Comparison
firecrawl vs deepfabric
Verdict
Pick firecrawl when firecrawl is primarily TypeScript; deepfabric is Python; pick deepfabric when deepfabric is primarily Python; firecrawl is TypeScript.
Markdown twin · firecrawl alternatives · deepfabric alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | firecrawl | deepfabric |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Active (7d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of today · none |
Tagline
- firecrawl
- The API to search, scrape, and interact with the web at scale. 🔥
- deepfabric
- Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
Stars
- firecrawl
- 149k
- deepfabric
- 877
Forks
- firecrawl
- 8.5k
- deepfabric
- 83
Open issues
- firecrawl
- 395
- deepfabric
- 23
Language
- firecrawl
- TypeScript
- deepfabric
- 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.
- deepfabric
- -
Persona
- firecrawl
- -
- deepfabric
- -
Runtime
- firecrawl
- -
- deepfabric
- -
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.
- deepfabric
- Apache-2.0
Last pushed
- firecrawl
- Jul 11, 2026
- deepfabric
- Jul 3, 2026
Categories
- firecrawl
- AI Agents, Data & Retrieval
- deepfabric
- AI Agents, Data & Retrieval, Model Training
Trust and health
Maintenance
- firecrawl
- Very active (96%)
- deepfabric
- Active (82%)
Days since push
- firecrawl
- 0d
- deepfabric
- 7d
Open issues (now)
- firecrawl
- 395
- deepfabric
- 23
Full report
- firecrawl
- Trust report
- deepfabric
- Trust report
Choose firecrawl if…
- firecrawl is primarily TypeScript; deepfabric is Python.
- License: firecrawl is AGPL-3.0, deepfabric 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 deepfabric if…
- deepfabric is primarily Python; firecrawl is TypeScript.
- License: deepfabric is Apache-2.0, firecrawl is AGPL-3.0.
- Tags unique to deepfabric: agents, ai, data-science, dataset.
- Also covers Model Training.
When NOT to use deepfabric
- 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.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
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 Jul 11, 2026
- GitHub forks (firecrawl/firecrawl) · observed Jul 11, 2026
- Last push (firecrawl/firecrawl) · observed Jul 11, 2026
- License file (AGPL-3.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (nolabs-ai/deepfabric) · observed Jul 11, 2026
- GitHub forks (nolabs-ai/deepfabric) · observed Jul 11, 2026
- Last push (nolabs-ai/deepfabric) · observed Jul 3, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: firecrawl 149k · deepfabric 877 (synced Jul 11, 2026).
Common questions
- What is the difference between firecrawl and deepfabric?
- firecrawl: The API to search, scrape, and interact with the web at scale. 🔥. deepfabric: Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline. See the comparison table for live GitHub stats and shared categories.
- When should I choose firecrawl over deepfabric?
- Choose firecrawl over deepfabric when firecrawl is primarily TypeScript; deepfabric is Python; License: firecrawl is AGPL-3.0, deepfabric 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 deepfabric over firecrawl?
- Choose deepfabric over firecrawl when deepfabric is primarily Python; firecrawl is TypeScript; License: deepfabric is Apache-2.0, firecrawl is AGPL-3.0; Tags unique to deepfabric: agents, ai, data-science, dataset; Also covers Model Training.
- 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 deepfabric?
- 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. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is firecrawl or deepfabric more popular on GitHub?
- firecrawl has more GitHub stars (149,109 vs 877). Stars measure visibility, not whether either tool fits your constraints.
- Are firecrawl and deepfabric open source?
- Yes - both are open-source projects on GitHub (firecrawl: AGPL-3.0, deepfabric: Apache-2.0).
- Where can I find alternatives to firecrawl or deepfabric?
- GraphCanon lists graph-backed alternatives at firecrawl alternatives and deepfabric alternatives (firecrawl markdown twin, deepfabric 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 deepfabric?
- firecrawl: Very active. deepfabric: 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 deepfabric?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: firecrawl trust report; deepfabric trust report.