Comparison
presidio vs PolyFuzz
Verdict
Pick presidio if 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; pick PolyFuzz if polyFuzz leverages advanced methods like BERT embeddings, edit distance, Levenshtein distance, and TF-IDF for sophisticated fuzzy string matching in Python datasets.
Markdown twin · presidio alternatives · PolyFuzz alternatives
GraphCanon updated Sep 20, 2026
11views this month
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Trust & integrity
| Signal | presidio | PolyFuzz |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 11, 2026 · github_public_v1 | Dormant (437d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 11, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- presidio
- A framework for detecting and anonymizing sensitive data
- PolyFuzz
- Fuzzy string matching, grouping and evaluation
Stars
- presidio
- 11k
- PolyFuzz
- 803
Forks
- presidio
- 1.3k
- PolyFuzz
- 72
Open issues
- presidio
- 111
- PolyFuzz
- 32
Language
- presidio
- Python
- PolyFuzz
- Python
Adopt for
- presidio
- 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.
- PolyFuzz
- PolyFuzz leverages advanced methods like BERT embeddings, edit distance, Levenshtein distance, and TF-IDF for sophisticated fuzzy string matching in Python datasets.
Persona
- presidio
- -
- PolyFuzz
- -
Runtime
- presidio
- -
- PolyFuzz
- -
License
- presidio
- MIT License for use under permissive terms that allows free usage for commercial or non-commercial purposes with full source code available.
- PolyFuzz
- MIT
Last pushed
- presidio
- Sep 10, 2026
- PolyFuzz
- Jul 10, 2025
Categories
- presidio
- Data & Retrieval, Evaluation & Observability
- PolyFuzz
- Data & Retrieval, Evaluation & Observability
Trust and health
Maintenance
- presidio
- Very active (96%)
- PolyFuzz
- Dormant (18%)
Days since push
- presidio
- 0d
- PolyFuzz
- 437d
Open issues (now)
- presidio
- 111
- PolyFuzz
- 32
Stars delta
- presidio
- +423 (30d)
- PolyFuzz
- +3 (30d)
Open issues delta
- presidio
- +9 (30d)
- PolyFuzz
- 0 (30d)
Owner type
- presidio
- Organization
- PolyFuzz
- User
Full report
- presidio
- Trust report
- PolyFuzz
- Trust report
Shared compatibility
- Python · presidio: Python runtime · PolyFuzz: Python runtime
Choose presidio if…
- Pricing: Open-source and freely usable as it relies on the MIT license; however, additional support services may incur costs..
- Requirements: Requires Docker.
- Tags unique to presidio: data-anonymization, data-obfuscation, group:python-frameworks.
- presidio ships Docker support for self-hosted deployment.
- 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.
When NOT to use presidio
- 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.
Choose PolyFuzz if…
- Tags unique to PolyFuzz: bert, edit-distance, embeddings, levenshtein-distance.
- Use PolyFuzz when your project requires deep semantic similarity detection with BERT embeddings alongside traditional string metrics.
- Leaner open-issue backlog (32).
When NOT to use PolyFuzz
- Avoid using PolyFuzz if you aim to match very short strings since Levenshtein distance and edit distance may dominate over BERT's nuances.
- Steer clear if runtime speed is a priority, as embedding computations can be resource-intensive compared to purely algorithmic methods.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (data-privacy-stack/presidio) · observed Sep 20, 2026
- GitHub forks (data-privacy-stack/presidio) · observed Sep 20, 2026
- Last push (data-privacy-stack/presidio) · observed Sep 10, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (MaartenGr/PolyFuzz) · observed Sep 20, 2026
- GitHub forks (MaartenGr/PolyFuzz) · observed Sep 20, 2026
- Last push (MaartenGr/PolyFuzz) · observed Jul 10, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: presidio 11k · PolyFuzz 803 (synced Sep 20, 2026).
Common questions
- What is the difference between presidio and PolyFuzz?
- presidio: A framework for detecting and anonymizing sensitive data. PolyFuzz: Fuzzy string matching, grouping and evaluation. See the comparison table for live GitHub stats and shared categories.
- When should I choose presidio over PolyFuzz?
- Choose presidio over PolyFuzz when Pricing: Open-source and freely usable as it relies on the MIT license; however, additional support services may incur costs.; Requirements: Requires Docker; Tags unique to presidio: data-anonymization, data-obfuscation, group:python-frameworks; presidio ships Docker support for self-hosted deployment; 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.
- When should I choose PolyFuzz over presidio?
- Choose PolyFuzz over presidio when Tags unique to PolyFuzz: bert, edit-distance, embeddings, levenshtein-distance; Use PolyFuzz when your project requires deep semantic similarity detection with BERT embeddings alongside traditional string metrics; Leaner open-issue backlog (32).
- When should I avoid presidio?
- 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.
- When should I avoid PolyFuzz?
- Avoid using PolyFuzz if you aim to match very short strings since Levenshtein distance and edit distance may dominate over BERT's nuances. Steer clear if runtime speed is a priority, as embedding computations can be resource-intensive compared to purely algorithmic methods.
- Is presidio or PolyFuzz more popular on GitHub?
- presidio has more GitHub stars (10,818 vs 803). Stars measure visibility, not whether either tool fits your constraints.
- Are presidio and PolyFuzz open source?
- Yes - both are open-source projects on GitHub (presidio: MIT, PolyFuzz: MIT).
- Where can I find alternatives to presidio or PolyFuzz?
- GraphCanon lists graph-backed alternatives at presidio alternatives and PolyFuzz alternatives (presidio markdown twin, PolyFuzz markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, presidio or PolyFuzz?
- presidio: Very active. PolyFuzz: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for presidio and PolyFuzz?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: presidio trust report; PolyFuzz trust report.