beartype
Quasar
beartype | Quasar | |
---|---|---|
18 | 6 | |
2,430 | 4,548 | |
2.8% | 0.2% | |
9.4 | 0.0 | |
4 days ago | 4 months ago | |
Python | Java | |
MIT 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.
beartype
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Writing Python Like Rust
https://github.com/beartype/beartype
I wish more people started using Beartype, it makes Python bearable
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ChatGPT Git Hook Writes Your Commit Messages
I saw this on /r/Python the other day...
- When the client's management is happy but their dev team is a pain
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Returning to snake's nest after a long journey, any major advances in python for science ?
As other folks have commented, type hints are now a big deal. For static typing the best checker is pyright. For runtime checking there is typeguard and beartype. These can be integrated with array libraries through jaxtyping. (Which also works for PyTorch/numpy/etc., despite the name.)
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What are some features you wish Python had?
Maybe you're looking for https://github.com/beartype/beartype for runtime type enforcement; it's only at function calls, though, but probably a decent solution for codebases that are not completely typed for MyPy or pyright.
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svg.py: Type-safe and powerful Python library to generate SVG files
It is though, if you add a type checker to your pipeline and use it without any escape hatches such as `Any` or `type: ignore`, you are essentially making the promise that your code is statically typed. But I say it is a matter of perspective because in my opinion runtime type checking should be avoided if we can get away with statically typed code, but there are type checkers that perform runtime type checking via annotations such as [Beartype](https://github.com/beartype/beartype) (with some trickery like assuming homogenous data structures as to not have to check every element of every structure). Anyway the definition of "type safe" is not 100% even in compiled languages.
- Python’s “Type Hints” are a bit of a disappointment to me
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What's the best practice to validate parameter types at runtime in Python, with and without a third-party module?
There is the beartype project.
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Statically typed Python
Personally I find working around mypy's quirks to be more effort than it's worth, so to offer another option: typeguard or beartype can be used to perform run-time type checking.
- Beartype: Unbearably fast runtime type checking in Python
Quasar
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Java 21 makes me like Java again
Java 21 doesn't retrofit green threads though. Quasar [0] is a library that implemented fibers for Java and the main developer pron has joined the OpenJDK development team. All that was necessary for first party support is to make the JDK libraries yield when blocking.
Adopting async isn't impossible at all, there is very little demand for it.
[0] https://docs.paralleluniverse.co/quasar/
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Lies we tell ourselves to keep using Golang
Third party options have been around for nearly a decade now: https://docs.paralleluniverse.co/quasar/
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Picking up Go as a Java dev—what could possibly go wrong?
Quasar Fiber (https://docs.paralleluniverse.co/quasar/) is the equivalent implementation of goroutine in Java.
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Helidon Nima - First Framework built from the ground up for Project Loom
Even Loom architect Ron Pressler had something else in mind with his earlier prototype Quasar, with a spaceship demo.
- Thread Pools on the JVM
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DoorDash: Migrating From Python to Kotlin for Our Backend Services
I'd say because of Erlang. Loom's architect was building a bytecode-modifying (with a javaagent) lib named Quasar before he joined Oracle. The project page mentions a news titled "Introductory blog post: Erlang (and Go) in Clojure (and Java), Lightweight Threads, Channels and Actors for the JVM." in May 2, 2013.
What are some alternatives?
typeguard - Run-time type checker for Python
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
pydantic - Data validation using Python type hints
Akka - Build highly concurrent, distributed, and resilient message-driven applications on the JVM
mypy - Optional static typing for Python
Apache ZooKeeper - Apache ZooKeeper
mypyc - Compile type annotated Python to fast C extensions
Zuul - Zuul is a gateway service that provides dynamic routing, monitoring, resiliency, security, and more.
toit - Program your microcontrollers in a fast and robust high-level language.
Apache Storm - Apache Storm
benchmarks - Some benchmarks of different languages
Orbit - Orbit - Virtual actor framework for building distributed systems