes try-except with Python exception handling.
Example 2: Arrow Functions and Array Methods
const numbers = [1, 2, 3, 4, 5];
const doubled = numbers.map(n => n * 2);
const evens = numbers.filter(n => n % 2 === 0);
const sum = numbers.reduce((acc, n) => acc + n, 0);
const users = [
{ name: 'Alice', age: 30 },
{ name: 'Bob', age: 25 }
];
const names = users
.filter(u => u.age > 26)
.map(u => u.name.toUpperCase()); from functools import reduce
from typing import List, Dict
numbers = [1, 2, 3, 4, 5]
doubled = [n * 2 for n in numbers]
evens = [n for n in numbers if n % 2 == 0]
sum_total = sum(numbers)
users: List[Dict[str, any]] = [
{'name': 'Alice', 'age': 30},
{'name': 'Bob', 'age': 25}
]
names = [
u['name'].upper()
for u in users
if u['age'] > 26
] Key Changes:
JavaScript arrow functions and array methods convert to Python list comprehensions, which are more efficient and Pythonic. The reduce function is replaced with Python's built-in sum() for common aggregations. Method chaining (filter.map) becomes a single list comprehension with conditional logic. Object property access (u.name) changes to dictionary key access (u['name']).
Frequently Asked Questions
Can I customize how JavaScript Promises map to Python asyncio?
The converter generates Python async/await from JavaScript Promises by default. Promise.then() chains become await expressions. Complex Promise.all() or Promise.race() patterns may require manual asyncio.gather() or asyncio.wait() adjustments. The tool prioritizes readable async code over literal Promise semantics.
Is my JavaScript code sent to external servers?
Yes. AI conversion requires server-side LLM processing. Your JavaScript source is transmitted over HTTPS to our API, converted, then discarded. We do not store code or train models on submissions. Review data policies before converting proprietary code.
What JavaScript features cannot be converted?
Browser-specific APIs (DOM manipulation, window, document), JSX/React components, and JavaScript's prototypal inheritance nuances lack direct Python equivalents. Hoisting behavior and var scoping differ fundamentally from Python. The tool excels at algorithmic JavaScript but struggles with frontend-specific code.