Home/Compare/ragtune vs pdfmux

Comparison

ragtune vs pdfmux

Verdict

Pick ragtune if ragtune is a Go-based benchmarking tool for RAG retrieval systems that allows users to inspect, debug, benchmark, and tune the retrieval layer; pick pdfmux if pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes.

Markdown twin · ragtune alternatives · pdfmux alternatives

GraphCanon updated 1w

ragtune logo

ragtune

metawake/ragtune

13pushed Mar 25, 2026
vs
pdfmux logo

pdfmux

NameetP/pdfmux

79pushed Aug 13, 2026

Trust & integrity

Signalragtunepdfmux
Maintenance
Slowing (129d since push)
As of 3w · github_public_v1
Very active (1d since push)
As of 1w · github_public_v1
Provenance
Not a fork · Personal account
As of 3w · github_public_v1
Not a fork · Personal account
As of 1w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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

ragtune
Benchmarking tool for RAG retrieval, aiding in tuning and evaluating retrieval layers
pdfmux
PDF extraction with self-healing and cost-aware mechanisms

Stars

ragtune
13
pdfmux
79

Forks

ragtune
1
pdfmux
12

Open issues

ragtune
0
pdfmux
4

Language

ragtune
Go
pdfmux
Python

Adopt for

ragtune
Ragtune is a Go-based benchmarking tool for RAG retrieval systems that allows users to inspect, debug, benchmark, and tune the retrieval layer.
pdfmux
pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes.

Persona

ragtune
-
pdfmux
-

Runtime

ragtune
-
pdfmux
-

License

ragtune
MIT
pdfmux
MIT

Last pushed

ragtune
Mar 25, 2026
pdfmux
Aug 13, 2026

Categories

ragtune
Data & Retrieval, Evaluation & Observability
pdfmux
Data & Retrieval, Evaluation & Observability

Trust and health

Maintenance

ragtune
Slowing (36%)
pdfmux
Very active (96%)

Days since push

ragtune
129d
pdfmux
1d

Open issues (now)

ragtune
0
pdfmux
4

Stars delta

ragtune
Unknown
pdfmux
+3 (30d)

Open issues delta

ragtune
Unknown
pdfmux
-2 (30d)

OSV dependency advisories

ragtune
Published findings
pdfmux
No lockfile (source not queried)

Full report

Choose ragtune if…

  • ragtune is primarily Go; pdfmux is Python.
  • Tags unique to ragtune: benchmarking, embeddings, metrics, retrieval-augmented-generation.
  • For organizations using multiple vector search engines like Chroma or Pinecone because Ragtune supports them directly.

When NOT to use ragtune

  • If your project relies on languages other than Go, as Ragtune might not integrate smoothly without additional effort.
  • When the primary focus of retrieval layer tuning lies outside supported vector search engines like Chroma or Qdrant and no customization can be applied via the tool.

Choose pdfmux if…

  • pdfmux is primarily Python; ragtune is Go.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: ragtune 13 · pdfmux 79 (synced Aug 2, 2026).

Common questions

What is the difference between ragtune and pdfmux?
ragtune: Benchmarking tool for RAG retrieval, aiding in tuning and evaluating retrieval layers. pdfmux: PDF extraction with self-healing and cost-aware mechanisms. See the comparison table for live GitHub stats and shared categories.
When should I choose ragtune over pdfmux?
Choose ragtune over pdfmux when ragtune is primarily Go; pdfmux is Python; Tags unique to ragtune: benchmarking, embeddings, metrics, retrieval-augmented-generation; For organizations using multiple vector search engines like Chroma or Pinecone because Ragtune supports them directly.
When should I choose pdfmux over ragtune?
Choose pdfmux over ragtune when pdfmux is primarily Python; ragtune is Go; 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 avoid ragtune?
If your project relies on languages other than Go, as Ragtune might not integrate smoothly without additional effort. When the primary focus of retrieval layer tuning lies outside supported vector search engines like Chroma or Qdrant and no customization can be applied via the tool.
When should I avoid pdfmux?
Require real-time GPU-based AI processing for speed. Working with non-PDF file formats as sole tool.
Is ragtune or pdfmux more popular on GitHub?
pdfmux has more GitHub stars (79 vs 13). Stars measure visibility, not whether either tool fits your constraints.
Are ragtune and pdfmux open source?
Yes - both are open-source projects on GitHub (ragtune: MIT, pdfmux: MIT).
Where can I find alternatives to ragtune or pdfmux?
GraphCanon lists graph-backed alternatives at ragtune alternatives and pdfmux alternatives (ragtune markdown twin, pdfmux 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, ragtune or pdfmux?
ragtune: Slowing. 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 ragtune and pdfmux?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ragtune trust report; pdfmux trust report.

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