--- title: "Scrapling vs Curator" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/d4vinci-scrapling-vs-nvidia-nemo-curator" tools: ["d4vinci-scrapling", "nvidia-nemo-curator"] --- # Scrapling vs Curator *GraphCanon updated Jul 11, 2026* ## Verdict Pick Scrapling when license: Scrapling is BSD-3-Clause, Curator is Apache-2.0; pick Curator when license: Curator is Apache-2.0, Scrapling is BSD-3-Clause. [Scrapling](https://scrapling.readthedocs.io/en/latest/) reports 69k GitHub stars, 6.8k forks, and 3 open issues, last pushed Jul 8, 2026. [Curator](https://github.com/NVIDIA-NeMo/Curator) has 1.7k stars, 298 forks, and 279 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [Scrapling's repository](https://github.com/D4Vinci/Scrapling) and [Curator's repository](https://github.com/NVIDIA-NeMo/Curator). | | [Scrapling](/tools/d4vinci-scrapling.md) | [Curator](/tools/nvidia-nemo-curator.md) | | --- | --- | --- | | Tagline | 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! | Scalable data pre processing and curation toolkit for LLMs | | Stars | 69,097 | 1,656 | | Forks | 6,836 | 298 | | Open issues | 3 | 279 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | Apache-2.0 | | Categories | Data & Retrieval, Developer Tools | Data & Retrieval, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Scrapling](/tools/d4vinci-scrapling.md) | [Curator](/tools/nvidia-nemo-curator.md) | | --- | --- | --- | | Days since push | 2d | 0d | | Open issues (now) | 3 | 279 | | Owner type | User | Organization | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/d4vinci-scrapling/trust.md) | [trust report](/tools/nvidia-nemo-curator/trust.md) | ## Choose when ### Choose Scrapling if… - License: Scrapling is BSD-3-Clause, Curator is Apache-2.0. - Tags unique to Scrapling: ai, ai-scraping, automation, crawler. - More GitHub stars (69k vs 1.7k) - visibility, not fit. ### Choose Curator if… - License: Curator is Apache-2.0, Scrapling is BSD-3-Clause. - Tags unique to Curator: data-curation, data-prep, data-preparation, data-processing. - Also covers LLM Frameworks. ## When NOT to use Scrapling - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## When NOT to use Curator - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between Scrapling and Curator? Scrapling: 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!. 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 Scrapling over Curator? Choose Scrapling over Curator when License: Scrapling is BSD-3-Clause, Curator is Apache-2.0; Tags unique to Scrapling: ai, ai-scraping, automation, crawler; More GitHub stars (69k vs 1.7k) - visibility, not fit. ### When should I choose Curator over Scrapling? Choose Curator over Scrapling when License: Curator is Apache-2.0, Scrapling is BSD-3-Clause; Tags unique to Curator: data-curation, data-prep, data-preparation, data-processing; Also covers LLM Frameworks. ### When should I avoid Scrapling? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### When should I avoid Curator? Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is Scrapling or Curator more popular on GitHub? Scrapling has more GitHub stars (69,097 vs 1,656). Stars measure visibility, not whether either tool fits your constraints. ### Are Scrapling and Curator open source? Yes - both are open-source projects on GitHub (Scrapling: BSD-3-Clause, Curator: Apache-2.0). ### Where can I find alternatives to Scrapling or Curator? GraphCanon lists graph-backed alternatives at [Scrapling alternatives](/tools/d4vinci-scrapling/alternatives) and [Curator alternatives](/tools/nvidia-nemo-curator/alternatives) ([Scrapling markdown twin](/tools/d4vinci-scrapling/alternatives.md), [Curator markdown twin](/tools/nvidia-nemo-curator/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/d4vinci-scrapling-vs-nvidia-nemo-curator.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Scrapling or Curator? Scrapling: Very active. 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 Scrapling and Curator? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Scrapling trust report](/tools/d4vinci-scrapling/trust); [Curator trust report](/tools/nvidia-nemo-curator/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=d4vinci-scrapling`](/api/graphcanon/graph?tool=d4vinci-scrapling) - 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/_