--- title: "data-juicer vs llama-hub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/datajuicer-data-juicer-vs-run-llama-llama-hub" tools: ["datajuicer-data-juicer", "run-llama-llama-hub"] --- # data-juicer vs llama-hub *GraphCanon updated Aug 17, 2026* ## 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. [data-juicer](https://datajuicer.github.io/data-juicer/) reports 6.9k GitHub stars, 404 forks, and 59 open issues, last pushed Aug 13, 2026. [llama-hub](https://llamahub.ai/) has 3.5k stars, 721 forks, and 96 open issues, last pushed Mar 1, 2024. Figures are from public GitHub metadata via [data-juicer's repository](https://github.com/datajuicer/data-juicer) and [llama-hub's repository](https://github.com/run-llama/llama-hub). | | [data-juicer](/tools/datajuicer-data-juicer.md) | [llama-hub](/tools/run-llama-llama-hub.md) | | --- | --- | --- | | Tagline | Data processing for and with foundation models | A library of data loaders for LLMs made by the community | | Stars | 6,897 | 3,469 | | Forks | 404 | 721 | | Open issues | 59 | 96 | | Language | Python | Jupyter Notebook | | Adopt for | A Python library for foundational AI model data processing, offering a pipeline for tasks like instruction tuning and synthetic data generation. | community-driven data loaders for LlamaIndex/LangChain | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Data & Retrieval, Model Training | Data & Retrieval, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [data-juicer](/tools/datajuicer-data-juicer.md) | [llama-hub](/tools/run-llama-llama-hub.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 4d | 889d | | Archived on GitHub | No | Yes | | Open issues (now) | 59 | 96 | | Stars delta | +166 (30d) | Unknown | | Open issues delta | -3 (30d) | Unknown | | Full report | [trust report](/tools/datajuicer-data-juicer/trust.md) | [trust report](/tools/run-llama-llama-hub/trust.md) | ## Shared compatibility - **Python**: [data-juicer](/tools/datajuicer-data-juicer.md) - Python runtime; [llama-hub](/tools/run-llama-llama-hub.md) - Python runtime ## Decision facts: data-juicer - **Adopt for:** A Python library for foundational AI model data processing, offering a pipeline for tasks like instruction tuning and synthetic data generation. ## Decision facts: llama-hub - **Adopt for:** community-driven data loaders for LlamaIndex/LangChain ## Choose when ### 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. ### 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 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 NOT to use llama-hub - Limited support if the community lacks activity - Not suitable without familiarity with Poetry for dependency management ## 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](/tools/datajuicer-data-juicer/alternatives) and [llama-hub alternatives](/tools/run-llama-llama-hub/alternatives) ([data-juicer markdown twin](/tools/datajuicer-data-juicer/alternatives.md), [llama-hub markdown twin](/tools/run-llama-llama-hub/alternatives.md)), 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](/compare/datajuicer-data-juicer-vs-run-llama-llama-hub.md) 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](/tools/datajuicer-data-juicer/trust); [llama-hub trust report](/tools/run-llama-llama-hub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=datajuicer-data-juicer`](/api/graphcanon/graph?tool=datajuicer-data-juicer) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_