Trace the local context of Python functions with just a decorator
Trace the local context of a Python function's execution with just a decorator. - mihneadb/python-execution-trace
Trace the local context of Python functions with just a decorator launched on May 24, 2016 with 5 votes and more than 50% of that year's launches. The site was still online in September 2026, 10 years on.
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Python decorator to log local variables with each line of code run2023 · pypi.org · ▲42Print each local variable and line of code at execution
- LLLocalscope–Limit scope of Python functions for reproducible execution2025 · localscope.readthedocs.io · ▲67
localscope is a small Python package that disassembles functions to check if they access global variables they shouldn't. I wrote this a few years ago to detect scope bugs which are common in Jupyter notebooks. It's recently come in handy writing jax code (https://github.com/jax-ml/jax) because it requires pure functions. Thought I'd share.
Debugging-Friendly Tracebacks for Python2019 · github.com · ▲123Debugging-friendly exceptions for Python. Contribute to cknd/stackprinter development by creating an account on GitHub.
Python decorator that enables arbitrarily-deep tail/non-tail recursion2021 · github.com · ▲119Contribute to tylerhou/fiber development by creating an account on GitHub.
Pyper – Concurrent Python Made Simple2025 · github.com · ▲156Hello and happy new year! We're excited to introduce the Pyper package for concurrency & parallelism in Python. Pyper is a flexible framework for concurrent / parallel data processing, following the functional paradigm. Source code can be found on [github](https://github.com/pyper-dev/pyper) Key features: Intuitive API: Easy to learn, easy to think about. Implements clean abstractions to seamlessly unify threaded, multiprocessed, and asynchronous work. Functional Paradigm: Python functions are the building blocks of data pipelines. Let's you write clean, reusable…
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