open-data-anonymizer
ideas
open-data-anonymizer | ideas | |
---|---|---|
5 | 81 | |
220 | 1,647 | |
0.9% | 0.2% | |
2.0 | 7.3 | |
10 months ago | 2 months ago | |
Python | ||
BSD 3-clause "New" or "Revised" License | - |
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.
open-data-anonymizer
-
This Week in Python
open-data-anonymizer – Python Data Anonymization & Masking Library For Data Science Tasks
- Anonymize Your PDF in Python
-
Hide sensitive information in PDF using Python and NLP
I would appreciate if anyone tries to use! (or you can star the repository ⭐) Feedback and reports a bug is highly welcomed! I also did my best to write a comprehensive README.md, if you want to get started. So please check it out! GitHub Repo
-
My first contribution to open-source community - anonympy package!
u/Fomx Hey there! Here https://github.com/ArtLabss/open-data-anonymizer I did have both requirements.txt and setup.py.
ideas
-
Type information for faster Python C extensions
Lower latency native calls in Python would be extremely useful, thank you for your work! Is the following GitHub issue the right place to monitor progress? https://github.com/faster-cpython/ideas/issues/546
I'm open to doing some benchmarking. Several of my libraries have pure CPython bindings (StringZilla, UCall, SimSIMD), and all perform low-latency SIMD-accelerated ops, so might be a good testing ground :)
-
How Many Lines of C It Takes to Execute a and B in Python?
Recent CPython development has been towards optimizations and addressing use cases that benefit from optimizations, some coming from the faster CPython initiative. You might just get your JIT[1].
[1] https://github.com/faster-cpython/ideas/wiki/Workflow-for-3....
-
GIL removal and the Faster CPython project
The faster-cpython folks seem to be working towards a JIT (https://github.com/faster-cpython/ideas/tree/main/3.13) and both pyston and cinder have JITs. So I don't think anyone has ruled one out.
-
Our Plan for Python 3.13
faster-cpython team has done a lot of work to experiment on it: https://github.com/faster-cpython/ideas/issues/485#issuecomm...
It kind of sounds like migration to register based is a foregone conclusion, but it's not very clear to me.
-
Faster CPython at PyCon, part two
lots of big ideas are still remaining to be done. One example is the register based interpreter, see https://github.com/faster-cpython/ideas/issues/485
A previous plan called for the beginning of a JIT in 3.12, seen as "Trace optimized interpreter" here: https://github.com/faster-cpython/ideas/wiki/Workflow-for-3....
- EdgeDB – A graph-relational database built on top of Postgres
- Python 3.12 Nogil Benchmark
What are some alternatives?
open-data-anonimizer - Python Data Anonymization & Masking Library For Data Science Tasks [Moved to: https://github.com/ArtLabss/open-data-anonymizer]
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
Django - The Web framework for perfectionists with deadlines.
faster-cpython - How to make CPython faster.
PikaPython - An ultra-lightweight Python interpreter that runs with only 4KB of RAM, zero dependencies. It is ready to use out of the box without any configuration required and easy to extend with C. Similar project: MicroPython, JerryScript.
Pyjion - Pyjion - A JIT for Python based upon CoreCLR
mlcourse.ai - Open Machine Learning Course
pyenv-virtualenv - a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)
PonyORM - Pony Object Relational Mapper
jnumpy - Writing Python C extensions in Julia within 5 minutes.
nogil - Multithreaded Python without the GIL
cinder - Cinder is Meta's internal performance-oriented production version of CPython.