--- title: "awesome-ai-tools vs Scrapegraph-ai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mahseema-awesome-ai-tools-vs-scrapegraphai-scrapegraph-ai" tools: ["mahseema-awesome-ai-tools", "scrapegraphai-scrapegraph-ai"] --- # awesome-ai-tools vs Scrapegraph-ai *GraphCanon updated Sep 20, 2026* ## Verdict Pick awesome-ai-tools if awesome AI Tools provides a curated list of top-notch AI resources across various domains from text generation to marketing; pick Scrapegraph-ai if scrapegraph-ai is a Python-based AI-driven web scraping tool designed for data extraction and web search, offering an alternative to traditional scraping methods with its AI capabilities. [awesome-ai-tools](https://github.com/mahseema/awesome-ai-tools) reports 6.2k GitHub stars, 2.2k forks, and 1.3k open issues, last pushed Dec 31, 2025. [Scrapegraph-ai](https://scrapegraphai.com) has 31k stars, 3.1k forks, and 17 open issues, last pushed Sep 7, 2026. Figures are from public GitHub metadata via [awesome-ai-tools's repository](https://github.com/mahseema/awesome-ai-tools) and [Scrapegraph-ai's repository](https://github.com/ScrapeGraphAI/Scrapegraph-ai). | | [awesome-ai-tools](/tools/mahseema-awesome-ai-tools.md) | [Scrapegraph-ai](/tools/scrapegraphai-scrapegraph-ai.md) | | --- | --- | --- | | Tagline | A curated list of Artificial Intelligence Top Tools | Python scraper based on AI | | Stars | 6,200 | 31,068 | | Forks | 2,171 | 3,128 | | Open issues | 1,334 | 17 | | Language | - | Python | | Adopt for | Awesome AI Tools provides a curated list of top-notch AI resources across various domains from text generation to marketing. | Scrapegraph-ai is a Python-based AI-driven web scraping tool designed for data extraction and web search, offering an alternative to traditional scraping methods with its AI capabilities. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License | | Categories | AI Agents, Computer Vision, Data & Retrieval, Developer Tools, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-ai-tools](/tools/mahseema-awesome-ai-tools.md) | [Scrapegraph-ai](/tools/scrapegraphai-scrapegraph-ai.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 257d | 10d | | Open issues (now) | 1.3k | 17 | | Stars delta | +288 (30d) | +1.4k (30d) | | Open issues delta | +137 (30d) | +5 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/mahseema-awesome-ai-tools/trust.md) | [trust report](/tools/scrapegraphai-scrapegraph-ai/trust.md) | ## Decision facts: awesome-ai-tools - **Adopt for:** Awesome AI Tools provides a curated list of top-notch AI resources across various domains from text generation to marketing. ## Decision facts: Scrapegraph-ai - **Pricing:** freemium - Free to use under the MIT License, with no explicit mention of paid features in the repository. - **Requirements:** Min 2 GB RAM; Requires Python environment to run. - **Adopt for:** Scrapegraph-ai is a Python-based AI-driven web scraping tool designed for data extraction and web search, offering an alternative to traditional scraping methods with its AI capabilities. - **License detail:** MIT License ## Choose when ### Choose awesome-ai-tools if… - Tags unique to awesome-ai-tools: ai-tools-list, awesome-ai-tools, code-ai, editor-choice. - Also covers AI Agents, Computer Vision, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio. - When in need of a wide range of categorized AI tools for varied tasks like text generation, audio and video creation, or email management ### Choose Scrapegraph-ai if… - Pricing: Free to use under the MIT License, with no explicit mention of paid features in the repository.. - Requirements: Min 2 GB RAM; Requires Python environment to run.. - Tags unique to Scrapegraph-ai: ai-crawler, ai-scraping, ai-search, crawler. - Scrapegraph-ai ships Docker support for self-hosted deployment. - When you need advanced AI-driven scraping capabilities that can adapt to complex web structures and extract data more intelligently than traditional scrapers. ## When NOT to use awesome-ai-tools - If you seek in-depth technical documentation on each tool since the repository mainly lists tools without comprehensive descriptions - When you are exclusively interested in AI tools focusing only on one niche domain as there is a broad spectrum of choices presented here ## When NOT to use Scrapegraph-ai - If your project requires a more lightweight solution, as Scrapegraph-ai's AI features might introduce additional overhead. - When your scraping needs are simple and do not require the sophisticated AI capabilities that Scrapegraph-ai offers, opting for a simpler tool might be more efficient. ## Common questions ### What is the difference between awesome-ai-tools and Scrapegraph-ai? awesome-ai-tools: A curated list of Artificial Intelligence Top Tools. Scrapegraph-ai: Python scraper based on AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-ai-tools over Scrapegraph-ai? Choose awesome-ai-tools over Scrapegraph-ai when Tags unique to awesome-ai-tools: ai-tools-list, awesome-ai-tools, code-ai, editor-choice; Also covers AI Agents, Computer Vision, Evaluation & Observability, Inference & Serving, Model Training, Speech & Audio; When in need of a wide range of categorized AI tools for varied tasks like text generation, audio and video creation, or email management. ### When should I choose Scrapegraph-ai over awesome-ai-tools? Choose Scrapegraph-ai over awesome-ai-tools when Pricing: Free to use under the MIT License, with no explicit mention of paid features in the repository.; Requirements: Min 2 GB RAM; Requires Python environment to run.; Tags unique to Scrapegraph-ai: ai-crawler, ai-scraping, ai-search, crawler; Scrapegraph-ai ships Docker support for self-hosted deployment; When you need advanced AI-driven scraping capabilities that can adapt to complex web structures and extract data more intelligently than traditional scrapers. ### When should I avoid awesome-ai-tools? If you seek in-depth technical documentation on each tool since the repository mainly lists tools without comprehensive descriptions When you are exclusively interested in AI tools focusing only on one niche domain as there is a broad spectrum of choices presented here ### When should I avoid Scrapegraph-ai? If your project requires a more lightweight solution, as Scrapegraph-ai's AI features might introduce additional overhead. When your scraping needs are simple and do not require the sophisticated AI capabilities that Scrapegraph-ai offers, opting for a simpler tool might be more efficient. ### Is awesome-ai-tools or Scrapegraph-ai more popular on GitHub? Scrapegraph-ai has more GitHub stars (31,068 vs 6,200). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-ai-tools and Scrapegraph-ai open source? Yes - both are open-source projects on GitHub (awesome-ai-tools: MIT, Scrapegraph-ai: MIT). ### Where can I find alternatives to awesome-ai-tools or Scrapegraph-ai? GraphCanon lists graph-backed alternatives at [awesome-ai-tools alternatives](/tools/mahseema-awesome-ai-tools/alternatives) and [Scrapegraph-ai alternatives](/tools/scrapegraphai-scrapegraph-ai/alternatives) ([awesome-ai-tools markdown twin](/tools/mahseema-awesome-ai-tools/alternatives.md), [Scrapegraph-ai markdown twin](/tools/scrapegraphai-scrapegraph-ai/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/mahseema-awesome-ai-tools-vs-scrapegraphai-scrapegraph-ai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-ai-tools or Scrapegraph-ai? awesome-ai-tools: Slowing. Scrapegraph-ai: 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 awesome-ai-tools and Scrapegraph-ai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-ai-tools trust report](/tools/mahseema-awesome-ai-tools/trust); [Scrapegraph-ai trust report](/tools/scrapegraphai-scrapegraph-ai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mahseema-awesome-ai-tools`](/api/graphcanon/graph?tool=mahseema-awesome-ai-tools) - 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/_