Decorator Alternatives

Similar projects and alternatives to decorator based on common topics and language

CPython

1,314 59,658 10.0 Python decorator VS CPython

The Python programming language
thonny

176 2,880 9.5 Python decorator VS thonny

Python IDE for beginners
InfluxDB

www.influxdata.com featured

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
pydantic

167 18,617 9.8 Python decorator VS pydantic

Data validation using Python type hints
act

146 50,182 9.2 Go decorator VS act

Run your GitHub Actions locally 🚀
pyodide

67 11,397 9.7 Python decorator VS pyodide

Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
pytest

30 11,371 9.8 Python decorator VS pytest

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
hy

52 4,775 9.2 Python decorator VS hy

A dialect of Lisp that's embedded in Python
SaaSHub

www.saashub.com featured

SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better decorator alternative or higher similarity.

Suggest an alternative to decorator

decorator reviews and mentions

Posts with mentions or reviews of decorator. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-23.

Python Malware Starting to Employ Anti-Debug Techniques
7 projects | news.ycombinator.com | 23 Dec 2022

that doesn't make much sense and there are necessary uses for eval() /exec(), mostly for dynamic creation of code:
For example here's Python dataclasses in the standard library using exec() to create the `__init__` and other methods that go on your dataclass:
https://github.com/python/cpython/blob/main/Lib/dataclasses....
Here's Pydantic using it for a jupyter notebook check:
https://github.com/pydantic/pydantic/blob/594effa279668bd955...
here's Pytest using it to rewrite modules so that functions like assert etc. are instrumented by pytest:
https://github.com/pytest-dev/pytest/blob/eca93db05b6c5ec101...
Here's the decorator module using it (as is the only way to do this in Python) to create a signature matching decorator for an arbitrary function:
https://github.com/micheles/decorator/blob/ad013a2c1ad796996...
All of these libraries are completely secure as eval/exec are used with code fragments that are generated by the libraries, not based on untrusted input.
eval() /exec() are not running executable files, just Python code, the same way all the rest of the package is already doing.