pypy

PyPy is a very fast and compliant implementation of the Python language. (by pypy)

Pypy Alternatives

Similar projects and alternatives to pypy

  1. Pytorch

    387 pypy VS Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

  2. Judoscale

    Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.

    Judoscale logo
  3. jupyter_rfb

    Remote Frame Buffer for Jupyter

  4. repo2jupyterlite

    Build jupyterlite apps out of repositories

  5. dramatiq

    15 pypy VS dramatiq

    A fast and reliable background task processing library for Python 3.

  6. PeachPy

    4 pypy VS PeachPy

    x86-64 assembler embedded in Python

  7. transit-python3

    Fork of transit-python2

  8. InfluxDB

    InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

    InfluxDB logo
  9. voila

    2 pypy VS voila

    Using VoilĂ  with matplotlib example (by binder-examples)

  10. svd_util

    3 pypy VS svd_util

    python utulity funcs, classes, small languages, frameworks, scripts. i tend to use most optz, attr, struct, py3, eutf

  11. csp

    3 pypy VS csp

    csp is a high performance reactive stream processing library, written in C++ and Python

  12. lightning-thunder

    Thunder gives you PyTorch models superpowers for training and inference. Unlock out-of-the-box optimizations for performance, memory and parallelism, or roll out your own.

  13. Cython

    80 pypy VS Cython

    The most widely used Python to C compiler

  14. python-dsls

    2 pypy VS python-dsls

    Materials for the talk "Python already has a frontend for your compiler" at PiterPy 2023

  15. attention-gym

    Helpful tools and examples for working with flex-attention

  16. paip-python

    Peter Norvig's Paradigms of AI Programming implemented in Python

  17. art-deco

    1 pypy VS art-deco
  18. Pyston

    22 pypy VS Pyston

    (No longer maintained) A faster and highly-compatible implementation of the Python programming language.

  19. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

    CodeRabbit logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better pypy alternative or higher similarity.

pypy discussion

Log in or Post with

pypy reviews and mentions

Posts with mentions or reviews of pypy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-02-03.
  • Decorator JITs: Python as a DSL
    10 projects | news.ycombinator.com | 3 Feb 2025
  • PyPy v7.3.16 Release
    4 projects | news.ycombinator.com | 24 Apr 2024
    You'll note I said I was playing with RPython, not PyPy. In my case, I was playing with writing a small interpreter, and comparing the RPython toolchain with the Truffle/Graal framework.

    Writing RPython code, even if one is not developing or contributing to PyPy, means writing within a subset of python 2.

    > RPython ("Restricted Python") is a subset of Python 2

    https://www.pypy.org/posts/2022/04/how-is-pypy-tested.html

    And RPython's translator specifically uses pypy, and uses python 2 syntax:

    https://github.com/pypy/pypy/blob/main/rpython/bin/rpython#L...

    ... so getting the RPython toolchain (even if one is intending to improve the PyPy 3+ interpreters) requires setting up a pypy 2 interpreter. Hence the question in my post.

Stats

Basic pypy repo stats
2
1,324
9.8
8 days ago

Sponsored
Save 47% on cloud hosting with autoscaling that just works
Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
judoscale.com