Comparison
firecrawl vs awesome-llm-apps
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 awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Markdown twin · firecrawl alternatives · awesome-llm-apps alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | firecrawl | awesome-llm-apps |
|---|---|---|
| Maintenance | Very active (0d since push) As of 5d · github_public_v1 | Very active (4d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 5d · github_public_v1 | Not a fork · Personal account As of 2w · 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. 🔥
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- firecrawl
- 168k
- awesome-llm-apps
- 131k
Forks
- firecrawl
- 9.4k
- awesome-llm-apps
- 19k
Open issues
- firecrawl
- 508
- awesome-llm-apps
- 13
Language
- firecrawl
- TypeScript
- awesome-llm-apps
- Python
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.
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Persona
- firecrawl
- -
- awesome-llm-apps
- -
Runtime
- firecrawl
- -
- awesome-llm-apps
- -
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.
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
Last pushed
- firecrawl
- Aug 15, 2026
- awesome-llm-apps
- Aug 3, 2026
Categories
- firecrawl
- AI Agents, Data & Retrieval
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Days since push
- firecrawl
- 0d
- awesome-llm-apps
- 4d
Open issues (now)
- firecrawl
- 508
- awesome-llm-apps
- 13
Stars delta
- firecrawl
- +16k (30d)
- awesome-llm-apps
- +14k (30d)
Open issues delta
- firecrawl
- +106 (30d)
- awesome-llm-apps
- +6 (30d)
Owner type
- firecrawl
- Organization
- awesome-llm-apps
- User
Full report
- firecrawl
- Trust report
- awesome-llm-apps
- Trust report
Choose firecrawl if…
- firecrawl is primarily TypeScript; awesome-llm-apps is Python.
- License: firecrawl is AGPL-3.0, awesome-llm-apps 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 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 awesome-llm-apps if…
- awesome-llm-apps is primarily Python; firecrawl is TypeScript.
- License: awesome-llm-apps is Apache-2.0, firecrawl is AGPL-3.0.
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
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 (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Aug 7, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: firecrawl 168k · awesome-llm-apps 131k (synced Aug 16, 2026).
Common questions
- What is the difference between firecrawl and awesome-llm-apps?
- firecrawl: The API to search, scrape, and interact with the web at scale. 🔥. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.
- When should I choose firecrawl over awesome-llm-apps?
- Choose firecrawl over awesome-llm-apps when firecrawl is primarily TypeScript; awesome-llm-apps is Python; License: firecrawl is AGPL-3.0, awesome-llm-apps 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 awesome-llm-apps over firecrawl?
- Choose awesome-llm-apps over firecrawl when awesome-llm-apps is primarily Python; firecrawl is TypeScript; License: awesome-llm-apps is Apache-2.0, firecrawl is AGPL-3.0; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- 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 awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- Is firecrawl or awesome-llm-apps more popular on GitHub?
- firecrawl has more GitHub stars (167,794 vs 131,230). Stars measure visibility, not whether either tool fits your constraints.
- Are firecrawl and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (firecrawl: AGPL-3.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to firecrawl or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at firecrawl alternatives and awesome-llm-apps alternatives (firecrawl markdown twin, awesome-llm-apps 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 awesome-llm-apps?
- firecrawl: Very active. awesome-llm-apps: 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 awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: firecrawl trust report; awesome-llm-apps trust report.