--- title: "Scrapling vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/d4vinci-scrapling-vs-shubhamsaboo-awesome-llm-apps" tools: ["d4vinci-scrapling", "shubhamsaboo-awesome-llm-apps"] --- # Scrapling vs awesome-llm-apps *GraphCanon updated Jul 11, 2026* ## Verdict Pick Scrapling when license: Scrapling is BSD-3-Clause, awesome-llm-apps is Apache-2.0; pick awesome-llm-apps when license: awesome-llm-apps 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. [awesome-llm-apps](https://www.theunwindai.com) has 118k stars, 17k forks, and 6 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [Scrapling's repository](https://github.com/D4Vinci/Scrapling) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [Scrapling](/tools/d4vinci-scrapling.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | | Stars | 69,097 | 117,774 | | Forks | 6,836 | 17,498 | | Open issues | 3 | 6 | | Language | Python | Python | | Adopt for | - | awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. | | Categories | Data & Retrieval, Developer Tools | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Scrapling](/tools/d4vinci-scrapling.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Days since push | 2d | 0d | | Open issues (now) | 3 | 6 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/d4vinci-scrapling/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Decision facts: awesome-llm-apps - **Pricing:** freemium - Free with open-source licensing, but commercial exploitation is allowed. - **Adopt for:** awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. - **License detail:** The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. ## Choose when ### Choose Scrapling if… - License: Scrapling is BSD-3-Clause, awesome-llm-apps is Apache-2.0. - Tags unique to Scrapling: ai, ai-scraping, automation, crawler. - Also covers Developer Tools. ### Choose awesome-llm-apps if… - License: awesome-llm-apps is Apache-2.0, Scrapling is BSD-3-Clause. - Pricing: Free with open-source licensing, but commercial exploitation is allowed.. - Tags unique to awesome-llm-apps: agents, applications, customizable, deployable. - Also covers AI Agents. - When you need quick implementations of various real-world use cases for AI Agents and RAG. ## 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 awesome-llm-apps - If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. - When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ## Common questions ### What is the difference between Scrapling and awesome-llm-apps? Scrapling: 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!. awesome-llm-apps: 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Scrapling over awesome-llm-apps? Choose Scrapling over awesome-llm-apps when License: Scrapling is BSD-3-Clause, awesome-llm-apps is Apache-2.0; Tags unique to Scrapling: ai, ai-scraping, automation, crawler; Also covers Developer Tools. ### When should I choose awesome-llm-apps over Scrapling? Choose awesome-llm-apps over Scrapling when License: awesome-llm-apps is Apache-2.0, Scrapling is BSD-3-Clause; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers AI Agents; When you need quick implementations of various real-world use cases for AI Agents and RAG. ### 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 awesome-llm-apps? If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ### Is Scrapling or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (117,774 vs 69,097). Stars measure visibility, not whether either tool fits your constraints. ### Are Scrapling and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (Scrapling: BSD-3-Clause, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to Scrapling or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [Scrapling alternatives](/tools/d4vinci-scrapling/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([Scrapling markdown twin](/tools/d4vinci-scrapling/alternatives.md), [awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/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-shubhamsaboo-awesome-llm-apps.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Scrapling or awesome-llm-apps? Scrapling: Very active. awesome-llm-apps: 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 awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Scrapling trust report](/tools/d4vinci-scrapling/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/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/_