--- title: "Scrapling vs LEANN" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/d4vinci-scrapling-vs-startrail-org-leann" tools: ["d4vinci-scrapling", "startrail-org-leann"] --- # Scrapling vs LEANN *GraphCanon updated Aug 18, 2026* ## Verdict 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; pick LEANN if lEANN is a retrieval-augmented generation (RAG) application that provides substantial storage savings and ensures privacy. It supports various models such as ColQwen2 and ColPali, making it easy to integrate into. [Scrapling](https://scrapling.readthedocs.io/en/latest/) reports 71k GitHub stars, 7.1k forks, and 5 open issues, last pushed Jul 25, 2026. [LEANN](https://arxiv.org/abs/2506.08276) has 13k stars, 1.1k forks, and 45 open issues, last pushed Jul 31, 2026. Figures are from public GitHub metadata via [Scrapling's repository](https://github.com/D4Vinci/Scrapling) and [LEANN's repository](https://github.com/StarTrail-org/LEANN). | | [Scrapling](/tools/d4vinci-scrapling.md) | [LEANN](/tools/startrail-org-leann.md) | | --- | --- | --- | | Tagline | An adaptive Web Scraping framework | RAG on Everything with LEANN | | Stars | 71,247 | 12,785 | | Forks | 7,067 | 1,145 | | Open issues | 5 | 45 | | Language | Python | Python | | 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. | LEANN is a retrieval-augmented generation (RAG) application that provides substantial storage savings and ensures privacy. It supports various models such as ColQwen2 and ColPali, making it easy to integrate into Python, | | Persona | - | - | | Runtime | - | - | | License | BSD-3-Clause | MIT | | Categories | Data & Retrieval, Developer Tools | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Scrapling](/tools/d4vinci-scrapling.md) | [LEANN](/tools/startrail-org-leann.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 17d | | Open issues (now) | 5 | 45 | | Stars delta | Unknown | +81 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/d4vinci-scrapling/trust.md) | [trust report](/tools/startrail-org-leann/trust.md) | ## Shared compatibility - **Python**: [Scrapling](/tools/d4vinci-scrapling.md) - Python runtime; [LEANN](/tools/startrail-org-leann.md) - Python runtime ## 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. ## Decision facts: LEANN - **Adopt for:** LEANN is a retrieval-augmented generation (RAG) application that provides substantial storage savings and ensures privacy. It supports various models such as ColQwen2 and ColPali, making it easy to integrate into Python, ## Choose when ### Choose Scrapling if… - License: Scrapling is BSD-3-Clause, LEANN is MIT. - Tags unique to Scrapling: ai-scraping, automation, crawler, data-extraction. - 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 ### Choose LEANN if… - License: LEANN is MIT, Scrapling is BSD-3-Clause. - Tags unique to LEANN: ai, faiss, gpt-oss, langchain. - When you need significant storage savings, LEANN offers up to 97% reduction compared to other solutions. ## 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 ## When NOT to use LEANN - Avoid using LEANN if you have strict hardware limitations since it requires the installation of both Python and C++ dependencies. - LEANN may not be suitable for users who prefer tools that do not demand manual setup of vector databases or models like Ollama and ColQwen2. ## Common questions ### What is the difference between Scrapling and LEANN? Scrapling: An adaptive Web Scraping framework. LEANN: RAG on Everything with LEANN. See the comparison table for live GitHub stats and shared categories. ### When should I choose Scrapling over LEANN? Choose Scrapling over LEANN when License: Scrapling is BSD-3-Clause, LEANN is MIT; Tags unique to Scrapling: ai-scraping, automation, crawler, data-extraction; 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 choose LEANN over Scrapling? Choose LEANN over Scrapling when License: LEANN is MIT, Scrapling is BSD-3-Clause; Tags unique to LEANN: ai, faiss, gpt-oss, langchain; When you need significant storage savings, LEANN offers up to 97% reduction compared to other solutions. ### 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 ### When should I avoid LEANN? Avoid using LEANN if you have strict hardware limitations since it requires the installation of both Python and C++ dependencies. LEANN may not be suitable for users who prefer tools that do not demand manual setup of vector databases or models like Ollama and ColQwen2. ### Is Scrapling or LEANN more popular on GitHub? Scrapling has more GitHub stars (71,247 vs 12,785). Stars measure visibility, not whether either tool fits your constraints. ### Are Scrapling and LEANN open source? Yes - both are open-source projects on GitHub (Scrapling: BSD-3-Clause, LEANN: MIT). ### Where can I find alternatives to Scrapling or LEANN? GraphCanon lists graph-backed alternatives at [Scrapling alternatives](/tools/d4vinci-scrapling/alternatives) and [LEANN alternatives](/tools/startrail-org-leann/alternatives) ([Scrapling markdown twin](/tools/d4vinci-scrapling/alternatives.md), [LEANN markdown twin](/tools/startrail-org-leann/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-startrail-org-leann.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Scrapling or LEANN? Scrapling: Very active. LEANN: 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 LEANN? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Scrapling trust report](/tools/d4vinci-scrapling/trust); [LEANN trust report](/tools/startrail-org-leann/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/_