Comparison
firecrawl vs FastGPT
Verdict
Pick firecrawl if fireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents; pick FastGPT if fastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable.
Markdown twin · firecrawl alternatives · FastGPT alternatives
GraphCanon updated 2d
Trust & integrity
| Signal | firecrawl | FastGPT |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3d · github_public_v1 | Very active (0d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Organization account As of 2d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- firecrawl
- The API to search, scrape, and interact with the web at scale. 🔥
- FastGPT
- A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems
Stars
- firecrawl
- 168k
- FastGPT
- 29k
Forks
- firecrawl
- 9.4k
- FastGPT
- 7.3k
Open issues
- firecrawl
- 508
- FastGPT
- 165
Language
- firecrawl
- TypeScript
- FastGPT
- TypeScript
Adopt for
- firecrawl
- FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents.
- FastGPT
- FastGPT is a knowledge-based platform optimized for developing and deploying complex question-answering systems with built-in capabilities to process data, retrieve relevant information through RAG techniques, and enable
Persona
- firecrawl
- -
- FastGPT
- -
Runtime
- firecrawl
- -
- FastGPT
- -
License
- firecrawl
- 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.
- FastGPT
- Other
Last pushed
- firecrawl
- Aug 15, 2026
- FastGPT
- Aug 16, 2026
Categories
- firecrawl
- AI Agents, Data & Retrieval
- FastGPT
- AI Agents, Data & Retrieval, LLM Frameworks
Trust and health
Open issues (now)
- firecrawl
- 508
- FastGPT
- 165
Stars delta
- firecrawl
- +16k (30d)
- FastGPT
- +360 (30d)
Open issues delta
- firecrawl
- +106 (30d)
- FastGPT
- +7 (30d)
Full report
- firecrawl
- Trust report
- FastGPT
- Trust report
Choose firecrawl if…
- License: firecrawl is AGPL-3.0, FastGPT is Other.
- 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 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.
Choose FastGPT if…
- License: FastGPT is Other, firecrawl is AGPL-3.0.
- Tags unique to FastGPT: agent, claude, deepseek, llm.
- Also covers LLM Frameworks.
- You prioritize ease of setup and configuration for advanced AI applications.
When NOT to use FastGPT
- If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support.
- When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality.
- Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (firecrawl/firecrawl) · observed Aug 16, 2026
- GitHub forks (firecrawl/firecrawl) · observed Aug 16, 2026
- Last push (firecrawl/firecrawl) · observed Aug 15, 2026
- License file (AGPL-3.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (labring/FastGPT) · observed Aug 16, 2026
- GitHub forks (labring/FastGPT) · observed Aug 16, 2026
- Last push (labring/FastGPT) · observed Aug 16, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: firecrawl 168k · FastGPT 29k (synced Aug 16, 2026).
Common questions
- What is the difference between firecrawl and FastGPT?
- firecrawl: The API to search, scrape, and interact with the web at scale. 🔥. FastGPT: A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose firecrawl over FastGPT?
- Choose firecrawl over FastGPT when License: firecrawl is AGPL-3.0, FastGPT is Other; 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 FastGPT over firecrawl?
- Choose FastGPT over firecrawl when License: FastGPT is Other, firecrawl is AGPL-3.0; Tags unique to FastGPT: agent, claude, deepseek, llm; Also covers LLM Frameworks; You prioritize ease of setup and configuration for advanced AI applications.
- 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 FastGPT?
- If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support. When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality. Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models.
- Is firecrawl or FastGPT more popular on GitHub?
- firecrawl has more GitHub stars (167,794 vs 29,366). Stars measure visibility, not whether either tool fits your constraints.
- Are firecrawl and FastGPT open source?
- Yes - both are open-source projects on GitHub (firecrawl: AGPL-3.0, FastGPT: Other).
- Where can I find alternatives to firecrawl or FastGPT?
- GraphCanon lists graph-backed alternatives at firecrawl alternatives and FastGPT alternatives (firecrawl markdown twin, FastGPT markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, firecrawl or FastGPT?
- firecrawl: Very active. FastGPT: 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 FastGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: firecrawl trust report; FastGPT trust report.