PrivQ
PrivQ is a privacy-preserving SQL transformation library with C++ extensions.
What It Includes
- ORQ: normalizes SELECT column order
- PrivQ join reorder: differentially private table-size estimation utilities
- ShrinkWrap: structural SQL padding transforms
Install
pip install PrivQ
Quick Start
import PrivQ as p
sql = "SELECT salary, name, age FROM employees"
orq_sql = p.orq(sql)
padded_sql = p.shrinkwrap(orq_sql, padding=True, pad_level=2)
1 maintainer
Release files for PrivQ 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| privq-1.3.0.tar.gz | 30.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| privq-1.3.0-cp313-cp313-macosx_12_0_arm64.whl | CPython 3.13 | CPython 3.13 | macOS 12.0+ ARM64 | Details |
Total release size: 358.9 kB
Release files / privq-1.3.0.tar.gz
| Download URL | privq-1.3.0.tar.gz |
|---|---|
| Size | 30.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / privq-1.3.0-cp313-cp313-macosx_12_0_arm64.whl
| Download URL | privq-1.3.0-cp313-cp313-macosx_12_0_arm64.whl |
|---|---|
| Size | 328.1 kB |
| Tags | CPython 3.13 macOS 12.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.11
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