Python compiler that massively increases Python's code performance without code changes.

Overview

alt text

Flyable - A python compiler for highly performant code

Flyable is a Python compiler that generates efficient native code. It uses different techniques and aggressive optimizations to make sure your code runs the way you want: the fastest way possible. It also relies on CPython to make sure that all your favorite libraries are still available and fully functional.

Flyable is licensed under the GNU Affero General Public License v3.0 .

Build

Make sure that you have downloaded the GCC compiler and you have an active CPython installation setup on your machine and follow this tutorial to learn how to compile, link and run a Python script with Flyable. Alternatively, you can read the code in the main.py file to see how we do this.

How does it get faster ?

Flyable does multiple things to generate efficient code but most of the performance gains come from the following:

  • Native execution of the code
  • Static function dispatch (enabling direct call and efficient inlining)
  • Type tracking (When possible)
  • Function specialization depending on the signature but also on the usage

Supported platforms

Flyable only generates code for Windows 64 bits x86 for now. It will quickly be extended to Linux and Mac.

How to use it ?

For now, Flyable is only available as a module that reads a Python file and outputs an object file. To run the output, the object file must be linked with any python39.lib file available in your Python installation. To run a Flyable made executable, it is required to have an active CPython installation setup on the machine.

Flyable is still in an early stage. We do not recommend full-scale usage at the moment.

Plan

Our current efforts are primarily focused on stabilizing the compiler to support most Python syntax and optimize the most common Python use cases.

Contributions

If you wish to, you can participate in this project in many ways:

Feel free to contact us at [email protected] if you have any other concerns.

Owner
Flyable
Redefining the development of high-performance programs for Python developers !
Flyable
PerfSpect is a system performance characterization tool based on linux perf targeting Intel microarchitectures

PerfSpect PerfSpect is a system performance characterization tool based on linux perf targeting Intel microarchitectures. The tool has two parts perf

Intel Corporation 139 Dec 30, 2022
Silky smooth profiling for Django

Silk Silk is a live profiling and inspection tool for the Django framework. Silk intercepts and stores HTTP requests and database queries before prese

Jazzband 3.7k Jan 01, 2023
Django query profiler - one profiler to rule them all. Shows queries, detects N+1 and gives recommendations on how to resolve them

Django Query Profiler This is a query profiler for Django applications, for helping developers answer the question "My Django code/page/API is slow, H

Django Query Profiler 116 Dec 15, 2022
Sampling profiler for Python programs

py-spy: Sampling profiler for Python programs py-spy is a sampling profiler for Python programs. It lets you visualize what your Python program is spe

Ben Frederickson 9.5k Jan 01, 2023
guapow is an on-demand and auto performance optimizer for Linux applications.

guapow is an on-demand and auto performance optimizer for Linux applications. This project's name is an abbreviation for Guarana powder (Guaraná is a fruit from the Amazon rainforest with a highly ca

Vinícius Moreira 19 Nov 18, 2022
This tool allows to gather statistical profile of CPU usage of mixed native-Python code.

Sampling Profiler for Python This tool allows to gather statistical profile of CPU usage of mixed native-Python code. Currently supported platforms ar

Intel Corporation 13 Oct 04, 2022
Rip Raw - a small tool to analyse the memory of compromised Linux systems

Rip Raw Rip Raw is a small tool to analyse the memory of compromised Linux systems. It is similar in purpose to Bulk Extractor, but particularly focus

Cado Security 127 Oct 28, 2022
Python compiler that massively increases Python's code performance without code changes.

Flyable - A python compiler for highly performant code Flyable is a Python compiler that generates efficient native code. It uses different techniques

Flyable 35 Dec 16, 2022
Pearpy - a Python package for writing multithreaded code and parallelizing tasks across CPU threads.

Pearpy The Python package for (pear)allelizing your tasks across multiple CPU threads. Installation The latest version of Pearpy can be installed with

MLH Fellowship 5 Nov 01, 2021
Shrapnel is a scalable, high-performance cooperative threading library for Python.

This Python library was evolved at IronPort Systems and has been provided as open source by Cisco Systems under an MIT license. Intro Shrapnel is a li

216 Nov 06, 2022
Cinder is Instagram's internal performance-oriented production version of CPython

Cinder is Instagram's internal performance-oriented production version of CPython 3.8. It contains a number of performance optimizations, including bytecode inline caching, eager evaluation of corout

Facebook Incubator 2.2k Dec 30, 2022
Pyccel stands for Python extension language using accelerators.

Pyccel stands for Python extension language using accelerators.

Pyccel 242 Jan 02, 2023
A low-impact profiler to figure out how much memory each task in Dask is using

dask-memusage If you're using Dask with tasks that use a lot of memory, RAM is your bottleneck for parallelism. That means you want to know how much m

Itamar Turner-Trauring 23 Dec 09, 2022