PyPy

PyPy is a faster way to run Python

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Top financial contributors

Individuals

1
Incognito

$10,000 USD since Aug 2021

2
Christian Calderon

$2,900 USD since Jan 2021

3
Aaron Wise

$1,440 USD since Apr 2020

4
Caleb Burns

$1,000 USD since Aug 2024

5
algmyr

$1,000 USD since Dec 2024

6
Pedro R.

$690 USD since Sep 2020

7
Aljosa Mohorovic

$600 USD since Apr 2021

8
Incognito

$350 USD since Sep 2021

9
Robert Scott

$300 USD since Sep 2020

10
Panos Laganakos

$280 USD since Dec 2020

Organizations

1
Enplore

$1,300 USD since Sep 2020

2
Lightfinder

$1,050 USD since Jan 2023

3
angr

$560 USD since Oct 2020

4
Lark

$270 USD since Oct 2021

5
EuroPython Society

$250 USD since Sep 2021

6
Batch

$145 USD since Jan 2021

7
GitHub Sponsors

$103.71 USD since Dec 2022

8
Open Collective Foundation

$100 USD since Jan 2021

PyPy is all of us

Our contributors 98

Thank you for supporting PyPy.

incognito

$10,000 USD

Christian Cal...

supporter

$2,900 USD

Hopefully this helps getting pypy ported to App...

Aaron Wise

$1,440 USD

Enplore

supporter

$1,300 USD

Lightfinder

supporter

$1,050 USD

Caleb Burns

supporter

$1,000 USD

algmyr

$1,000 USD

Budget


Transparent and open finances.

+$100.00USD
Completed
Contribution #835293
+$50.00USD
Completed
Contribution #786476

Credit from GitHub Sponsors to PyPy

+$5.00USD
Completed
Added funds #941195
$
Today’s balance

$12,187.34 USD

Total raised

$22,816.40 USD

Total disbursed

$10,629.06 USD

Estimated annual budget

$2,723.71 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...
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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