--- title: "llama-hub vs FastDatasets" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/run-llama-llama-hub-vs-zhulinsen-fastdatasets" tools: ["run-llama-llama-hub", "zhulinsen-fastdatasets"] --- # llama-hub vs FastDatasets *GraphCanon updated Aug 8, 2026* ## Verdict Pick llama-hub if community-driven data loaders for LlamaIndex/LangChain; pick FastDatasets if fastDatasets is designed to aid in generating high-quality datasets for training Large Language Models (LLMs), leveraging Python capabilities. [llama-hub](https://llamahub.ai/) reports 3.5k GitHub stars, 721 forks, and 96 open issues, last pushed Mar 1, 2024. [FastDatasets](https://github.com/ZhuLinsen/FastDatasets) has 222 stars, 43 forks, and 0 open issues, last pushed Aug 31, 2025. Figures are from public GitHub metadata via [llama-hub's repository](https://github.com/run-llama/llama-hub) and [FastDatasets's repository](https://github.com/ZhuLinsen/FastDatasets). | | [llama-hub](/tools/run-llama-llama-hub.md) | [FastDatasets](/tools/zhulinsen-fastdatasets.md) | | --- | --- | --- | | Tagline | A library of data loaders for LLMs made by the community | A powerful tool for creating high-quality training datasets for Large Language Models (LLMs) | | Stars | 3,469 | 222 | | Forks | 721 | 43 | | Open issues | 96 | 0 | | Language | Jupyter Notebook | Python | | Adopt for | community-driven data loaders for LlamaIndex/LangChain | FastDatasets is designed to aid in generating high-quality datasets for training Large Language Models (LLMs), leveraging Python capabilities. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Data & Retrieval, Model Training | Data & Retrieval, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llama-hub](/tools/run-llama-llama-hub.md) | [FastDatasets](/tools/zhulinsen-fastdatasets.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Slowing (36%) | | Days since push | 889d | 340d | | Archived on GitHub | Yes | No | | Open issues (now) | 96 | 0 | | Owner type | Organization | User | | Full report | [trust report](/tools/run-llama-llama-hub/trust.md) | [trust report](/tools/zhulinsen-fastdatasets/trust.md) | ## Shared compatibility - **Python**: [llama-hub](/tools/run-llama-llama-hub.md) - Python runtime; [FastDatasets](/tools/zhulinsen-fastdatasets.md) - Python runtime ## Decision facts: llama-hub - **Adopt for:** community-driven data loaders for LlamaIndex/LangChain ## Decision facts: FastDatasets - **Adopt for:** FastDatasets is designed to aid in generating high-quality datasets for training Large Language Models (LLMs), leveraging Python capabilities. ## Choose when ### Choose llama-hub if… - llama-hub is primarily Jupyter Notebook; FastDatasets is Python. - License: llama-hub is MIT, FastDatasets is Apache-2.0. - Tags unique to llama-hub: community-driven, jupyter-notebook, langchain, llamaindex. - Community-specific features require engagement with community ### Choose FastDatasets if… - FastDatasets is primarily Python; llama-hub is Jupyter Notebook. - License: FastDatasets is Apache-2.0, llama-hub is MIT. - Tags unique to FastDatasets: asyncio, dataset-generation, datasets, llm. - - When you need to generate datasets specifically tailored to improve the performance of LLMs. ## When NOT to use llama-hub - Limited support if the community lacks activity - Not suitable without familiarity with Poetry for dependency management ## When NOT to use FastDatasets - - Avoid using if the project does not involve training or fine-tuning LLMs as its primary objective. - - If customization and flexibility are critical and your team prefers managing datasets manually for full control over each dataset creation process. ## Common questions ### What is the difference between llama-hub and FastDatasets? llama-hub: A library of data loaders for LLMs made by the community. FastDatasets: A powerful tool for creating high-quality training datasets for Large Language Models (LLMs). See the comparison table for live GitHub stats and shared categories. ### When should I choose llama-hub over FastDatasets? Choose llama-hub over FastDatasets when llama-hub is primarily Jupyter Notebook; FastDatasets is Python; License: llama-hub is MIT, FastDatasets 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 choose FastDatasets over llama-hub? Choose FastDatasets over llama-hub when FastDatasets is primarily Python; llama-hub is Jupyter Notebook; License: FastDatasets is Apache-2.0, llama-hub is MIT; Tags unique to FastDatasets: asyncio, dataset-generation, datasets, llm; - When you need to generate datasets specifically tailored to improve the performance of LLMs. ### When should I avoid llama-hub? Limited support if the community lacks activity Not suitable without familiarity with Poetry for dependency management ### When should I avoid FastDatasets? - Avoid using if the project does not involve training or fine-tuning LLMs as its primary objective. - If customization and flexibility are critical and your team prefers managing datasets manually for full control over each dataset creation process. ### Is llama-hub or FastDatasets more popular on GitHub? llama-hub has more GitHub stars (3,469 vs 222). Stars measure visibility, not whether either tool fits your constraints. ### Are llama-hub and FastDatasets open source? Yes - both are open-source projects on GitHub (llama-hub: MIT, FastDatasets: Apache-2.0). ### Where can I find alternatives to llama-hub or FastDatasets? GraphCanon lists graph-backed alternatives at [llama-hub alternatives](/tools/run-llama-llama-hub/alternatives) and [FastDatasets alternatives](/tools/zhulinsen-fastdatasets/alternatives) ([llama-hub markdown twin](/tools/run-llama-llama-hub/alternatives.md), [FastDatasets markdown twin](/tools/zhulinsen-fastdatasets/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/run-llama-llama-hub-vs-zhulinsen-fastdatasets.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, llama-hub or FastDatasets? llama-hub: Archived. FastDatasets: Slowing. 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 llama-hub and FastDatasets? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llama-hub trust report](/tools/run-llama-llama-hub/trust); [FastDatasets trust report](/tools/zhulinsen-fastdatasets/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=run-llama-llama-hub`](/api/graphcanon/graph?tool=run-llama-llama-hub) - 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/_