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presidio

data-privacy-stack/presidio

A framework for detecting and anonymizing sensitive data

GraphCanon updated Sep 11, 2026 · GitHub synced Sep 11, 2026

38views this month

11k stars1.3k forksLast push Sep 10, 2026 Python MIT

Decision brief

Presidio is an open-source framework for identifying and anonymizing sensitive data including text, images, and structured formats through its NLP, pattern matching, and customizable pipeline capabilities.

Good fit when

  • When you need a tool that supports not only text but also image and structured data anonymization, Presidio offers broad coverage for different data types.
  • If your project requires the use of Python or PySpark along with Docker or Kubernetes support, Presidio fits well due to its multiple compatibility options.

Avoid when

  • Avoid using Presidio if your project strictly requires manual data anonymization processes as it mainly supports automated detection.
  • Presidio's automated mechanisms may not catch all sensitive information, so you should not solely rely on it when a near-perfect accuracy rate in PII identification is crucial.
Pricing:
freemium - Open-source and freely usable as it relies on the MIT license; however, additional support services may incur costs.
Requirements:
Requires Docker

Observed Jul 17, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 11, 2026
Provenance
Not a fork · Organization account
As of Sep 11, 2026
Security (OSV)
No lockfile
As of Jul 15, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install presidio
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Presidio is an open-source, context-aware, pluggable, and customizable PII de-identification service that supports text, images, and structured data anonymization using NLP, pattern matching, and custom pipelines.

Capability facts

Deploy
Self-host

Source: dockerfile:docker-compose.yml · Sep 11, 2026

Docker
Dockerfile present

Source: dockerfile:docker-compose.yml · Sep 11, 2026

Languages
python

Source: github.language+pyproject.toml · Sep 11, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 11, 2026)

3. Multiple usage options, **from Python or PySpark workloads through Docker to Kubernetes**.
Source link

Tags

README

Presidio Data Protection and De identification SDK :mega: Presidio is moving to a new home! Read more here :mega: Context aware, pluggable and customizable PII de identification service for text and images. Component Downloads Coverage Presidio Analyzer Presidio Anonymizer Presid...

For agents

This page has a .md twin and JSON over the API.

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