Comparison
pdfmux vs llm-app
Verdict
Pick pdfmux if pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes; pick llm-app if llm-app offers cloud templates for RAG, AI pipelines, and enterprise search, supporting integration with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.
Markdown twin · pdfmux alternatives · llm-app alternatives
GraphCanon updated Sep 20, 2026
8views this month
Trust & integrity
| Signal | pdfmux | llm-app |
|---|---|---|
| Maintenance | Active (8d since push) As of Sep 20, 2026 · github_public_v1 | Steady (74d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- pdfmux
- PDF extraction with self-healing and cost-aware mechanisms
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data
Stars
- pdfmux
- 82
- llm-app
- 59k
Forks
- pdfmux
- 14
- llm-app
- 1.5k
Open issues
- pdfmux
- 4
- llm-app
- 8
Language
- pdfmux
- Python
- llm-app
- Jupyter Notebook
Adopt for
- pdfmux
- pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes.
- llm-app
- llm-app offers cloud templates for RAG, AI pipelines, and enterprise search, supporting integration with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.
Persona
- pdfmux
- -
- llm-app
- -
Runtime
- pdfmux
- -
- llm-app
- -
License
- pdfmux
- MIT
- llm-app
- MIT License
Last pushed
- pdfmux
- Sep 12, 2026
- llm-app
- Jul 5, 2026
Categories
- pdfmux
- Data & Retrieval, Evaluation & Observability
- llm-app
- Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training
Trust and health
Maintenance
- pdfmux
- Active (82%)
- llm-app
- Steady (60%)
Days since push
- pdfmux
- 8d
- llm-app
- 74d
Open issues (now)
- pdfmux
- 4
- llm-app
- 8
Stars delta
- pdfmux
- +3 (30d)
- llm-app
- -117 (30d)
Owner type
- pdfmux
- User
- llm-app
- Organization
Full report
- pdfmux
- Trust report
- llm-app
- Trust report
Choose pdfmux if…
- pdfmux is primarily Python; llm-app is Jupyter Notebook.
- 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 NOT to use pdfmux
- Require real-time GPU-based AI processing for speed.
- Working with non-PDF file formats as sole tool.
Choose llm-app if…
- llm-app is primarily Jupyter Notebook; pdfmux is Python.
- Pricing: The repository is open-source under the MIT License, but additional services or support might incur costs..
- Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for running the cloud templates.; Supports integration with a variety of data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs..
- Tags unique to llm-app: chatbot, hugging-face, llm, llm-local.
- Also covers Inference & Serving, Model Training.
- When you need ready-to-run cloud templates for RAG, AI pipelines, and enterprise search that integrate seamlessly with data sources such as Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-ti
When NOT to use llm-app
- Avoid using llm-app if your project does not require integration with specific data sources like Sharepoint or Google Drive, as the tool's strength lies in its broad data source support.
- Do not use llm-app if you are looking for a tool that focuses solely on model training or inference without the need for cloud templates or enterprise search capabilities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (NameetP/pdfmux) · observed Sep 20, 2026
- GitHub forks (NameetP/pdfmux) · observed Sep 20, 2026
- Last push (NameetP/pdfmux) · observed Sep 12, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pathwaycom/llm-app) · observed Sep 20, 2026
- GitHub forks (pathwaycom/llm-app) · observed Sep 20, 2026
- Last push (pathwaycom/llm-app) · observed Jul 5, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: pdfmux 82 · llm-app 59k (synced Sep 20, 2026).
Common questions
- What is the difference between pdfmux and llm-app?
- pdfmux: PDF extraction with self-healing and cost-aware mechanisms. llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. See the comparison table for live GitHub stats and shared categories.
- When should I choose pdfmux over llm-app?
- Choose pdfmux over llm-app when pdfmux is primarily Python; llm-app is Jupyter Notebook; 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 llm-app over pdfmux?
- Choose llm-app over pdfmux when llm-app is primarily Jupyter Notebook; pdfmux is Python; Pricing: The repository is open-source under the MIT License, but additional services or support might incur costs.; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for running the cloud templates.; Supports integration with a variety of data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.; Tags unique to llm-app: chatbot, hugging-face, llm, llm-local; Also covers Inference & Serving, Model Training; When you need ready-to-run cloud templates for RAG, AI pipelines, and enterprise search that integrate seamlessly with data sources such as Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-ti.
- 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 llm-app?
- Avoid using llm-app if your project does not require integration with specific data sources like Sharepoint or Google Drive, as the tool's strength lies in its broad data source support. Do not use llm-app if you are looking for a tool that focuses solely on model training or inference without the need for cloud templates or enterprise search capabilities.
- Is pdfmux or llm-app more popular on GitHub?
- llm-app has more GitHub stars (58,920 vs 82). Stars measure visibility, not whether either tool fits your constraints.
- Are pdfmux and llm-app open source?
- Yes - both are open-source projects on GitHub (pdfmux: MIT, llm-app: MIT).
- Where can I find alternatives to pdfmux or llm-app?
- GraphCanon lists graph-backed alternatives at pdfmux alternatives and llm-app alternatives (pdfmux markdown twin, llm-app 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, pdfmux or llm-app?
- pdfmux: Active. llm-app: 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 llm-app?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pdfmux trust report; llm-app trust report.