Comparison
surf vs Scrapegraph-ai
Verdict
Pick surf if surf is an open-source tool for managing personal notes by integrating local or remote AI models to process files and webpages; pick Scrapegraph-ai if scrapegraph-ai is a Python-based AI-driven web scraping tool designed for data extraction and web search, offering an alternative to traditional scraping methods with its AI capabilities.
Markdown twin · surf alternatives · Scrapegraph-ai alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | surf | Scrapegraph-ai |
|---|---|---|
| Maintenance | Active (26d since push) As of Sep 20, 2026 · github_public_v1 | Active (10d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- surf
- Tools for organizing files and webpages locally to generate notes using personal AI notebooks.
- Scrapegraph-ai
- Python scraper based on AI
Stars
- surf
- 3.6k
- Scrapegraph-ai
- 31k
Forks
- surf
- 251
- Scrapegraph-ai
- 3.1k
Open issues
- surf
- 32
- Scrapegraph-ai
- 17
Language
- surf
- TypeScript
- Scrapegraph-ai
- Python
Adopt for
- surf
- surf is an open-source tool for managing personal notes by integrating local or remote AI models to process files and webpages.
- Scrapegraph-ai
- Scrapegraph-ai is a Python-based AI-driven web scraping tool designed for data extraction and web search, offering an alternative to traditional scraping methods with its AI capabilities.
Persona
- surf
- -
- Scrapegraph-ai
- -
Runtime
- surf
- -
- Scrapegraph-ai
- -
License
- surf
- Apache-2.0
- Scrapegraph-ai
- MIT License
Last pushed
- surf
- Aug 24, 2026
- Scrapegraph-ai
- Sep 7, 2026
Categories
- surf
- Data & Retrieval, Developer Tools, LLM Frameworks
- Scrapegraph-ai
- Data & Retrieval, Developer Tools
Trust and health
Days since push
- surf
- 26d
- Scrapegraph-ai
- 10d
Open issues (now)
- surf
- 32
- Scrapegraph-ai
- 17
Stars delta
- surf
- +50 (30d)
- Scrapegraph-ai
- +1.4k (30d)
Open issues delta
- surf
- 0 (30d)
- Scrapegraph-ai
- +5 (30d)
Full report
- surf
- Trust report
- Scrapegraph-ai
- Trust report
Choose surf if…
- surf is primarily TypeScript; Scrapegraph-ai is Python.
- License: surf is Apache-2.0, Scrapegraph-ai is MIT.
- Tags unique to surf: claude, deepseek, gemma, knowledge-base.
- Also covers LLM Frameworks.
- Need a robust integration with both local and remote language models for comprehensive note creation
When NOT to use surf
- Prefer using proprietary, closed-source tools that do not allow open model choices
- Require extensive cloud-based collaboration features among multiple users
Choose Scrapegraph-ai if…
- Scrapegraph-ai is primarily Python; surf is TypeScript.
- License: Scrapegraph-ai is MIT, surf is Apache-2.0.
- Pricing: Free to use under the MIT License, with no explicit mention of paid features in the repository..
- Requirements: Min 2 GB RAM; Requires Python environment to run..
- Tags unique to Scrapegraph-ai: ai-crawler, ai-scraping, ai-search, crawler.
- Scrapegraph-ai ships Docker support for self-hosted deployment.
- When you need advanced AI-driven scraping capabilities that can adapt to complex web structures and extract data more intelligently than traditional scrapers.
When NOT to use Scrapegraph-ai
- If your project requires a more lightweight solution, as Scrapegraph-ai's AI features might introduce additional overhead.
- When your scraping needs are simple and do not require the sophisticated AI capabilities that Scrapegraph-ai offers, opting for a simpler tool might be more efficient.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (deta/surf) · observed Sep 20, 2026
- GitHub forks (deta/surf) · observed Sep 20, 2026
- Last push (deta/surf) · observed Aug 24, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (ScrapeGraphAI/Scrapegraph-ai) · observed Sep 20, 2026
- GitHub forks (ScrapeGraphAI/Scrapegraph-ai) · observed Sep 20, 2026
- Last push (ScrapeGraphAI/Scrapegraph-ai) · observed Sep 7, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: surf 3.6k · Scrapegraph-ai 31k (synced Sep 20, 2026).
Common questions
- What is the difference between surf and Scrapegraph-ai?
- surf: Tools for organizing files and webpages locally to generate notes using personal AI notebooks.. Scrapegraph-ai: Python scraper based on AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose surf over Scrapegraph-ai?
- Choose surf over Scrapegraph-ai when surf is primarily TypeScript; Scrapegraph-ai is Python; License: surf is Apache-2.0, Scrapegraph-ai is MIT; Tags unique to surf: claude, deepseek, gemma, knowledge-base; Also covers LLM Frameworks; Need a robust integration with both local and remote language models for comprehensive note creation.
- When should I choose Scrapegraph-ai over surf?
- Choose Scrapegraph-ai over surf when Scrapegraph-ai is primarily Python; surf is TypeScript; License: Scrapegraph-ai is MIT, surf is Apache-2.0; Pricing: Free to use under the MIT License, with no explicit mention of paid features in the repository.; Requirements: Min 2 GB RAM; Requires Python environment to run.; Tags unique to Scrapegraph-ai: ai-crawler, ai-scraping, ai-search, crawler; Scrapegraph-ai ships Docker support for self-hosted deployment; When you need advanced AI-driven scraping capabilities that can adapt to complex web structures and extract data more intelligently than traditional scrapers.
- When should I avoid surf?
- Prefer using proprietary, closed-source tools that do not allow open model choices Require extensive cloud-based collaboration features among multiple users
- When should I avoid Scrapegraph-ai?
- If your project requires a more lightweight solution, as Scrapegraph-ai's AI features might introduce additional overhead. When your scraping needs are simple and do not require the sophisticated AI capabilities that Scrapegraph-ai offers, opting for a simpler tool might be more efficient.
- Is surf or Scrapegraph-ai more popular on GitHub?
- Scrapegraph-ai has more GitHub stars (31,068 vs 3,572). Stars measure visibility, not whether either tool fits your constraints.
- Are surf and Scrapegraph-ai open source?
- Yes - both are open-source projects on GitHub (surf: Apache-2.0, Scrapegraph-ai: MIT).
- Where can I find alternatives to surf or Scrapegraph-ai?
- GraphCanon lists graph-backed alternatives at surf alternatives and Scrapegraph-ai alternatives (surf markdown twin, Scrapegraph-ai 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, surf or Scrapegraph-ai?
- surf: Active. Scrapegraph-ai: 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 surf and Scrapegraph-ai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: surf trust report; Scrapegraph-ai trust report.