Comparison
datatrove vs opendataloader-pdf
Verdict
Pick datatrove if datatrove is ideal for users needing platform-agnostic customizable pipeline blocks for data processing and transformation across various file formats with built-in support for distributed computing options; 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.
Markdown twin · datatrove alternatives · opendataloader-pdf alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | datatrove | opendataloader-pdf |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- datatrove
- Platform-agnostic customizable pipeline processing blocks for data processing and transformation.
- opendataloader-pdf
- PDF Parser for AI-ready data
Stars
- datatrove
- 3.3k
- opendataloader-pdf
- 29k
Forks
- datatrove
- 288
- opendataloader-pdf
- 2.7k
Open issues
- datatrove
- 93
- opendataloader-pdf
- 82
Language
- datatrove
- Python
- opendataloader-pdf
- Java
Adopt for
- datatrove
- Datatrove is ideal for users needing platform-agnostic customizable pipeline blocks for data processing and transformation across various file formats with built-in support for distributed computing options.
- 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.
Persona
- datatrove
- -
- opendataloader-pdf
- -
Runtime
- datatrove
- -
- opendataloader-pdf
- -
License
- datatrove
- Apache-2.0
- 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
Last pushed
- datatrove
- Aug 6, 2026
- opendataloader-pdf
- Aug 18, 2026
Categories
- datatrove
- Data & Retrieval, Inference & Serving, Model Training
- opendataloader-pdf
- Data & Retrieval, Model Training
Trust and health
Open issues (now)
- datatrove
- 93
- opendataloader-pdf
- 82
Stars delta
- datatrove
- Unknown
- opendataloader-pdf
- +1.1k (30d)
Open issues delta
- datatrove
- Unknown
- opendataloader-pdf
- +8 (30d)
Full report
- datatrove
- Trust report
- opendataloader-pdf
- Trust report
Choose datatrove if…
- datatrove is primarily Python; opendataloader-pdf is Java.
- Tags unique to datatrove: data-processing, distributed-computing, file-formats-support, pipelines.
- Also covers Inference & Serving.
- When you require a flexible configuration that allows for custom pipelines, supporting text extraction, tokenization, and multilingual text processing.
When NOT to use datatrove
- Avoid datatrove if you are not working within Python 3.10+, as it is not compatible with earlier versions.
- Do not use if you require real-time data processing functionalities that go beyond the package's current capabilities, such as streaming data handling.
Choose opendataloader-pdf if…
- opendataloader-pdf is primarily Java; datatrove is Python.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (huggingface/datatrove) · observed Aug 7, 2026
- GitHub forks (huggingface/datatrove) · observed Aug 7, 2026
- Last push (huggingface/datatrove) · observed Aug 6, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (opendataloader-project/opendataloader-pdf) · observed Aug 18, 2026
- GitHub forks (opendataloader-project/opendataloader-pdf) · observed Aug 18, 2026
- Last push (opendataloader-project/opendataloader-pdf) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: datatrove 3.3k · opendataloader-pdf 29k (synced Aug 7, 2026).
Common questions
- What is the difference between datatrove and opendataloader-pdf?
- datatrove: Platform-agnostic customizable pipeline processing blocks for data processing and transformation.. opendataloader-pdf: PDF Parser for AI-ready data. See the comparison table for live GitHub stats and shared categories.
- When should I choose datatrove over opendataloader-pdf?
- Choose datatrove over opendataloader-pdf when datatrove is primarily Python; opendataloader-pdf is Java; Tags unique to datatrove: data-processing, distributed-computing, file-formats-support, pipelines; Also covers Inference & Serving; When you require a flexible configuration that allows for custom pipelines, supporting text extraction, tokenization, and multilingual text processing.
- When should I choose opendataloader-pdf over datatrove?
- Choose opendataloader-pdf over datatrove when opendataloader-pdf is primarily Java; datatrove is Python; 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 avoid datatrove?
- Avoid datatrove if you are not working within Python 3.10+, as it is not compatible with earlier versions. Do not use if you require real-time data processing functionalities that go beyond the package's current capabilities, such as streaming data handling.
- 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.
- Is datatrove or opendataloader-pdf more popular on GitHub?
- opendataloader-pdf has more GitHub stars (28,528 vs 3,250). Stars measure visibility, not whether either tool fits your constraints.
- Are datatrove and opendataloader-pdf open source?
- Yes - both are open-source projects on GitHub (datatrove: Apache-2.0, opendataloader-pdf: Apache-2.0).
- Where can I find alternatives to datatrove or opendataloader-pdf?
- GraphCanon lists graph-backed alternatives at datatrove alternatives and opendataloader-pdf alternatives (datatrove markdown twin, opendataloader-pdf 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, datatrove or opendataloader-pdf?
- datatrove: Very active. opendataloader-pdf: 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 datatrove and opendataloader-pdf?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: datatrove trust report; opendataloader-pdf trust report.