--- title: "presidio vs EnterpriseRAG-Bench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/data-privacy-stack-presidio-vs-onyx-dot-app-enterpriserag-bench" tools: ["data-privacy-stack-presidio", "onyx-dot-app-enterpriserag-bench"] --- # presidio vs EnterpriseRAG-Bench *GraphCanon updated Sep 20, 2026* ## 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 EnterpriseRAG-Bench if enterpriseRAG-Bench specializes in benchmarking RAG models on company internal documents, offering specific evaluation metrics for enterprise-level data. [presidio](https://presidio.dataprivacystack.org) reports 11k GitHub stars, 1.3k forks, and 111 open issues, last pushed Sep 10, 2026. [EnterpriseRAG-Bench](https://www.onyx.app/) has 562 stars, 62 forks, and 13 open issues, last pushed Sep 3, 2026. Figures are from public GitHub metadata via [presidio's repository](https://github.com/data-privacy-stack/presidio) and [EnterpriseRAG-Bench's repository](https://github.com/onyx-dot-app/EnterpriseRAG-Bench). | | [presidio](/tools/data-privacy-stack-presidio.md) | [EnterpriseRAG-Bench](/tools/onyx-dot-app-enterpriserag-bench.md) | | --- | --- | --- | | Tagline | A framework for detecting and anonymizing sensitive data | Dataset and benchmark for RAG on company internal documents | | Stars | 10,818 | 562 | | Forks | 1,279 | 62 | | Open issues | 111 | 13 | | Language | Python | - | | Adopt for | 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. | EnterpriseRAG-Bench specializes in benchmarking RAG models on company internal documents, offering specific evaluation metrics for enterprise-level data. | | Persona | - | - | | Runtime | - | - | | License | MIT License for use under permissive terms that allows free usage for commercial or non-commercial purposes with full source code available. | MIT license allows free usage and modification with attribution. | | Categories | Data & Retrieval, Evaluation & Observability | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [presidio](/tools/data-privacy-stack-presidio.md) | [EnterpriseRAG-Bench](/tools/onyx-dot-app-enterpriserag-bench.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 16d | | Open issues (now) | 111 | 13 | | Stars delta | +423 (30d) | +73 (30d) | | Open issues delta | +9 (30d) | +4 (30d) | | Full report | [trust report](/tools/data-privacy-stack-presidio/trust.md) | [trust report](/tools/onyx-dot-app-enterpriserag-bench/trust.md) | ## Decision facts: presidio - **Pricing:** freemium - Open-source and freely usable as it relies on the MIT license; however, additional support services may incur costs. - **Requirements:** Requires Docker - **Adopt for:** 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. - **License detail:** MIT License for use under permissive terms that allows free usage for commercial or non-commercial purposes with full source code available. ## Decision facts: EnterpriseRAG-Bench - **Adopt for:** EnterpriseRAG-Bench specializes in benchmarking RAG models on company internal documents, offering specific evaluation metrics for enterprise-level data. - **License detail:** MIT license allows free usage and modification with attribution. ## Choose when ### 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. ### Choose EnterpriseRAG-Bench if… - Tags unique to EnterpriseRAG-Bench: benchmark, dataset, enterprise-search, evaluation. - When you need to evaluate retrieval-augmented generation models specifically for processing extensive and complex enterprise documentation - Leaner open-issue backlog (13). ## 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. ## When NOT to use EnterpriseRAG-Bench - Avoid if your focus is on general web or public-domain document benchmarking, as EnterpriseRAG-Bench is tuned exclusively for company internal documents - Do not use if you require a solution that supports languages other than those implied by the existing dataset without further customization ## Common questions ### What is the difference between presidio and EnterpriseRAG-Bench? presidio: A framework for detecting and anonymizing sensitive data. EnterpriseRAG-Bench: Dataset and benchmark for RAG on company internal documents. See the comparison table for live GitHub stats and shared categories. ### When should I choose presidio over EnterpriseRAG-Bench? Choose presidio over EnterpriseRAG-Bench 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 EnterpriseRAG-Bench over presidio? Choose EnterpriseRAG-Bench over presidio when Tags unique to EnterpriseRAG-Bench: benchmark, dataset, enterprise-search, evaluation; When you need to evaluate retrieval-augmented generation models specifically for processing extensive and complex enterprise documentation; Leaner open-issue backlog (13). ### 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 EnterpriseRAG-Bench? Avoid if your focus is on general web or public-domain document benchmarking, as EnterpriseRAG-Bench is tuned exclusively for company internal documents Do not use if you require a solution that supports languages other than those implied by the existing dataset without further customization ### Is presidio or EnterpriseRAG-Bench more popular on GitHub? presidio has more GitHub stars (10,818 vs 562). Stars measure visibility, not whether either tool fits your constraints. ### Are presidio and EnterpriseRAG-Bench open source? Yes - both are open-source projects on GitHub (presidio: MIT, EnterpriseRAG-Bench: MIT). ### Where can I find alternatives to presidio or EnterpriseRAG-Bench? GraphCanon lists graph-backed alternatives at [presidio alternatives](/tools/data-privacy-stack-presidio/alternatives) and [EnterpriseRAG-Bench alternatives](/tools/onyx-dot-app-enterpriserag-bench/alternatives) ([presidio markdown twin](/tools/data-privacy-stack-presidio/alternatives.md), [EnterpriseRAG-Bench markdown twin](/tools/onyx-dot-app-enterpriserag-bench/alternatives.md)), 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](/compare/data-privacy-stack-presidio-vs-onyx-dot-app-enterpriserag-bench.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, presidio or EnterpriseRAG-Bench? presidio: Very active. EnterpriseRAG-Bench: Active. 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 EnterpriseRAG-Bench? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [presidio trust report](/tools/data-privacy-stack-presidio/trust); [EnterpriseRAG-Bench trust report](/tools/onyx-dot-app-enterpriserag-bench/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=data-privacy-stack-presidio`](/api/graphcanon/graph?tool=data-privacy-stack-presidio) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_