Home/Compare/surf vs langextract

Comparison

surf vs langextract

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 langextract if langextract is a Python library designed for extracting structured data from unstructured text using large language models, offering precise source grounding and interactive visualization.

Markdown twin · surf alternatives · langextract alternatives

GraphCanon updated Sep 20, 2026

6views this month

surf logo

surf

deta/surf

★ 3.6kpushed Aug 24, 2026
vs
langextract logo

langextract

google/langextract

★ 39kpushed Sep 13, 2026

Trust & integrity

Signalsurflangextract
Maintenance
Active (26d since push)
As of Sep 20, 2026 · github_public_v1
Very active (4d 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.
langextract
Python library for extracting structured information from unstructured text using LLMs

Stars

surf
3.6k
langextract
39k

Forks

surf
251
langextract
2.7k

Open issues

surf
32
langextract
125

Language

surf
TypeScript
langextract
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.
langextract
Langextract is a Python library designed for extracting structured data from unstructured text using large language models, offering precise source grounding and interactive visualization.

Persona

surf
-
langextract
-

Runtime

surf
-
langextract
-

License

surf
Apache-2.0
langextract
Langextract is available under the Apache-2.0 license, allowing for broad use in both commercial and non-commercial projects with the requirement to include the license text and copyright notice.

Last pushed

surf
Aug 24, 2026
langextract
Sep 13, 2026

Categories

surf
Data & Retrieval, Developer Tools, LLM Frameworks
langextract
Data & Retrieval, LLM Frameworks

Trust and health

Maintenance

surf
Active (82%)
langextract
Very active (96%)

Days since push

surf
26d
langextract
4d

Open issues (now)

surf
32
langextract
125

Stars delta

surf
+50 (30d)
langextract
+214 (30d)

Open issues delta

surf
0 (30d)
langextract
+3 (30d)

Full report

langextract
Trust report

Choose surf if…

  • surf is primarily TypeScript; langextract is Python.
  • Tags unique to surf: claude, deepseek, gemma, knowledge-base.
  • Also covers Developer Tools.
  • 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 langextract if…

  • langextract is primarily Python; surf is TypeScript.
  • Pricing: The library itself is free to use, but using cloud-hosted models like Gemini may incur costs based on the provider's pricing model..
  • Requirements: Min 4 GB RAM; Requires Docker; Installation requires Python and pip.; For cloud-hosted models, an API key is required and must be configured as per the documentation..
  • Tags unique to langextract: gemini, gemini-ai, gemini-api, gemini-flash.
  • langextract ships Docker support for self-hosted deployment.
  • When you need to extract structured data from unstructured text with precise source grounding and interactive visualization capabilities.

When NOT to use langextract

  • If your project does not require the use of large language models for information extraction, as langextract is specifically designed around this functionality.
  • When you do not have access to or do not wish to use cloud-hosted models like Gemini, as langextract requires an API key for these services.
  • If your project does not need interactive visualization or precise source grounding features, as these are specific to langextract and may not be necessary for all use cases.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: surf 3.6k · langextract 39k (synced Sep 20, 2026).

Common questions

What is the difference between surf and langextract?
surf: Tools for organizing files and webpages locally to generate notes using personal AI notebooks.. langextract: Python library for extracting structured information from unstructured text using LLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose surf over langextract?
Choose surf over langextract when surf is primarily TypeScript; langextract is Python; Tags unique to surf: claude, deepseek, gemma, knowledge-base; Also covers Developer Tools; Need a robust integration with both local and remote language models for comprehensive note creation.
When should I choose langextract over surf?
Choose langextract over surf when langextract is primarily Python; surf is TypeScript; Pricing: The library itself is free to use, but using cloud-hosted models like Gemini may incur costs based on the provider's pricing model.; Requirements: Min 4 GB RAM; Requires Docker; Installation requires Python and pip.; For cloud-hosted models, an API key is required and must be configured as per the documentation.; Tags unique to langextract: gemini, gemini-ai, gemini-api, gemini-flash; langextract ships Docker support for self-hosted deployment; When you need to extract structured data from unstructured text with precise source grounding and interactive visualization capabilities.
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 langextract?
If your project does not require the use of large language models for information extraction, as langextract is specifically designed around this functionality. When you do not have access to or do not wish to use cloud-hosted models like Gemini, as langextract requires an API key for these services. If your project does not need interactive visualization or precise source grounding features, as these are specific to langextract and may not be necessary for all use cases.
Is surf or langextract more popular on GitHub?
langextract has more GitHub stars (38,614 vs 3,572). Stars measure visibility, not whether either tool fits your constraints.
Are surf and langextract open source?
Yes - both are open-source projects on GitHub (surf: Apache-2.0, langextract: Apache-2.0).
Where can I find alternatives to surf or langextract?
GraphCanon lists graph-backed alternatives at surf alternatives and langextract alternatives (surf markdown twin, langextract 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 langextract?
surf: Active. langextract: 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 surf and langextract?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: surf trust report; langextract trust report.

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