Comparison
pdfmux vs awesome
Verdict
Pick pdfmux when license: pdfmux is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, pdfmux is MIT.
Markdown twin · pdfmux alternatives · awesome alternatives
GraphCanon updated today
Trust & integrity
| Signal | pdfmux | awesome |
|---|---|---|
| Maintenance | Very active (3d since push) As of today · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | 1 medium (1 medium) As of today · mcp_manifest@v1 | No lockfile As of today · none |
Tagline
- pdfmux
- Zero-cost PDF extraction with self-healing and OCR support.
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- pdfmux
- 74
- awesome
- 484k
Forks
- pdfmux
- 12
- awesome
- 36k
Open issues
- pdfmux
- 6
- awesome
- 92
Language
- pdfmux
- Python
- awesome
- -
Adopt for
- pdfmux
- -
- awesome
- -
Persona
- pdfmux
- -
- awesome
- -
Runtime
- pdfmux
- -
- awesome
- -
License
- pdfmux
- MIT
- awesome
- CC0-1.0
Last pushed
- pdfmux
- Jul 7, 2026
- awesome
- Jun 30, 2026
Categories
- pdfmux
- Model Training, Data & Retrieval
- awesome
- LLM Frameworks
Trust and health
Maintenance
- pdfmux
- Very active (96%)
- awesome
- Active (82%)
Days since push
- pdfmux
- 3d
- awesome
- 11d
Open issues (now)
- pdfmux
- 6
- awesome
- 92
Security scan
- pdfmux
- 1 medium (1 medium)
- awesome
- No lockfile
Full report
- pdfmux
- Trust report
- awesome
- Trust report
Choose pdfmux if…
- License: pdfmux is MIT, awesome is CC0-1.0.
- Tags unique to pdfmux: docling, llm, ocr, pdf-extraction.
- Also covers Model Training, Data & Retrieval.
- pdfmux ships Docker support for self-hosted deployment.
When NOT to use pdfmux
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
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 Jul 11, 2026
- GitHub forks (NameetP/pdfmux) · observed Jul 11, 2026
- Last push (NameetP/pdfmux) · observed Jul 7, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: pdfmux 74 · awesome 484k (synced Jul 11, 2026).
Common questions
- What is the difference between pdfmux and awesome?
- pdfmux: Zero-cost PDF extraction with self-healing and OCR support.. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories.
- When should I choose pdfmux over awesome?
- Choose pdfmux over awesome when License: pdfmux is MIT, awesome is CC0-1.0; Tags unique to pdfmux: docling, llm, ocr, pdf-extraction; Also covers Model Training, Data & Retrieval; pdfmux ships Docker support for self-hosted deployment.
- When should I choose awesome over pdfmux?
- Choose awesome over pdfmux when License: awesome is CC0-1.0, pdfmux is MIT; Tags unique to awesome: resources, awesome-list; Also covers LLM Frameworks.
- When should I avoid pdfmux?
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.
- When should I avoid awesome?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is pdfmux or awesome more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 74). Stars measure visibility, not whether either tool fits your constraints.
- Are pdfmux and awesome open source?
- Yes - both are open-source projects on GitHub (pdfmux: MIT, awesome: CC0-1.0).
- Where can I find alternatives to pdfmux or awesome?
- GraphCanon lists graph-backed alternatives at pdfmux alternatives and awesome alternatives (pdfmux markdown twin, awesome 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 awesome?
- pdfmux: Very active. awesome: 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 pdfmux and awesome?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pdfmux trust report; awesome trust report.