--- title: "pdfmux vs EnterpriseRAG-Bench" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nameetp-pdfmux-vs-onyx-dot-app-enterpriserag-bench" tools: ["nameetp-pdfmux", "onyx-dot-app-enterpriserag-bench"] --- # pdfmux vs EnterpriseRAG-Bench *GraphCanon updated Aug 15, 2026* ## Verdict Pick pdfmux if pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes; pick EnterpriseRAG-Bench if enterpriseRAG-Bench specializes in benchmarking RAG models on company internal documents, offering specific evaluation metrics for enterprise-level data. [pdfmux](https://pdfmux.com) reports 79 GitHub stars, 12 forks, and 4 open issues, last pushed Aug 13, 2026. [EnterpriseRAG-Bench](https://www.onyx.app/) has 489 stars, 52 forks, and 9 open issues, last pushed May 8, 2026. Figures are from public GitHub metadata via [pdfmux's repository](https://github.com/NameetP/pdfmux) and [EnterpriseRAG-Bench's repository](https://github.com/onyx-dot-app/EnterpriseRAG-Bench). | | [pdfmux](/tools/nameetp-pdfmux.md) | [EnterpriseRAG-Bench](/tools/onyx-dot-app-enterpriserag-bench.md) | | --- | --- | --- | | Tagline | PDF extraction with self-healing and cost-aware mechanisms | Dataset and benchmark for RAG on company internal documents | | Stars | 79 | 489 | | Forks | 12 | 52 | | Open issues | 4 | 9 | | Language | Python | - | | Adopt for | pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. | EnterpriseRAG-Bench specializes in benchmarking RAG models on company internal documents, offering specific evaluation metrics for enterprise-level data. | | Persona | - | - | | Runtime | - | - | | License | MIT | 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._ | | [pdfmux](/tools/nameetp-pdfmux.md) | [EnterpriseRAG-Bench](/tools/onyx-dot-app-enterpriserag-bench.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 1d | 81d | | Open issues (now) | 4 | 9 | | Stars delta | +3 (30d) | Unknown | | Open issues delta | -2 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/nameetp-pdfmux/trust.md) | [trust report](/tools/onyx-dot-app-enterpriserag-bench/trust.md) | ## Decision facts: pdfmux - **Adopt for:** pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. ## 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 pdfmux if… - Tags unique to pdfmux: ocr, pdf-extraction, self-healing, structured-extraction. - pdfmux ships Docker support for self-hosted deployment. - You need high accuracy without LLMs or GPUs. ### 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 - More GitHub stars (489 vs 79) - visibility, not fit. ## When NOT to use pdfmux - Require real-time GPU-based AI processing for speed. - Working with non-PDF file formats as sole tool. ## 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 pdfmux and EnterpriseRAG-Bench? pdfmux: PDF extraction with self-healing and cost-aware mechanisms. 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 pdfmux over EnterpriseRAG-Bench? Choose pdfmux over EnterpriseRAG-Bench when Tags unique to pdfmux: ocr, pdf-extraction, self-healing, structured-extraction; pdfmux ships Docker support for self-hosted deployment; You need high accuracy without LLMs or GPUs. ### When should I choose EnterpriseRAG-Bench over pdfmux? Choose EnterpriseRAG-Bench over pdfmux 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; More GitHub stars (489 vs 79) - visibility, not fit. ### When should I avoid pdfmux? Require real-time GPU-based AI processing for speed. Working with non-PDF file formats as sole tool. ### 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 pdfmux or EnterpriseRAG-Bench more popular on GitHub? EnterpriseRAG-Bench has more GitHub stars (489 vs 79). Stars measure visibility, not whether either tool fits your constraints. ### Are pdfmux and EnterpriseRAG-Bench open source? Yes - both are open-source projects on GitHub (pdfmux: MIT, EnterpriseRAG-Bench: MIT). ### Where can I find alternatives to pdfmux or EnterpriseRAG-Bench? GraphCanon lists graph-backed alternatives at [pdfmux alternatives](/tools/nameetp-pdfmux/alternatives) and [EnterpriseRAG-Bench alternatives](/tools/onyx-dot-app-enterpriserag-bench/alternatives) ([pdfmux markdown twin](/tools/nameetp-pdfmux/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/nameetp-pdfmux-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, pdfmux or EnterpriseRAG-Bench? pdfmux: Very active. EnterpriseRAG-Bench: Steady. 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 pdfmux and EnterpriseRAG-Bench? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pdfmux trust report](/tools/nameetp-pdfmux/trust); [EnterpriseRAG-Bench trust report](/tools/onyx-dot-app-enterpriserag-bench/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nameetp-pdfmux`](/api/graphcanon/graph?tool=nameetp-pdfmux) - 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/_