--- title: "langchain vs pdfmux" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-langchain-vs-nameetp-pdfmux" tools: ["langchain-ai-langchain", "nameetp-pdfmux"] --- # langchain vs pdfmux *GraphCanon updated Jul 12, 2026* ## Verdict Pick langchain when pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; pick pdfmux when tags unique to pdfmux: ai-agent, docling, document-parsing, llm. [langchain](https://docs.langchain.com/langchain/) reports 142k GitHub stars, 24k forks, and 419 open issues, last pushed Jul 11, 2026. [pdfmux](https://pdfmux.com) has 74 stars, 12 forks, and 6 open issues, last pushed Jul 7, 2026. Figures are from public GitHub metadata via [langchain's repository](https://github.com/langchain-ai/langchain) and [pdfmux's repository](https://github.com/NameetP/pdfmux). | | [langchain](/tools/langchain-ai-langchain.md) | [pdfmux](/tools/nameetp-pdfmux.md) | | --- | --- | --- | | Tagline | The agent engineering platform. | Zero-cost PDF extraction with self-healing and OCR support. | | Stars | 141,504 | 74 | | Forks | 23,516 | 12 | | Open issues | 419 | 6 | | Language | Python | Python | | Adopt for | LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect | - | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing free use for both personal and commercial purposes under its stipulated terms. | MIT | | Categories | AI Agents, LLM Frameworks | Data & Retrieval, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain](/tools/langchain-ai-langchain.md) | [pdfmux](/tools/nameetp-pdfmux.md) | | --- | --- | --- | | Days since push | 0d | 3d | | Open issues (now) | 419 | 6 | | Owner type | Organization | User | | Security scan | No lockfile | 1 medium (1 medium) | | Full report | [trust report](/tools/langchain-ai-langchain/trust.md) | [trust report](/tools/nameetp-pdfmux/trust.md) | ## Shared compatibility - **Python**: [langchain](/tools/langchain-ai-langchain.md) - Python runtime; [pdfmux](/tools/nameetp-pdfmux.md) - Python runtime ## Decision facts: langchain - **Pricing:** freemium - LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI. - **Adopt for:** LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect - **License detail:** MIT License, allowing free use for both personal and commercial purposes under its stipulated terms. ## Choose when ### Choose langchain if… - Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.. - Tags unique to langchain: agents, ai-agents, anthropic, chatgpt. - Also covers AI Agents, LLM Frameworks. - * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations. ### Choose pdfmux if… - Tags unique to pdfmux: ai-agent, docling, document-parsing, llm. - Also covers Data & Retrieval, Model Training. - pdfmux ships Docker support for self-hosted deployment. ## When NOT to use langchain - * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. - * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth - * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework. ## When NOT to use pdfmux - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between langchain and pdfmux? langchain: The agent engineering platform.. pdfmux: Zero-cost PDF extraction with self-healing and OCR support.. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain over pdfmux? Choose langchain over pdfmux when Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; Tags unique to langchain: agents, ai-agents, anthropic, chatgpt; Also covers AI Agents, LLM Frameworks; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations. ### When should I choose pdfmux over langchain? Choose pdfmux over langchain when Tags unique to pdfmux: ai-agent, docling, document-parsing, llm; Also covers Data & Retrieval, Model Training; pdfmux ships Docker support for self-hosted deployment. ### When should I avoid langchain? * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework. ### When should I avoid pdfmux? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is langchain or pdfmux more popular on GitHub? langchain has more GitHub stars (141,504 vs 74). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain and pdfmux open source? Yes - both are open-source projects on GitHub (langchain: MIT, pdfmux: MIT). ### Where can I find alternatives to langchain or pdfmux? GraphCanon lists graph-backed alternatives at [langchain alternatives](/tools/langchain-ai-langchain/alternatives) and [pdfmux alternatives](/tools/nameetp-pdfmux/alternatives) ([langchain markdown twin](/tools/langchain-ai-langchain/alternatives.md), [pdfmux markdown twin](/tools/nameetp-pdfmux/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/langchain-ai-langchain-vs-nameetp-pdfmux.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain or pdfmux? langchain: Very active. pdfmux: Very 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 langchain and pdfmux? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain trust report](/tools/langchain-ai-langchain/trust); [pdfmux trust report](/tools/nameetp-pdfmux/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-langchain`](/api/graphcanon/graph?tool=langchain-ai-langchain) - 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/_