traitlets
cinder
| traitlets | cinder | |
|---|---|---|
| 4 | 43 | |
| 602 | 3,379 | |
| 0.0% | 0.6% | |
| 7.7 | 9.4 | |
| 18 days ago | 6 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
traitlets
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[Guide] A Tour Through the Python Framework Galaxy: Discovering the Stars
Try traitlets
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Is Spock-Config the only tool that integrates object-oriented config files and command-line interfaces?
https://github.com/ipython/traitlets/pull/693 should help.
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An oral history of Bank Python
> This is loosely the same idea that drives React, ObservableHQ, Kafka, and other event-streaming architectures, but I first encountered this ~15 years ago at a bank.
See also the "observer pattern" [0]. It's a fun exercise to implement a reactive system in Python using the descriptor protocol [1]. IPython's traitlets library is an example of this in the wild [2].
[0]: https://en.wikipedia.org/wiki/Observer_pattern
[1]: https://docs.python.org/3/howto/descriptor.html
[2]: https://github.com/ipython/traitlets
cinder
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Meta Used Monolithic Architecture to Ship Threads in Only Five Months
Meta is actually contributing directly to upstream cpython. If you really wanted to, the internal fork is also open source: https://github.com/facebookincubator/cinder
- Meta pledges Three-Year sponsorship for Python if GIL removal is accepted
- Back end of Meta Threads is built with Python 3.10 with some interesting tweaks
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Lessons from Mojo for PHP 10+ ?
Just one example: last year Meta open-sourced Cinder, which powers Instagram and provides sizeable speedups compared to CPython.
- Python true static typing
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Best book on writing an optimizing compiler (inlining, types, abstract interpretation)?
I used to work on the Cinder JIT and can help document any passes you find interesting or confusing.
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Python-based compiler achieves orders-of-magnitude speedups
You might enjoy Cinder then. It's based on CPython so it is nearly 100% compatible.
https://github.com/facebookincubator/cinder/
Disclaimer: I used to work on it.
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beartype: It has documentation now. It only took two years, my last hair follicle, precious sanity points (SPs), and working with Sphinx. Don't be like @leycec. Go hard on documentation early.
I think Cinder's Static Python, which also performs runtime type checking, is more ambitious. Though it's not production ready yet.
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If there’s gonna be a Python 4.0 one day, what’s a breaking change you’d like to see? Let’s explore the ideas you have that can make Python even better!
Here's a fork that implements that https://github.com/facebookincubator/cinder - it might be nice to one day get that up streamed but obviously it'll be controversial and it certainly needs more time to bake. Hopefully at some point we can make it a pip installable extension though.
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Is it time for Python to have a statically-typed, compiled, fast superset?
The other thing that was interesting to me, was the potential of type annotations to help make for a faster, safer experience on the compiler end of things. One example is seen in Meta’s Cinder project, on the docs it explains how typing can be used to reduce the number of steps for the compiler ([cinder/static_python.rst at cinder/3.8 · facebookincubator/cinder · GitHub](https://github.com/facebookincubator/cinder/blob/cinder/3.8/CinderDoc/static_python.rst)), making it more effective.
What are some alternatives?
arctic - High performance datastore for time series and tick data
faster-cpython - How to make CPython faster.
aiomonitor - aiomonitor is module that adds monitor and python REPL capabilities for asyncio application
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
spock - spock is a framework that helps manage complex parameter configurations during research and development of Python applications
Pyjion
baize - Powerful and exquisite WSGI/ASGI framework/toolkit.
graalpython - A Python 3 implementation built on GraalVM
Maat - Validation and transformation library powered by deductive ascending parser. Made to be extended for any kind of project.
MonkeyType - A Python library that generates static type annotations by collecting runtime types
hupper - in-process file monitor / reloader for reloading your code automatically during development
hpy - HPy: a better API for Python