--- title: "easy-dataset vs FastDatasets" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/conardli-easy-dataset-vs-zhulinsen-fastdatasets" tools: ["conardli-easy-dataset", "zhulinsen-fastdatasets"] --- # easy-dataset vs FastDatasets *GraphCanon updated Aug 18, 2026* ## Verdict Pick easy-dataset if easy-dataset is a JavaScript-based tool designed to simplify the creation and management of datasets for LLM fine-tuning, RAG systems, and evaluations; pick FastDatasets if fastDatasets is designed to aid in generating high-quality datasets for training Large Language Models (LLMs), leveraging Python capabilities. [easy-dataset](https://docs.easy-dataset.com) reports 15k GitHub stars, 1.5k forks, and 125 open issues, last pushed May 1, 2026. [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 [easy-dataset's repository](https://github.com/ConardLi/easy-dataset) and [FastDatasets's repository](https://github.com/ZhuLinsen/FastDatasets). | | [easy-dataset](/tools/conardli-easy-dataset.md) | [FastDatasets](/tools/zhulinsen-fastdatasets.md) | | --- | --- | --- | | Tagline | A powerful tool for creating datasets for LLM fine-tuning, RAG, and evaluation | A powerful tool for creating high-quality training datasets for Large Language Models (LLMs) | | Stars | 14,792 | 222 | | Forks | 1,523 | 43 | | Open issues | 125 | 0 | | Language | JavaScript | Python | | Adopt for | Easy-dataset is a JavaScript-based tool designed to simplify the creation and management of datasets for LLM fine-tuning, RAG systems, and evaluations. | FastDatasets is designed to aid in generating high-quality datasets for training Large Language Models (LLMs), leveraging Python capabilities. | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Data & Retrieval, Model Training | Data & Retrieval, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [easy-dataset](/tools/conardli-easy-dataset.md) | [FastDatasets](/tools/zhulinsen-fastdatasets.md) | | --- | --- | --- | | Days since push | 108d | 340d | | Open issues (now) | 125 | 0 | | Stars delta | +125 (30d) | Unknown | | Open issues delta | +1 (30d) | Unknown | | Full report | [trust report](/tools/conardli-easy-dataset/trust.md) | [trust report](/tools/zhulinsen-fastdatasets/trust.md) | ## Decision facts: easy-dataset - **Adopt for:** Easy-dataset is a JavaScript-based tool designed to simplify the creation and management of datasets for LLM fine-tuning, RAG systems, and evaluations. ## 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 easy-dataset if… - easy-dataset is primarily JavaScript; FastDatasets is Python. - License: easy-dataset is Other, FastDatasets is Apache-2.0. - Tags unique to easy-dataset: dataset, fine-tuning, javascript, rag. - easy-dataset ships Docker support for self-hosted deployment. - - You prefer using JavaScript, as Easy-Dataset leverages this language for its setup. ### Choose FastDatasets if… - FastDatasets is primarily Python; easy-dataset is JavaScript. - License: FastDatasets is Apache-2.0, easy-dataset is Other. - Tags unique to FastDatasets: asyncio, dataset-generation, datasets, python. - - When you need to generate datasets specifically tailored to improve the performance of LLMs. ## When NOT to use easy-dataset - - When you require a multi-language support beyond JavaScript, as Easy-Dataset is specifically built with JavaScript in mind. - - In cases where you do not want to use automatic initialization of databases or prefer manual setup configurations. - - If your deployment environment strictly avoids Docker images and prefers alternatives for application containerization. ## 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 easy-dataset and FastDatasets? easy-dataset: A powerful tool for creating datasets for LLM fine-tuning, RAG, and evaluation. 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 easy-dataset over FastDatasets? Choose easy-dataset over FastDatasets when easy-dataset is primarily JavaScript; FastDatasets is Python; License: easy-dataset is Other, FastDatasets is Apache-2.0; Tags unique to easy-dataset: dataset, fine-tuning, javascript, rag; easy-dataset ships Docker support for self-hosted deployment; - You prefer using JavaScript, as Easy-Dataset leverages this language for its setup. ### When should I choose FastDatasets over easy-dataset? Choose FastDatasets over easy-dataset when FastDatasets is primarily Python; easy-dataset is JavaScript; License: FastDatasets is Apache-2.0, easy-dataset is Other; Tags unique to FastDatasets: asyncio, dataset-generation, datasets, python; - When you need to generate datasets specifically tailored to improve the performance of LLMs. ### When should I avoid easy-dataset? - When you require a multi-language support beyond JavaScript, as Easy-Dataset is specifically built with JavaScript in mind. - In cases where you do not want to use automatic initialization of databases or prefer manual setup configurations. - If your deployment environment strictly avoids Docker images and prefers alternatives for application containerization. ### 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 easy-dataset or FastDatasets more popular on GitHub? easy-dataset has more GitHub stars (14,792 vs 222). Stars measure visibility, not whether either tool fits your constraints. ### Are easy-dataset and FastDatasets open source? Yes - both are open-source projects on GitHub (easy-dataset: Other, FastDatasets: Apache-2.0). ### Where can I find alternatives to easy-dataset or FastDatasets? GraphCanon lists graph-backed alternatives at [easy-dataset alternatives](/tools/conardli-easy-dataset/alternatives) and [FastDatasets alternatives](/tools/zhulinsen-fastdatasets/alternatives) ([easy-dataset markdown twin](/tools/conardli-easy-dataset/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/conardli-easy-dataset-vs-zhulinsen-fastdatasets.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, easy-dataset or FastDatasets? easy-dataset: Slowing. 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 easy-dataset and FastDatasets? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [easy-dataset trust report](/tools/conardli-easy-dataset/trust); [FastDatasets trust report](/tools/zhulinsen-fastdatasets/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=conardli-easy-dataset`](/api/graphcanon/graph?tool=conardli-easy-dataset) - 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/_