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data-privacy-stack

data-privacy-stack/presidio

PythonMITactivepopular
89Health

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

Stars9.8k
Forks1.2k
Open Issues92
Contributors1.2k
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
14
Popularity
25
#anonymization#data-anonymization#data-masking#data-obfuscation#data-privacy#data-redaction#de-identification#guardrails#image-redactor#named-entity-recognition#nlp#personally-identifiable-information#phi#pii#pii-detection#privacy#python#sensitive-data#spacy#transformers
View on GitHub ↗Issues (92) ↗Pull Requests ↗Wiki ↗

Should you contribute to data-privacy-stack/presidio?

data-privacy-stack/presidio has a FoundDev health score of 89/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under MIT, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

data-privacy-stack89

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

activepopular
9.8k1.2k contributors92 issues
0d ago

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