JavaScript to Python Translator & JavaScript interpreter written in 100% pure Python🚀

Overview

Build Status Downloads

Pure Python JavaScript Translator/Interpreter

Everything is done in 100% pure Python so it's extremely easy to install and use. Supports Python 2 & 3. Full support for ECMAScript 5.1, ECMA 6 support is still experimental.


Simple Example:

>> add = js2py.eval_js('function add(a, b) {return a + b}') >>> add(1, 2) + 3 6 >>> add.constructor function Function() { [python code] } >>> js2py.require('underscore') 'function _(obj) { [python code] }'">
    >>> import js2py
    >>> js2py.eval_js('console.log( "Hello World!" )')
    'Hello World!'
    >>> add = js2py.eval_js('function add(a, b) {return a + b}')
    >>> add(1, 2) + 3
    6
    >>> add.constructor
    function Function() { [python code] }
    >>> js2py.require('underscore')
    'function _(obj) { [python code] }'

You can also import a big number of node modules as if they were written in Python! For example, here we import a pure JS library crypto-js:

    >>> CryptoJS = js2py.require('crypto-js')
    >>> data = [{'id': 1}, {'id': 2}]
    >>> JSON = js2py.eval_js('JSON')
    >>> ciphertext = CryptoJS.AES.encrypt(JSON.stringify(data), 'secret key 123')
    >>> bytes  = CryptoJS.AES.decrypt(ciphertext.toString(), 'secret key 123')
    >>> decryptedData = JSON.parse(bytes.toString(CryptoJS.enc.Utf8)).to_list()
    >>> decryptedData
    [{u'id': 1}, {u'id': 2}]

Now also supports JavaScript 6 (still experimental):

    >>> js2py.eval_js6('let a = () => 11; a()')
    11

JavaScript 6 support was achieved by using Js2Py to translate javascript library called Babel. Babel translates JS 6 to JS 5 and afterwards Js2Py translates JS 5 to Python. The only downside is that translated babel.js has about 4 MB and importing such a long Python file takes about 15 seconds!


Translating a JavaScript file:

    # this will translate example.js to example.py
    >>> js2py.translate_file('example.js', 'example.py')
    # example.py can be now imported and used!
    >>> from example import example
    >>> example.someFunction()
    ...

Every feature of ECMA 5.1 is implemented (except of 'with' statement):

>>> js2py.eval_js("Object.prototype.toString.call(Function('s', 'return s+arguments[1]')(new Date(), 7).__proto__)")
[object String]

Unfortunately even though Js2Py can be generally used to translate huge Js files (over 50k lines long), in rare cases you may encounter some unexpected problems (like javascript calling a function with 300 arguments - python allows only 255). These problems are very hard to fix with current translation approach. I will try to implement an interpreter in near future which will hopefully fix all the edge cases.

Installation

pip install js2py

More advanced usage example

It is possible to access all the variables from JS scope using EvalJs. Moreover, you can use Python objects from your JavaScript code if you add them to the scope. In this example we will be using Python built-in sum function to sum elements in JS array. It will stand under python_sum.

# Adding Python built-in sum to the JS context:
>>> context = js2py.EvalJs({'python_sum': sum})  
>>> js_code = '''
var a = 10
function f(x) {return x*x}
'''
>>> context.execute(js_code)
# Get value of variable a:
>>> context.a
10
# context.f behaves just like js function so you can supply more than 1 argument. '9'*'9' in javascript is 81.
>>> context.f('9', 0)  
81    
# context.f has all attributes of normal JavaScript object
>>> context.f.toString()
u'function f(x) { [python code] }'
>>> context.f.bind
function bind(thisArg) { [python code] }
# You can also add variables to the context:
>>> context.foo = [1,2,3]  # context.foo is now Js Array object and behaves just like javascript array!
>>> context.foo.push(4)  
4
>>> context.foo.to_list() # convert to python list
[1, 2, 3, 4]
# You can use Python objects that you put inside the context!
>>> context.eval('python_sum(new Array(1, 2, 3))')
6

You can also enable require support in JavaScript like this:

>>> context = js2py.EvalJs(enable_require=True)
>>> context.eval("require('esprima').parse('var a = 1')")

JavaScript 'VirtualMachine' in Python

As a fun experimental project I have also implemented a VM-based JavaScript (yes - there are 2 separate JS implementations in this repo). It is feature complete and faster than the translation based version. Below you can see a demo with a nice debug view (bytecode + execution sequence):

>>> from js2py.internals import seval
>>> seval.eval_js_vm("try {throw 3+3} catch (e) {console.log(e)}", debug=True)
[LOAD_UNDEFINED(),
 JUMP(4,),
 LABEL(1,),
 LOAD_UNDEFINED(),
 POP(),
 LOAD_NUMBER(3.0,),
 LOAD_NUMBER(3.0,),
 BINARY_OP('+',),
 THROW(),
 NOP(),
 LABEL(2,),
 LOAD_UNDEFINED(),
 POP(),
 LOAD('console',),
 LOAD('e',),
 LOAD_N_TUPLE(1,),
 CALL_METHOD_DOT('log',),
 NOP(),
 LABEL(3,),
 LOAD_UNDEFINED(),
 NOP(),
 LABEL(4,),
 TRY_CATCH_FINALLY(1, 2, 'e', 3, False, 4)]

0 LOAD_UNDEFINED()
1 JUMP(4,)
18 TRY_CATCH_FINALLY(1, 2, 'e', 3, False, 4)
  ctx entry (from:2, to:9)
  2 LOAD_UNDEFINED()
  3 POP()
  4 LOAD_NUMBER(3.0,)
  5 LOAD_NUMBER(3.0,)
  6 BINARY_OP('+',)
  7 THROW()
  ctx exit (js errors)
  ctx entry (from:9, to:16)
  9 LOAD_UNDEFINED()
  10 POP()
  11 LOAD('console',)
  12 LOAD('e',)
  13 LOAD_N_TUPLE(1,)
  14 CALL_METHOD_DOT('log',)
6
  15 NOP()
  ctx exit (normal)

This is just a curiosity and I do not recommend using VM in practice (requires more polishing).


Limitations

There are 3 main limitations:

  • "strict mode" is ignored
  • with statement is not supported
  • Indirect call to eval is treated as direct call to eval (hence always evals in local scope)

They are generally not a big issue in practice. In practice more problematic are minor edge cases that unfortunately sometimes do happen. Please report a bug if you find one.

Js2Py was able to successfully translate and run huge JS libraries like Babel (100k+ loc), esprima, crypto-js and more. You can try it yourself by importing any supported npm package via js2py.require('your_package').


Other Examples

In Js2Py all JavaScript objects are a subclass of PyJs object. For example JS Number is represented by PyJsNumber class. js2py.eval_js and js2py.EvalJs automatically tries to convert PyJs type to builtin python type. So for example if you execute:

>>> js2py.eval_js('var a = "hello"; a')

eval_js will return unicode type (u"hello"). However for complex types such conversion is impossible and JsObjectWrapper is returned. See the conversion table JsType -> PyType:

Boolean -> bool
String -> unicode (str in Python 3)
Number -> float (or int/long if whole number)
undefined -> None
null -> None
OTHER -> JsObjectWrapper

JsObjectWrapper supports: getitem, getattr, setitem, setattr, repr and call. Moreover it has to_list and to_dict methods if you want to convert it to builtin python type.

>>> js = js2py.eval_js('d = {a:1, b:2}')
>>> js
{a: 1, b: 2}  
>>> type(js)
<class 'js2py.base.JsObjectWrapper'>
>>> js.a
1
>>> js['a']
1
>>> js.b = 20
>>> js
{a: 1, b: 20}  
>>> js['c'] = 30
>>> js.to_dict()
{u'a': 1, 'c': 30, u'b': 20}

Also, of course you can use Js2Py to parse (tree is the same as in esprima.js) and translate JavaScript

Parsing:

>>> js2py.parse_js('var $ = 5')   
{
    "body": [
        {
            "declarations": [
                {
                    "id": {
                        "name": "$",
                        "type": "Identifier"
                    },
                    "init": {
                        "raw": "5",
                        "type": "Literal",
                        "value": 5
                    },
                    "type": "VariableDeclarator"
                }
            ],
            "kind": "var",
            "type": "VariableDeclaration"
        }
    ],
    "type": "Program"
}

Translating:

>>> print(js2py.translate_js('var $ = 5'))
from js2py.pyjs import *
# setting scope
var = Scope( JS_BUILTINS )
set_global_object(var)

# Code follows:
var.registers(['$'])
var.put('$', Js(5.0))

pyimport statement

Finally, Js2Py also supports importing any Python code from JavaScript using 'pyimport' statement:

>> js2py.eval_js(x) 18211 undefined">
>>> x = """pyimport urllib;
           var result = urllib.urlopen('https://www.google.com/').read();
           console.log(result.length)
        """
>>> js2py.eval_js(x)
18211
undefined
This is discord nitro code generator and checker made with python. This will generate nitro codes and checks if the code is valid or not. If code is valid then it will print the code leaving 2 lines and if not then it will print '*'.

Discord Nitro Generator And Checker ⚙️ Rᴜɴ Oɴ Rᴇᴘʟɪᴛ 🛠️ Lᴀɴɢᴜᴀɢᴇs Aɴᴅ Tᴏᴏʟs If you are taking code from this repository without a fork, then atleast

Vɪɴᴀʏᴀᴋ Pᴀɴᴅᴇʏ 37 Jan 07, 2023
Python bytecode manipulation and import process customization to do evil stuff with format strings. Nasty!

formathack Python bytecode manipulation and import process customization to do evil stuff with format strings. Nasty! This is an answer to a StackOver

Michiel Van den Berghe 5 Jan 18, 2022
Find version automatically based on git tags and commit messages.

GIT-CONVENTIONAL-VERSION Find version automatically based on git tags and commit messages. The tool is very specific in its function, so it is very fl

0 Nov 07, 2021
Greenery - tools for parsing and manipulating regular expressions

Greenery - tools for parsing and manipulating regular expressions

qntm 242 Dec 15, 2022
Create powerful passwords easily and with many options with this program

Password_Generator About the Program: You can create powerful passwords with this program with many options easily! Features: You can copy the generat

Sina.f 0 Jul 14, 2022
Toolkit for collecting and applying templates of prompting instances

PromptSource Toolkit for collecting and applying templates of prompting instances. WIP Setup Download the repo Navigate to root directory of the repo

BigScience Workshop 1k Jan 05, 2023
A simple tool to extract python code from a Jupyter notebook, and then run pylint on it for static analysis.

Jupyter Pylinter A simple tool to extract python code from a Jupyter notebook, and then run pylint on it for static analysis. If you find this tool us

Edmund Goodman 10 Oct 13, 2022
✨ Un générateur d'adresse IP aléatoire totalement fait en Python par moi, et en français.

IP Generateur ❗ Un générateur d'adresse IP aléatoire totalement fait en Python par moi, et en français. 🔮 Avec l'utilisation du module "random", j'ai

MrGabin 3 Jun 06, 2021
Compute the fair market value (FMV) of staking rewards at time of receipt.

tendermint-tax A tool to help calculate the tax liability of staking rewards on Tendermint chains. Specifically, this tool calculates the fair market

5 Jan 07, 2022
Script to rename and resize folders of images

script to rename and resize folders of images

Tega Brain 2 Oct 29, 2021
Backup a folder to an another folder by using mirror update method.

Mirror Update Backup Backup a folder to an another folder by using mirror update method. How to use Install requirement pip install -r requirements.tx

1 Nov 21, 2022
Grank is a feature-rich script that automatically grinds Dank Memer for you

Grank Inspired by this repository. This is a WIP and there will be more functions added in the future. What is Grank? Grank is a feature-rich script t

42 Jul 20, 2022
A python script to generate wallpaper

wallpaper eits Warning You need to set the path to Robot Mono font in the source code. (Settings are in the main function) Usage A script that given a

Henrique Tsuyoshi Yara 5 Dec 02, 2021
Simple script to export contacts from telegram into vCard file

Telegram Contacts Exporter Simple script to export contacts from telegram into vCard file Getting Started Prerequisites You must to put your Telegram

Pere Antoni 1 Oct 17, 2021
Set of scripts for some automation during Magic Lantern development

~kitor Magic Lantern scripts A few automation scripts I wrote to automate some things in my ML development efforts. Used only on Debian running over W

Kajetan Krykwiński 1 Jan 03, 2022
Simple collection of GTPS Flood in Python.

GTPS Flood Simple collection of GTPS Flood in Python. NOTE Give me credit if you use this source, don't trade/sell this tool, And USE AT YOUR OWN RISK

PhynX 6 Dec 07, 2021
A repository containing several general purpose Python scripts to automate daily and common tasks.

General Purpose Scripts Introduction This repository holds a curated list of Python scripts which aim to help us automate daily and common tasks. You

GDSC RCCIIT 46 Dec 25, 2022
Pyfunctools is a module that provides functions, methods and classes that help in the creation of projects in python

Pyfunctools Pyfunctools is a module that provides functions, methods and classes that help in the creation of projects in python, bringing functional

Natanael dos Santos Feitosa 5 Dec 22, 2022
Software to help automate collecting crowdsourced annotations using Mechanical Turk.

Video Crowdsourcing Software to help automate collecting crowdsourced annotations using Mechanical Turk. The goal of this project is to enable crowdso

Mike Peven 1 Oct 25, 2021
Script to autocompound 3commas BO:SO based on user provided risk factor

3commas_compounder Script to autocompound 3commas BO:SO based on user provided risk factor Setup Step 1 git clone this repo into your working director

0 Feb 24, 2022