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datafog-python

DataFog/datafog-python

Offline PII firewall for AI agents and LLM apps

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

29views this month

72 stars14 forksLast push Sep 10, 2026 Python MIT

Decision brief

datafog-python is an offline PII firewall for AI agents and LLM apps, featuring fast local detection and redaction of PII with minimal dependencies.

Good fit when

If you require rapid, offline detection and redaction of personally identifiable information without network calls or extensive dependencies.
To integrate a lightweight pii-detection system into existing AI agents or LLM applications that needs to adhere strictly to compliance standards.

Avoid when

When your application needs cloud-based processing capabilities beyond local pii detection and redaction offered by datafog-python.
If the need arises for advanced networked security features such as real-time threat intelligence updates, which datafog-python with its offline nature does not provide.

Observed Jul 16, 2026 · Source: enrich:decision_facts

datafog-python alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (2d since push); As of Sep 13, 2026
Provenance: Not a fork · Organization account; As of Sep 13, 2026
Security (OSV): No criticals; As of Jul 15, 2026

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

Install

pip install datafog-python

PyPI

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Evidence and technical details

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

Overview

Provides fast local detection and redaction of personally identifiable information (PII) with no network calls and minimal dependencies.

Capability facts

Languages: python
Source: github.language · Sep 13, 2026

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Sep 13, 2026)

```python import datafog

Source link

README

Core install (regex engine) pip install datafog Quick Start ```python import datafog text = "Contact john@example.com or call (555) 123 4567" clean = datafog.sanitize(text, engine="regex") print(clean)

For agents

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

/tools/datafog-datafog-python.md GET /api/graphcanon/tools/datafog-datafog-python GET /api/graphcanon/graph?tool=datafog-datafog-python