Comparison
datatrove vs llama-hub
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 llama-hub if community-driven data loaders for LlamaIndex/LangChain.
Markdown twin · datatrove alternatives · llama-hub alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | datatrove | llama-hub |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Archived (889d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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.
- llama-hub
- A library of data loaders for LLMs made by the community
Stars
- datatrove
- 3.3k
- llama-hub
- 3.5k
Forks
- datatrove
- 288
- llama-hub
- 721
Open issues
- datatrove
- 93
- llama-hub
- 96
Language
- datatrove
- Python
- llama-hub
- Jupyter Notebook
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.
- llama-hub
- community-driven data loaders for LlamaIndex/LangChain
Persona
- datatrove
- -
- llama-hub
- -
Runtime
- datatrove
- -
- llama-hub
- -
License
- datatrove
- Apache-2.0
- llama-hub
- MIT
Last pushed
- datatrove
- Aug 6, 2026
- llama-hub
- Mar 1, 2024
Categories
- datatrove
- Data & Retrieval, Inference & Serving, Model Training
- llama-hub
- Data & Retrieval, Model Training
Trust and health
Maintenance
- datatrove
- Very active (96%)
- llama-hub
- Archived (8%)
Days since push
- datatrove
- 0d
- llama-hub
- 889d
Archived on GitHub
- datatrove
- No
- llama-hub
- Yes
Open issues (now)
- datatrove
- 93
- llama-hub
- 96
OSV dependency advisories
- datatrove
- No lockfile (source not queried)
- llama-hub
- Published findings
Full report
- datatrove
- Trust report
- llama-hub
- Trust report
Shared compatibility
- Python · datatrove: Python runtime · llama-hub: Python runtime
Choose datatrove if…
- datatrove is primarily Python; llama-hub is Jupyter Notebook.
- License: datatrove is Apache-2.0, llama-hub is MIT.
- 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 llama-hub if…
- llama-hub is primarily Jupyter Notebook; datatrove is Python.
- License: llama-hub is MIT, datatrove is Apache-2.0.
- Tags unique to llama-hub: community-driven, jupyter-notebook, langchain, llamaindex.
- Community-specific features require engagement with community
When NOT to use llama-hub
- Limited support if the community lacks activity
- Not suitable without familiarity with Poetry for dependency management
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 (run-llama/llama-hub) · observed Aug 8, 2026
- GitHub forks (run-llama/llama-hub) · observed Aug 8, 2026
- Last push (run-llama/llama-hub) · observed Mar 1, 2024
- License file (MIT) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: datatrove 3.3k · llama-hub 3.5k (synced Aug 7, 2026).
Common questions
- What is the difference between datatrove and llama-hub?
- datatrove: Platform-agnostic customizable pipeline processing blocks for data processing and transformation.. llama-hub: A library of data loaders for LLMs made by the community. See the comparison table for live GitHub stats and shared categories.
- When should I choose datatrove over llama-hub?
- Choose datatrove over llama-hub when datatrove is primarily Python; llama-hub is Jupyter Notebook; License: datatrove is Apache-2.0, llama-hub is MIT; 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 llama-hub over datatrove?
- Choose llama-hub over datatrove when llama-hub is primarily Jupyter Notebook; datatrove is Python; License: llama-hub is MIT, datatrove is Apache-2.0; Tags unique to llama-hub: community-driven, jupyter-notebook, langchain, llamaindex; Community-specific features require engagement with community.
- 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 llama-hub?
- Limited support if the community lacks activity Not suitable without familiarity with Poetry for dependency management
- Is datatrove or llama-hub more popular on GitHub?
- llama-hub has more GitHub stars (3,469 vs 3,250). Stars measure visibility, not whether either tool fits your constraints.
- Are datatrove and llama-hub open source?
- Yes - both are open-source projects on GitHub (datatrove: Apache-2.0, llama-hub: MIT).
- Where can I find alternatives to datatrove or llama-hub?
- GraphCanon lists graph-backed alternatives at datatrove alternatives and llama-hub alternatives (datatrove markdown twin, llama-hub 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 llama-hub?
- datatrove: Very active. llama-hub: Archived. 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 llama-hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: datatrove trust report; llama-hub trust report.