--- title: "firecrawl vs kedro" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/firecrawl-firecrawl-vs-kedro-org-kedro" tools: ["firecrawl-firecrawl", "kedro-org-kedro"] --- # firecrawl vs kedro *GraphCanon updated Jul 11, 2026* ## Verdict Pick firecrawl when firecrawl is primarily TypeScript; kedro is Python; pick kedro when kedro is primarily Python; firecrawl is TypeScript. [firecrawl](https://firecrawl.dev) reports 149k GitHub stars, 8.5k forks, and 395 open issues, last pushed Jul 11, 2026. [kedro](https://kedro.org) has 11k stars, 1.1k forks, and 161 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [firecrawl's repository](https://github.com/firecrawl/firecrawl) and [kedro's repository](https://github.com/kedro-org/kedro). | | [firecrawl](/tools/firecrawl-firecrawl.md) | [kedro](/tools/kedro-org-kedro.md) | | --- | --- | --- | | Tagline | The API to search, scrape, and interact with the web at scale. 🔥 | Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, an | | Stars | 149,109 | 10,911 | | Forks | 8,524 | 1,050 | | Open issues | 395 | 161 | | Language | TypeScript | Python | | Adopt for | FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents. | - | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 license requires that any changes to FireCrawl's source code also be made available as free software when the adapted version is used. | Apache-2.0 | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [firecrawl](/tools/firecrawl-firecrawl.md) | [kedro](/tools/kedro-org-kedro.md) | | --- | --- | --- | | Days since push | 0d | 2d | | Open issues (now) | 395 | 161 | | Full report | [trust report](/tools/firecrawl-firecrawl/trust.md) | [trust report](/tools/kedro-org-kedro/trust.md) | ## Decision facts: firecrawl - **Hosting:** self hosted - FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data. - **Requirements:** Min 4 GB RAM; Requires Docker - **Adopt for:** FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents. - **License detail:** AGPL-3.0 license requires that any changes to FireCrawl's source code also be made available as free software when the adapted version is used. ## Choose when ### Choose firecrawl if… - firecrawl is primarily TypeScript; kedro is Python. - License: firecrawl is AGPL-3.0, kedro is Apache-2.0. - FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data. - Requirements: Min 4 GB RAM; Requires Docker. - Tags unique to firecrawl: ai-agents, crawler, scraping, search. - When you need to automate complex web interactions that require understanding context or content from multiple sources, leveraging its AI agent capabilities. ### Choose kedro if… - kedro is primarily Python; firecrawl is TypeScript. - License: kedro is Apache-2.0, firecrawl is AGPL-3.0. - Tags unique to kedro: agentic-ai, agentic-workflow, data pipelines, hacktoberfest. ## When NOT to use firecrawl - For lightweight scraping tasks where minimal data extraction is sufficient and speed is of utmost importance without the need for advanced AI analysis. - If you require open-source components under a license other than AGPL-3.0, as this license may impose certain restrictions on derivative works. ## When NOT to use kedro - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## Common questions ### What is the difference between firecrawl and kedro? firecrawl: The API to search, scrape, and interact with the web at scale. 🔥. kedro: Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, an. See the comparison table for live GitHub stats and shared categories. ### When should I choose firecrawl over kedro? Choose firecrawl over kedro when firecrawl is primarily TypeScript; kedro is Python; License: firecrawl is AGPL-3.0, kedro is Apache-2.0; FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to firecrawl: ai-agents, crawler, scraping, search; When you need to automate complex web interactions that require understanding context or content from multiple sources, leveraging its AI agent capabilities. ### When should I choose kedro over firecrawl? Choose kedro over firecrawl when kedro is primarily Python; firecrawl is TypeScript; License: kedro is Apache-2.0, firecrawl is AGPL-3.0; Tags unique to kedro: agentic-ai, agentic-workflow, data pipelines, hacktoberfest. ### When should I avoid firecrawl? For lightweight scraping tasks where minimal data extraction is sufficient and speed is of utmost importance without the need for advanced AI analysis. If you require open-source components under a license other than AGPL-3.0, as this license may impose certain restrictions on derivative works. ### When should I avoid kedro? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### Is firecrawl or kedro more popular on GitHub? firecrawl has more GitHub stars (149,109 vs 10,911). Stars measure visibility, not whether either tool fits your constraints. ### Are firecrawl and kedro open source? Yes - both are open-source projects on GitHub (firecrawl: AGPL-3.0, kedro: Apache-2.0). ### Where can I find alternatives to firecrawl or kedro? GraphCanon lists graph-backed alternatives at [firecrawl alternatives](/tools/firecrawl-firecrawl/alternatives) and [kedro alternatives](/tools/kedro-org-kedro/alternatives) ([firecrawl markdown twin](/tools/firecrawl-firecrawl/alternatives.md), [kedro markdown twin](/tools/kedro-org-kedro/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/firecrawl-firecrawl-vs-kedro-org-kedro.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, firecrawl or kedro? firecrawl: Very active. kedro: 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 firecrawl and kedro? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [firecrawl trust report](/tools/firecrawl-firecrawl/trust); [kedro trust report](/tools/kedro-org-kedro/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=firecrawl-firecrawl`](/api/graphcanon/graph?tool=firecrawl-firecrawl) - 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/_