gomacro
Interactive Go interpreter and debugger with REPL, Eval, generics and Lisp-like macros (by cosmos72)
beartype
Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python. (by beartype)
gomacro | beartype | |
---|---|---|
11 | 18 | |
2,133 | 2,430 | |
- | 2.8% | |
6.4 | 9.4 | |
4 months ago | 2 days ago | |
Go | Python | |
Mozilla Public License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
gomacro
Posts with mentions or reviews of gomacro.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-19.
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Go superset
gomacro added macros and generics several years before generics reached release.
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Alternative REPL to "gore"
I use https://github.com/cosmos72/gomacro when I want to quickly try some code.
- Gomacro: Go Interpreter and REPL
- Interpreters built in Go
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".. beat the Crap out of ..", really liked that wording. You can't trump that.
Officially, it's not much scripting friendly, but there are unofficial support to make it a proper scripting option like the gomacro.
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How to run a go main package from another go program?
If it's a simple program I guess you could use gomacro:https://github.com/cosmos72/gomacro
- Scripting in Go
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go-notebook
Thanks to gomacro we can import no standard libraries on the notebook :P
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DoorDash: Migrating From Python to Kotlin for Our Backend Services
For our use (debugging and running small scripts to update data), gomacro should work well enough, despite being an "almost complete" Go interpreter. This isn't the same as the Python REPL which uses entirely the same code to run, but it should be up to the task.
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Hy: A dialect of Lisp that's embedded in Python
I keep meaning to play with https://github.com/cosmos72/gomacro
beartype
Posts with mentions or reviews of beartype.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-28.
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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
What are some alternatives?
When comparing gomacro and beartype you can also consider the following projects:
yaegi - Yaegi is Another Elegant Go Interpreter
typeguard - Run-time type checker for Python
gophernotes - The Go kernel for Jupyter notebooks and nteract.
pydantic - Data validation using Python type hints
mypyc - Compile type annotated Python to fast C extensions
mypy - Optional static typing for Python
hissp - It's Python with a Lissp.
go-pry - An interactive REPL for Go that allows you to drop into your code at any point.
toit - Program your microcontrollers in a fast and robust high-level language.
hy-lisp-python - examples for my book "A Lisp Programmer Living in Python-Land: The Hy Programming Language"
benchmarks - Some benchmarks of different languages