--- title: "dagster vs firecrawl" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dagster-io-dagster-vs-firecrawl-firecrawl" tools: ["dagster-io-dagster", "firecrawl-firecrawl"] --- # dagster vs firecrawl *GraphCanon updated Jul 15, 2026* ## Verdict Pick dagster when dagster is primarily Python; firecrawl is TypeScript; pick firecrawl when firecrawl is primarily TypeScript; dagster is Python. [dagster](https://dagster.io) reports 16k GitHub stars, 2.2k forks, and 2.6k open issues, last pushed Jul 15, 2026. [firecrawl](https://firecrawl.dev) has 149k stars, 8.5k forks, and 395 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [dagster's repository](https://github.com/dagster-io/dagster) and [firecrawl's repository](https://github.com/firecrawl/firecrawl). | | [dagster](/tools/dagster-io-dagster.md) | [firecrawl](/tools/firecrawl-firecrawl.md) | | --- | --- | --- | | Tagline | An orchestration platform for the development, production, and observation of data assets. | The API to search, scrape, and interact with the web at scale. 🔥 | | Stars | 15,840 | 149,109 | | Forks | 2,195 | 8,524 | | Open issues | 2,580 | 395 | | Language | Python | TypeScript | | 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 | Apache-2.0 | 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. | | Categories | AI Agents, Data & Retrieval, Developer Tools | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dagster](/tools/dagster-io-dagster.md) | [firecrawl](/tools/firecrawl-firecrawl.md) | | --- | --- | --- | | Open issues (now) | 2.6k | 395 | | Full report | [trust report](/tools/dagster-io-dagster/trust.md) | [trust report](/tools/firecrawl-firecrawl/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 dagster if… - dagster is primarily Python; firecrawl is TypeScript. - License: dagster is Apache-2.0, firecrawl is AGPL-3.0. - Tags unique to dagster: analytics, dagster, data-engineering, data-integration. - Also covers Developer Tools. ### Choose firecrawl if… - firecrawl is primarily TypeScript; dagster is Python. - License: firecrawl is AGPL-3.0, dagster 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 NOT to use dagster - 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. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## 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. ## Common questions ### What is the difference between dagster and firecrawl? dagster: An orchestration platform for the development, production, and observation of data assets.. firecrawl: The API to search, scrape, and interact with the web at scale. 🔥. See the comparison table for live GitHub stats and shared categories. ### When should I choose dagster over firecrawl? Choose dagster over firecrawl when dagster is primarily Python; firecrawl is TypeScript; License: dagster is Apache-2.0, firecrawl is AGPL-3.0; Tags unique to dagster: analytics, dagster, data-engineering, data-integration; Also covers Developer Tools. ### When should I choose firecrawl over dagster? Choose firecrawl over dagster when firecrawl is primarily TypeScript; dagster is Python; License: firecrawl is AGPL-3.0, dagster 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 avoid dagster? 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. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### 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. ### Is dagster or firecrawl more popular on GitHub? firecrawl has more GitHub stars (149,109 vs 15,840). Stars measure visibility, not whether either tool fits your constraints. ### Are dagster and firecrawl open source? Yes - both are open-source projects on GitHub (dagster: Apache-2.0, firecrawl: AGPL-3.0). ### Where can I find alternatives to dagster or firecrawl? GraphCanon lists graph-backed alternatives at [dagster alternatives](/tools/dagster-io-dagster/alternatives) and [firecrawl alternatives](/tools/firecrawl-firecrawl/alternatives) ([dagster markdown twin](/tools/dagster-io-dagster/alternatives.md), [firecrawl markdown twin](/tools/firecrawl-firecrawl/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/dagster-io-dagster-vs-firecrawl-firecrawl.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dagster or firecrawl? dagster: Very active. firecrawl: 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 dagster and firecrawl? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dagster trust report](/tools/dagster-io-dagster/trust); [firecrawl trust report](/tools/firecrawl-firecrawl/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dagster-io-dagster`](/api/graphcanon/graph?tool=dagster-io-dagster) - 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/_