Comparison
easy-dataset vs FastDatasets
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.
Markdown twin · easy-dataset alternatives · FastDatasets alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | easy-dataset | FastDatasets |
|---|---|---|
| Maintenance | Slowing (108d since push) As of 3d · github_public_v1 | Slowing (340d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3d · github_public_v1 | Not a fork · Personal 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
- 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)
Stars
- easy-dataset
- 15k
- FastDatasets
- 222
Forks
- easy-dataset
- 1.5k
- FastDatasets
- 43
Open issues
- easy-dataset
- 125
- FastDatasets
- 0
Language
- easy-dataset
- JavaScript
- FastDatasets
- Python
Adopt for
- easy-dataset
- 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
- FastDatasets is designed to aid in generating high-quality datasets for training Large Language Models (LLMs), leveraging Python capabilities.
Persona
- easy-dataset
- -
- FastDatasets
- -
Runtime
- easy-dataset
- -
- FastDatasets
- -
License
- easy-dataset
- Other
- FastDatasets
- Apache-2.0
Last pushed
- easy-dataset
- May 1, 2026
- FastDatasets
- Aug 31, 2025
Categories
- easy-dataset
- Data & Retrieval, Model Training
- FastDatasets
- Data & Retrieval, Model Training
Trust and health
Days since push
- easy-dataset
- 108d
- FastDatasets
- 340d
Open issues (now)
- easy-dataset
- 125
- FastDatasets
- 0
Stars delta
- easy-dataset
- +125 (30d)
- FastDatasets
- Unknown
Open issues delta
- easy-dataset
- +1 (30d)
- FastDatasets
- Unknown
OSV dependency advisories
- easy-dataset
- No lockfile (source not queried)
- FastDatasets
- Published findings
Full report
- easy-dataset
- Trust report
- FastDatasets
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ConardLi/easy-dataset) · observed Aug 18, 2026
- GitHub forks (ConardLi/easy-dataset) · observed Aug 18, 2026
- Last push (ConardLi/easy-dataset) · observed May 1, 2026
- License file (Other) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (ZhuLinsen/FastDatasets) · observed Aug 7, 2026
- GitHub forks (ZhuLinsen/FastDatasets) · observed Aug 7, 2026
- Last push (ZhuLinsen/FastDatasets) · observed Aug 31, 2025
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: easy-dataset 15k · FastDatasets 222 (synced Aug 18, 2026).
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 and FastDatasets alternatives (easy-dataset markdown twin, FastDatasets 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, 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; FastDatasets trust report.