Comparison
data-juicer vs llama-hub
Verdict
Pick data-juicer if a Python library for foundational AI model data processing, offering a pipeline for tasks like instruction tuning and synthetic data generation; pick llama-hub if community-driven data loaders for LlamaIndex/LangChain.
Markdown twin · data-juicer alternatives · llama-hub alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | data-juicer | llama-hub |
|---|---|---|
| Maintenance | Very active (4d since push) As of 6d · github_public_v1 | Archived (889d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · 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
- data-juicer
- Data processing for and with foundation models
- llama-hub
- A library of data loaders for LLMs made by the community
Stars
- data-juicer
- 6.9k
- llama-hub
- 3.5k
Forks
- data-juicer
- 404
- llama-hub
- 721
Open issues
- data-juicer
- 59
- llama-hub
- 96
Language
- data-juicer
- Python
- llama-hub
- Jupyter Notebook
Adopt for
- data-juicer
- A Python library for foundational AI model data processing, offering a pipeline for tasks like instruction tuning and synthetic data generation.
- llama-hub
- community-driven data loaders for LlamaIndex/LangChain
Persona
- data-juicer
- -
- llama-hub
- -
Runtime
- data-juicer
- -
- llama-hub
- -
License
- data-juicer
- Apache-2.0
- llama-hub
- MIT
Last pushed
- data-juicer
- Aug 13, 2026
- llama-hub
- Mar 1, 2024
Categories
- data-juicer
- Data & Retrieval, Model Training
- llama-hub
- Data & Retrieval, Model Training
Trust and health
Maintenance
- data-juicer
- Very active (96%)
- llama-hub
- Archived (8%)
Days since push
- data-juicer
- 4d
- llama-hub
- 889d
Archived on GitHub
- data-juicer
- No
- llama-hub
- Yes
Open issues (now)
- data-juicer
- 59
- llama-hub
- 96
Stars delta
- data-juicer
- +166 (30d)
- llama-hub
- Unknown
Open issues delta
- data-juicer
- -3 (30d)
- llama-hub
- Unknown
OSV dependency advisories
- data-juicer
- No lockfile (source not queried)
- llama-hub
- Published findings
Full report
- data-juicer
- Trust report
- llama-hub
- Trust report
Shared compatibility
- Python · data-juicer: Python runtime · llama-hub: Python runtime
Choose data-juicer if…
- data-juicer is primarily Python; llama-hub is Jupyter Notebook.
- License: data-juicer is Apache-2.0, llama-hub is MIT.
- Tags unique to data-juicer: foundation-models, instruction-tuning, large language models, llm.
- data-juicer ships Docker support for self-hosted deployment.
- When you need to preprocess large datasets specifically for training large language models (LLMs) with pipelines that support sophisticated processes like instruction tuning.
When NOT to use data-juicer
- If your project does not involve foundational AI model training or if you do not require advanced data processing capabilities such as synthetic data generation.
Choose llama-hub if…
- llama-hub is primarily Jupyter Notebook; data-juicer is Python.
- License: llama-hub is MIT, data-juicer 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 (datajuicer/data-juicer) · observed Aug 17, 2026
- GitHub forks (datajuicer/data-juicer) · observed Aug 17, 2026
- Last push (datajuicer/data-juicer) · observed Aug 13, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 12, 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: data-juicer 6.9k · llama-hub 3.5k (synced Aug 17, 2026).
Common questions
- What is the difference between data-juicer and llama-hub?
- data-juicer: Data processing for and with foundation models. 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 data-juicer over llama-hub?
- Choose data-juicer over llama-hub when data-juicer is primarily Python; llama-hub is Jupyter Notebook; License: data-juicer is Apache-2.0, llama-hub is MIT; Tags unique to data-juicer: foundation-models, instruction-tuning, large language models, llm; data-juicer ships Docker support for self-hosted deployment; When you need to preprocess large datasets specifically for training large language models (LLMs) with pipelines that support sophisticated processes like instruction tuning.
- When should I choose llama-hub over data-juicer?
- Choose llama-hub over data-juicer when llama-hub is primarily Jupyter Notebook; data-juicer is Python; License: llama-hub is MIT, data-juicer 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 data-juicer?
- If your project does not involve foundational AI model training or if you do not require advanced data processing capabilities such as synthetic data generation.
- When should I avoid llama-hub?
- Limited support if the community lacks activity Not suitable without familiarity with Poetry for dependency management
- Is data-juicer or llama-hub more popular on GitHub?
- data-juicer has more GitHub stars (6,897 vs 3,469). Stars measure visibility, not whether either tool fits your constraints.
- Are data-juicer and llama-hub open source?
- Yes - both are open-source projects on GitHub (data-juicer: Apache-2.0, llama-hub: MIT).
- Where can I find alternatives to data-juicer or llama-hub?
- GraphCanon lists graph-backed alternatives at data-juicer alternatives and llama-hub alternatives (data-juicer 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, data-juicer or llama-hub?
- data-juicer: 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 data-juicer and llama-hub?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: data-juicer trust report; llama-hub trust report.