Comparison
opendataloader-pdf vs llm-app
Verdict
Pick opendataloader-pdf if opendataloader-pdf is an open-source PDF parsing library in Java that transforms PDFs into AI-ready data by supporting OCR recognition, bounding box generation, and table extraction; 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 · opendataloader-pdf alternatives · llm-app alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | opendataloader-pdf | llm-app |
|---|---|---|
| Maintenance | Very active (0d since push) As of Aug 18, 2026 · github_public_v1 | Steady (74d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 18, 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
- opendataloader-pdf
- PDF Parser for AI-ready data
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data
Stars
- opendataloader-pdf
- 29k
- llm-app
- 59k
Forks
- opendataloader-pdf
- 2.7k
- llm-app
- 1.5k
Open issues
- opendataloader-pdf
- 82
- llm-app
- 8
Language
- opendataloader-pdf
- Java
- llm-app
- Jupyter Notebook
Adopt for
- opendataloader-pdf
- Opendataloader-pdf is an open-source PDF parsing library in Java that transforms PDFs into AI-ready data by supporting OCR recognition, bounding box generation, and table extraction.
- 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
- opendataloader-pdf
- -
- llm-app
- -
Runtime
- opendataloader-pdf
- -
- llm-app
- -
License
- opendataloader-pdf
- Opendataloader-pdf uses Apache License 2.0, making it a fully permissive license that allows easy integration into commercial projects without copyleft obligations. Prior to version 2.0, the tool was
- llm-app
- MIT License
Last pushed
- opendataloader-pdf
- Aug 18, 2026
- llm-app
- Jul 5, 2026
Categories
- opendataloader-pdf
- Data & Retrieval, Model Training
- llm-app
- Data & Retrieval, Evaluation & Observability, Inference & Serving, Model Training
Trust and health
Maintenance
- opendataloader-pdf
- Very active (96%)
- llm-app
- Steady (60%)
Days since push
- opendataloader-pdf
- 0d
- llm-app
- 74d
Open issues (now)
- opendataloader-pdf
- 82
- llm-app
- 8
Stars delta
- opendataloader-pdf
- +1.1k (30d)
- llm-app
- -117 (30d)
Open issues delta
- opendataloader-pdf
- +8 (30d)
- llm-app
- 0 (30d)
Full report
- opendataloader-pdf
- Trust report
- llm-app
- Trust report
Choose opendataloader-pdf if…
- opendataloader-pdf is primarily Java; llm-app is Jupyter Notebook.
- License: opendataloader-pdf is Apache-2.0, llm-app is MIT.
- Tags unique to opendataloader-pdf: a11y, accessibility, ai, bounding-box.
- - **You require precise control:** Opendataloader-pdf offers detailed features such as bounding box generation and table extraction, which can be crucial when you need precise data positioning from un
When NOT to use opendataloader-pdf
- - **Non-Java Environment:** Since the tool is primarily developed in Java, it might not be suitable if your primary development environment or application is built around another language.
Choose llm-app if…
- llm-app is primarily Jupyter Notebook; opendataloader-pdf is Java.
- License: llm-app is MIT, opendataloader-pdf is Apache-2.0.
- 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 Evaluation & Observability, Inference & Serving.
- 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 (opendataloader-project/opendataloader-pdf) · observed Sep 20, 2026
- GitHub forks (opendataloader-project/opendataloader-pdf) · observed Sep 20, 2026
- Last push (opendataloader-project/opendataloader-pdf) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 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: opendataloader-pdf 29k · llm-app 59k (synced Sep 20, 2026).
Common questions
- What is the difference between opendataloader-pdf and llm-app?
- opendataloader-pdf: PDF Parser for AI-ready data. 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 opendataloader-pdf over llm-app?
- Choose opendataloader-pdf over llm-app when opendataloader-pdf is primarily Java; llm-app is Jupyter Notebook; License: opendataloader-pdf is Apache-2.0, llm-app is MIT; Tags unique to opendataloader-pdf: a11y, accessibility, ai, bounding-box; - **You require precise control:** Opendataloader-pdf offers detailed features such as bounding box generation and table extraction, which can be crucial when you need precise data positioning from un.
- When should I choose llm-app over opendataloader-pdf?
- Choose llm-app over opendataloader-pdf when llm-app is primarily Jupyter Notebook; opendataloader-pdf is Java; License: llm-app is MIT, opendataloader-pdf is Apache-2.0; 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 Evaluation & Observability, Inference & Serving; 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 opendataloader-pdf?
- - **Non-Java Environment:** Since the tool is primarily developed in Java, it might not be suitable if your primary development environment or application is built around another language.
- 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 opendataloader-pdf or llm-app more popular on GitHub?
- llm-app has more GitHub stars (58,920 vs 28,528). Stars measure visibility, not whether either tool fits your constraints.
- Are opendataloader-pdf and llm-app open source?
- Yes - both are open-source projects on GitHub (opendataloader-pdf: Apache-2.0, llm-app: MIT).
- Where can I find alternatives to opendataloader-pdf or llm-app?
- GraphCanon lists graph-backed alternatives at opendataloader-pdf alternatives and llm-app alternatives (opendataloader-pdf 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, opendataloader-pdf or llm-app?
- opendataloader-pdf: Very 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 opendataloader-pdf and llm-app?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: opendataloader-pdf trust report; llm-app trust report.