Comparison
easy-dataset vs Curator
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 Curator if scalable toolkit for data pre-processing tailored to LLMs, featuring deduplication and quality checks.
Markdown twin · easy-dataset alternatives · Curator alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | easy-dataset | Curator |
|---|---|---|
| Maintenance | Slowing (108d since push) As of 3d · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3d · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- Curator
- Scalable data pre-processing and curation toolkit for LLMs
Stars
- easy-dataset
- 15k
- Curator
- 1.7k
Forks
- easy-dataset
- 1.5k
- Curator
- 306
Open issues
- easy-dataset
- 125
- Curator
- 272
Language
- easy-dataset
- JavaScript
- Curator
- 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.
- Curator
- Scalable toolkit for data pre-processing tailored to LLMs, featuring deduplication and quality checks.
Persona
- easy-dataset
- -
- Curator
- -
Runtime
- easy-dataset
- -
- Curator
- -
License
- easy-dataset
- Other
- Curator
- Apache-2.0
Last pushed
- easy-dataset
- May 1, 2026
- Curator
- Jul 23, 2026
Categories
- easy-dataset
- Data & Retrieval, Model Training
- Curator
- Data & Retrieval, Model Training
Trust and health
Maintenance
- easy-dataset
- Slowing (36%)
- Curator
- Very active (96%)
Days since push
- easy-dataset
- 108d
- Curator
- 0d
Open issues (now)
- easy-dataset
- 125
- Curator
- 272
Stars delta
- easy-dataset
- +125 (30d)
- Curator
- Unknown
Open issues delta
- easy-dataset
- +1 (30d)
- Curator
- Unknown
Owner type
- easy-dataset
- User
- Curator
- Organization
Full report
- easy-dataset
- Trust report
- Curator
- Trust report
Choose easy-dataset if…
- easy-dataset is primarily JavaScript; Curator is Python.
- License: easy-dataset is Other, Curator is Apache-2.0.
- Tags unique to easy-dataset: dataset, fine-tuning, javascript, llm.
- 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 Curator if…
- Curator is primarily Python; easy-dataset is JavaScript.
- License: Curator is Apache-2.0, easy-dataset is Other.
- Tags unique to Curator: curation toolkit, data pre-processing, deduplication, llms.
- You're working with NVIDIA NeMo models and require seamless integration.
When NOT to use Curator
- Your dataset doesn't align with NVIDIA hardware specifications.
- You prefer data curation tools that do not emphasize semantic processing.
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 (NVIDIA-NeMo/Curator) · observed Jul 24, 2026
- GitHub forks (NVIDIA-NeMo/Curator) · observed Jul 24, 2026
- Last push (NVIDIA-NeMo/Curator) · observed Jul 23, 2026
- License file (Apache-2.0) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: easy-dataset 15k · Curator 1.7k (synced Aug 18, 2026).
Common questions
- What is the difference between easy-dataset and Curator?
- easy-dataset: A powerful tool for creating datasets for LLM fine-tuning, RAG, and evaluation. Curator: Scalable data pre-processing and curation toolkit for LLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose easy-dataset over Curator?
- Choose easy-dataset over Curator when easy-dataset is primarily JavaScript; Curator is Python; License: easy-dataset is Other, Curator is Apache-2.0; Tags unique to easy-dataset: dataset, fine-tuning, javascript, llm; 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 Curator over easy-dataset?
- Choose Curator over easy-dataset when Curator is primarily Python; easy-dataset is JavaScript; License: Curator is Apache-2.0, easy-dataset is Other; Tags unique to Curator: curation toolkit, data pre-processing, deduplication, llms; You're working with NVIDIA NeMo models and require seamless integration.
- 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 Curator?
- Your dataset doesn't align with NVIDIA hardware specifications. You prefer data curation tools that do not emphasize semantic processing.
- Is easy-dataset or Curator more popular on GitHub?
- easy-dataset has more GitHub stars (14,792 vs 1,681). Stars measure visibility, not whether either tool fits your constraints.
- Are easy-dataset and Curator open source?
- Yes - both are open-source projects on GitHub (easy-dataset: Other, Curator: Apache-2.0).
- Where can I find alternatives to easy-dataset or Curator?
- GraphCanon lists graph-backed alternatives at easy-dataset alternatives and Curator alternatives (easy-dataset markdown twin, Curator 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 Curator?
- easy-dataset: Slowing. Curator: Very active. 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 Curator?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: easy-dataset trust report; Curator trust report.