PyDP
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy (by OpenMined)
CuVec
Unifying Python/C++/CUDA memory: Python buffered array ↔️ `std::vector` ↔️ CUDA managed memory (by AMYPAD)
| PyDP | CuVec | |
|---|---|---|
| 1 | 1 | |
| 483 | 78 | |
| 2.3% | - | |
| 7.0 | 8.7 | |
| 4 months ago | 22 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
PyDP
Posts with mentions or reviews of PyDP.
We have used some of these posts to build our list of alternatives
and similar projects.
-
How to make the medical data in order to protect the data privacy?
As the title mentioned, I studied some tutorials about differential privacy and the examples of PyDP, but they only deal with simple cases(structure text). Which paper/direction I should focus on if I want to make the unstructured medical data private? Is it possible to make the data private with some preprocessing before I feed the data into the model? A naive idea is find out the sensitive part(ex : name), change them to non sensitive text manually. Thanks
CuVec
Posts with mentions or reviews of CuVec.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-18.
What are some alternatives?
When comparing PyDP and CuVec you can also consider the following projects:
mailjet-apiv3-python - [API v3] Python Mailjet wrapper
pyRevit - Rapid Application Development (RAD) Environment for Autodesk Revit®
differential-privacy-library - Diffprivlib: The IBM Differential Privacy Library
gcovr - generate code coverage reports with gcc/gcov
Ciphey - ⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
maude-bindings - Language bindings for Maude
PrivacyEngCollabSpace - Privacy Engineering Collaboration Space
JaroWinkler - Python library for fast approximate string matching using Jaro and Jaro-Winkler similarity