--- title: "agentset vs Scrapling" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-d4vinci-scrapling" tools: ["agentset-ai-agentset", "d4vinci-scrapling"] --- # agentset vs Scrapling *GraphCanon updated Aug 25, 2026* ## Verdict Pick agentset if agentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management; pick Scrapling if scrapling is an adaptive Web Scraping framework built in Python that supports tasks from single requests to full-scale crawls with robust data extraction techniques. [agentset](https://agentset.ai) reports 2.1k GitHub stars, 185 forks, and 14 open issues, last pushed Jul 16, 2026. [Scrapling](https://scrapling.readthedocs.io/en/latest/) has 76k stars, 7.6k forks, and 0 open issues, last pushed Aug 24, 2026. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [Scrapling's repository](https://github.com/D4Vinci/Scrapling). | | [agentset](/tools/agentset-ai-agentset.md) | [Scrapling](/tools/d4vinci-scrapling.md) | | --- | --- | --- | | Tagline | The open-source RAG platform with built-in citations and support for deep research | An adaptive Web Scraping framework | | Stars | 2,066 | 76,447 | | Forks | 185 | 7,649 | | Open issues | 14 | 0 | | Language | TypeScript | Python | | Adopt for | AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management. | Scrapling is an adaptive Web Scraping framework built in Python that supports tasks from single requests to full-scale crawls with robust data extraction techniques. | | Persona | - | - | | Runtime | - | - | | License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | BSD-3-Clause | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentset](/tools/agentset-ai-agentset.md) | [Scrapling](/tools/d4vinci-scrapling.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 36d | 0d | | Open issues (now) | 14 | 0 | | Stars delta | +31 (30d) | +5.2k (30d) | | Open issues delta | +1 (30d) | -5 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/d4vinci-scrapling/trust.md) | ## Decision facts: agentset - **Pricing:** freemium - Free to use as it is open-source. - **Requirements:** Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities. - **Adopt for:** AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management. - **License detail:** AgentSet operates under the MIT License, allowing for broad usage and modification rights. ## Decision facts: Scrapling - **Adopt for:** Scrapling is an adaptive Web Scraping framework built in Python that supports tasks from single requests to full-scale crawls with robust data extraction techniques. ## Choose when ### Choose agentset if… - agentset is primarily TypeScript; Scrapling is Python. - License: agentset is MIT, Scrapling is BSD-3-Clause. - Pricing: Free to use as it is open-source.. - Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.. - Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management. - Also covers AI Agents. - - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### Choose Scrapling if… - Scrapling is primarily Python; agentset is TypeScript. - License: Scrapling is BSD-3-Clause, agentset is MIT. - Tags unique to Scrapling: ai-scraping, automation, crawler, data-extraction. - Also covers Developer Tools. - Scrapling ships Docker support for self-hosted deployment. - When you need a flexible scraping solution capable of handling scalable tasks ranging from individual queries to extensive crawling requirements ## When NOT to use agentset - - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities. ## When NOT to use Scrapling - Avoid using if your project strictly requires Java or another language besides Python, as Scrapling is exclusively developed in Python - Not recommended for projects where minimal resource footprint is critical; due to its comprehensive feature set, it may not be the most lightweight option available ## Common questions ### What is the difference between agentset and Scrapling? agentset: The open-source RAG platform with built-in citations and support for deep research. Scrapling: An adaptive Web Scraping framework. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentset over Scrapling? Choose agentset over Scrapling when agentset is primarily TypeScript; Scrapling is Python; License: agentset is MIT, Scrapling is BSD-3-Clause; Pricing: Free to use as it is open-source.; Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.; Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management; Also covers AI Agents; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### When should I choose Scrapling over agentset? Choose Scrapling over agentset when Scrapling is primarily Python; agentset is TypeScript; License: Scrapling is BSD-3-Clause, agentset is MIT; Tags unique to Scrapling: ai-scraping, automation, crawler, data-extraction; Also covers Developer Tools; Scrapling ships Docker support for self-hosted deployment; When you need a flexible scraping solution capable of handling scalable tasks ranging from individual queries to extensive crawling requirements. ### When should I avoid agentset? - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities. ### When should I avoid Scrapling? Avoid using if your project strictly requires Java or another language besides Python, as Scrapling is exclusively developed in Python Not recommended for projects where minimal resource footprint is critical; due to its comprehensive feature set, it may not be the most lightweight option available ### Is agentset or Scrapling more popular on GitHub? Scrapling has more GitHub stars (76,447 vs 2,066). Stars measure visibility, not whether either tool fits your constraints. ### Are agentset and Scrapling open source? Yes - both are open-source projects on GitHub (agentset: MIT, Scrapling: BSD-3-Clause). ### Where can I find alternatives to agentset or Scrapling? GraphCanon lists graph-backed alternatives at [agentset alternatives](/tools/agentset-ai-agentset/alternatives) and [Scrapling alternatives](/tools/d4vinci-scrapling/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/alternatives.md), [Scrapling markdown twin](/tools/d4vinci-scrapling/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/agentset-ai-agentset-vs-d4vinci-scrapling.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentset or Scrapling? agentset: Steady. Scrapling: 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 agentset and Scrapling? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentset trust report](/tools/agentset-ai-agentset/trust); [Scrapling trust report](/tools/d4vinci-scrapling/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentset-ai-agentset`](/api/graphcanon/graph?tool=agentset-ai-agentset) - 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/_