--- title: "agno vs Scrapling" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agno-agi-agno-vs-d4vinci-scrapling" tools: ["agno-agi-agno", "d4vinci-scrapling"] --- # agno vs Scrapling *GraphCanon updated Jul 11, 2026* ## Verdict Pick agno when license: agno is Apache-2.0, Scrapling is BSD-3-Clause; pick Scrapling when license: Scrapling is BSD-3-Clause, agno is Apache-2.0. [agno](https://docs.agno.com) reports 41k GitHub stars, 5.6k forks, and 1.0k open issues, last pushed Jul 11, 2026. [Scrapling](https://scrapling.readthedocs.io/en/latest/) has 69k stars, 6.8k forks, and 3 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [agno's repository](https://github.com/agno-agi/agno) and [Scrapling's repository](https://github.com/D4Vinci/Scrapling). | | [agno](/tools/agno-agi-agno.md) | [Scrapling](/tools/d4vinci-scrapling.md) | | --- | --- | --- | | Tagline | Build, run, and manage your own agent platform. | 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! | | Stars | 41,090 | 69,097 | | Forks | 5,627 | 6,836 | | Open issues | 1,009 | 3 | | Language | Python | Python | | Adopt for | Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | BSD-3-Clause | | Categories | AI Agents, Developer Tools | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agno](/tools/agno-agi-agno.md) | [Scrapling](/tools/d4vinci-scrapling.md) | | --- | --- | --- | | Days since push | 0d | 2d | | Open issues (now) | 1.0k | 3 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/agno-agi-agno/trust.md) | [trust report](/tools/d4vinci-scrapling/trust.md) | ## Decision facts: agno - **Adopt for:** Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ## Choose when ### Choose agno if… - License: agno is Apache-2.0, Scrapling is BSD-3-Clause. - Tags unique to agno: agents, ai-agents, developer-tools, python. - Also covers AI Agents. - Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### Choose Scrapling if… - License: Scrapling is BSD-3-Clause, agno is Apache-2.0. - Tags unique to Scrapling: ai, ai-scraping, automation, crawler. - Also covers Data & Retrieval. ## When NOT to use agno - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## 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. ## Common questions ### What is the difference between agno and Scrapling? agno: Build, run, and manage your own agent platform.. Scrapling: 🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!. See the comparison table for live GitHub stats and shared categories. ### When should I choose agno over Scrapling? Choose agno over Scrapling when License: agno is Apache-2.0, Scrapling is BSD-3-Clause; Tags unique to agno: agents, ai-agents, developer-tools, python; Also covers AI Agents; Use agno for a high level of control over your AI agent platform, including 50+ production API endpoints and support for 100+ integrations. Ideal if you need to customize data ownership and permissions. ### When should I choose Scrapling over agno? Choose Scrapling over agno when License: Scrapling is BSD-3-Clause, agno is Apache-2.0; Tags unique to Scrapling: ai, ai-scraping, automation, crawler; Also covers Data & Retrieval. ### When should I avoid agno? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### 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. ### Is agno or Scrapling more popular on GitHub? Scrapling has more GitHub stars (69,097 vs 41,090). Stars measure visibility, not whether either tool fits your constraints. ### Are agno and Scrapling open source? Yes - both are open-source projects on GitHub (agno: Apache-2.0, Scrapling: BSD-3-Clause). ### Where can I find alternatives to agno or Scrapling? GraphCanon lists graph-backed alternatives at [agno alternatives](/tools/agno-agi-agno/alternatives) and [Scrapling alternatives](/tools/d4vinci-scrapling/alternatives) ([agno markdown twin](/tools/agno-agi-agno/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/agno-agi-agno-vs-d4vinci-scrapling.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agno or Scrapling? agno: Very active. 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 agno and Scrapling? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agno trust report](/tools/agno-agi-agno/trust); [Scrapling trust report](/tools/d4vinci-scrapling/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agno-agi-agno`](/api/graphcanon/graph?tool=agno-agi-agno) - 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/_