Open Collective
Open Collective

PyPy

PyPy is a faster way to run Python

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Top financial contributors

Organizations

1
Triplebyte

$1,575 USD since Jan 2019

2
Enplore

$1,300 USD since Sep 2020

3
angr

$560 USD since Oct 2020

4
EuroPython Society

$250 USD since Sep 2021

5
Lightfinder

$250 USD since Jan 2023

6
Salesforce

$180 USD since Dec 2019

7
Batch

$145 USD since Jan 2021

8
DVC.org

$100 USD since May 2019

9
Open Collective Foundation

$100 USD since Jan 2021

10
Lark

$100 USD since Oct 2021

Individuals

1
Incognito

$10,000 USD since Aug 2021

2
Christian Calderon

$1,500 USD since Jan 2021

3
Aaron Wise

$760 USD since Apr 2020

4
Pedro R.

$600 USD since Sep 2020

5
Robert Scott

$300 USD since Sep 2020

6
Aljosa Mohorovic

$260 USD since Apr 2021

7
Martin Gfeller

$200 USD since Aug 2020

8
Incognito

$200 USD since Sep 2021

9
meow

$150 USD since Oct 2022

10
Ben Abrams

$145 USD since Jun 2020

PyPy is all of us

Our contributors 90

Thank you for supporting PyPy.

incognito

$10,000 USD

Triplebyte

pypy3.6 backer

$1,575 USD

Christian Cal...

$1,500 USD

Hopefully this helps getting pypy ported to App...

Enplore

supporter

$1,300 USD

Aaron Wise

$760 USD

Pedro R.

supporter

$600 USD

angr

supporter

$560 USD

Budget


Transparent and open finances.

+$50.00USD
Completed
Contribution #618482
+$5.00USD
Completed
Contribution #484616
+$5.00USD
Completed
Contribution #466570
$
Today’s balance

$6,521.18 USD

Total raised

$17,150.24 USD

Total disbursed

$10,629.06 USD

Estimated annual budget

$2,096.33 USD

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Let’s get the ball rolling!

News from PyPy

Updates on our activities and progress.

PyPy 7.3.6 was released

The full post Highlights: - We have merged a backend for...
Read more
Published on October 18, 2021 by Matti Picus

PyPy 7.3.4 was released

Please visit our blog for more info
Read more
Published on April 16, 2021 by Matti Picus

PyPy 7.3.2 has been released

For more information see the blog post or the full re...
Read more
Published on September 26, 2020 by Matti Picus

About


A fast, compliant alternative implementation of Python. PyPy uses a JIT and an advanced garbage collector strategy to speed up pure python code.

Our team