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Privacy Preserving Python Packages

Python packages with the GitHub topic privacy-preserving. Sorted by relevance, with stars and monthly downloads.
bugout-dev
humbug

Get usage metrics and crash reports for your API, library, or command line tool.

31K 38 6
benzsevern
goldenmatch

Polyglot entity-resolution + data-quality toolkit. Zero-config auto-config (negative-evidence + Path Y) hits DQbench composite 91.04 (T3 53.8% → 85.5%). Holds 0.96 DBLP-ACM, 0.94 Febrl3, 0.97 NCVR. GoldenCheck → GoldenFlow → GoldenMatch → GoldenPipe. MCP per package, multi-arch containers, Airflow DAGs, browser workbench.

7K 44 6
secretflow
spu

SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.

7K 323 145
data61
anonlink

Python implementation of anonymous linkage using cryptographic linkage keys

7K 74 8
IFCA-Advanced-Computing
pycanon

pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.

5K 52 9
helmut-hoffer-von-ankershoffen
ammp

Reference implementation of AMMP (Agentic Mentor-Mentee Protocol, draft-arturo-ammp-01), Mentoring track, on FastMCP. Multi-mentor + multi-mentee, LLM-synthesised AskMentor with confidence-driven escalation.

5K - -
secretflow
secretflow

A unified framework for privacy-preserving data analysis and machine learning

4K 3K 476
secretflow
secretflow-serving-lib

SecretFlow-Serving is a serving system for privacy-preserving machine learning models.

4K 16 6
secretflow
secretflow-lite

SecretFlow Lite

2K 3K 476
martaajonees
dp-sequential-events

Privatized

2K 0 0
benzsevern
goldenpipe

Polyglot entity-resolution + data-quality toolkit. Zero-config auto-config (negative-evidence + Path Y) hits DQbench composite 91.04 (T3 53.8% → 85.5%). Holds 0.96 DBLP-ACM, 0.94 Febrl3, 0.97 NCVR. GoldenCheck → GoldenFlow → GoldenMatch → GoldenPipe. MCP per package, multi-arch containers, Airflow DAGs, browser workbench.

2K 0 0
benzsevern
goldenflow

Polyglot entity-resolution + data-quality toolkit. Zero-config auto-config (negative-evidence + Path Y) hits DQbench composite 91.04 (T3 53.8% → 85.5%). Holds 0.96 DBLP-ACM, 0.94 Febrl3, 0.97 NCVR. GoldenCheck → GoldenFlow → GoldenMatch → GoldenPipe. MCP per package, multi-arch containers, Airflow DAGs, browser workbench.

2K 1 0
secretflow
secretflow-spec

Secretflow spec

1K 7 2
secretflow
sf-sml

Secretflow Secure Machine Learning

1K 323 145
ray-project
rayfed-nightly

A multiple parties joint, distributed execution engine based on Ray,to help build your own federated learning frameworks in minutes.

853 96 23
ray-project
secretflow-rayfed

A multiple parties joint, distributed execution engine based on Ray, to help build your own federated learning frameworks in minutes.

715 96 23
benzsevern
goldenmatch-duckdb

Polyglot entity-resolution + data-quality toolkit. Zero-config auto-config (negative-evidence + Path Y) hits DQbench composite 91.04 (T3 53.8% → 85.5%). Holds 0.96 DBLP-ACM, 0.94 Febrl3, 0.97 NCVR. GoldenCheck → GoldenFlow → GoldenMatch → GoldenPipe. MCP per package, multi-arch containers, Airflow DAGs, browser workbench.

528 2 0
FederatedAI
fate-test

An Industrial Grade Federated Learning Framework

528 6K 2K
indexnetwork
indexnetwork-sdk

Discovery Protocol

423 108 17
BenetManzanaresSalor
taeval

Text Anonymization Evaluator (TAE)

379 1 0
benzsevern
goldensuite-mcp

Polyglot entity-resolution + data-quality toolkit. Zero-config auto-config (negative-evidence + Path Y) hits DQbench composite 91.04 (T3 53.8% → 85.5%). Holds 0.96 DBLP-ACM, 0.94 Febrl3, 0.97 NCVR. GoldenCheck → GoldenFlow → GoldenMatch → GoldenPipe. MCP per package, multi-arch containers, Airflow DAGs, browser workbench.

325 44 6
burning-cost
insurance-synthetic

Vine copula synthetic portfolio generation for insurance — exposure-aware, fidelity reporting

323 0 0
AI-team-UoA
privjedai

An open-source library that builds powerful end-to-end PPRL workflows.

245 5 0
chigwell
ai-mysql-translator

A new package enables AI systems to securely interact with MySQL databases by translating natural language queries into structured SQL commands. It processes user text input to generate safe, validate

222 1 0
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