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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
Lightfinder

$1,050 USD since Jan 2023

4
angr

$560 USD since Oct 2020

5
EuroPython Society

$250 USD since Sep 2021

6
Lark

$190 USD since Oct 2021

7
Salesforce

$180 USD since Dec 2019

8
Batch

$145 USD since Jan 2021

9
DVC.org

$100 USD since May 2019

10
Open Collective Foundation

$100 USD since Jan 2021

Individuals

1
Incognito

$10,000 USD since Aug 2021

2
Christian Calderon

$1,500 USD since Jan 2021

3
Aaron Wise

$1,120 USD since Apr 2020

4
Pedro R.

$690 USD since Sep 2020

5
Aljosa Mohorovic

$440 USD since Apr 2021

6
Incognito

$350 USD since Sep 2021

7
Robert Scott

$300 USD since Sep 2020

8
Panos Laganakos

$205 USD since Dec 2020

9
Greg Werbin

$205 USD since Aug 2021

10
Martin Gfeller

$200 USD since Aug 2020

PyPy is all of us

Our contributors 95

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

$1,120 USD

Lightfinder

supporter

$1,050 USD

Pedro R.

supporter

$690 USD

Budget


Transparent and open finances.

+$5.00USD
Completed
Contribution #484548
+$5.00USD
Completed
Contribution #502481
+$50.00USD
Completed
Contribution #786476
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Today’s balance

$8,457.35 USD

Total raised

$19,086.41 USD

Total disbursed

$10,629.06 USD

Estimated annual budget

$1,995.00 USD

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News from PyPy

Updates on our activities and progress.

New news and old news

Old news: I didn't send out an update about the 7.3.12 release, assuming you all are of course subscribed to our...
Read more
Published on August 6, 2023 by Matti Picus

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

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