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Comparison

surf vs transformers

Verdict

Pick surf when surf is primarily TypeScript; transformers is Python; pick transformers when transformers is primarily Python; surf is TypeScript.

Markdown twin · surf alternatives · transformers alternatives

GraphCanon updated today

surf logo

surf

deta/surf

★ 3.5kpushed Jul 8, 2026
vs
transformers logo

transformers

huggingface/transformers

★ 162kpushed Jul 11, 2026

Trust & integrity

Signalsurftransformers
Maintenance
Very active (6d since push)
As of today · github_public_v1
Very active (0d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of today · osv@v1
No lockfile (source not queried)
As of 4d · 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
surf trust reporttransformers trust reportTrust methodology

Tagline

surf
Personal AI Notebooks. Organize files & webpages and generate notes from them. Open source, local & open data, open model choice (incl. local).
transformers
Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models

Stars

surf
3.5k
transformers
162k

Forks

surf
255
transformers
34k

Open issues

surf
32
transformers
2.5k

Language

surf
TypeScript
transformers
Python

Adopt for

surf
-
transformers
Transformers is a versatile library for training and deploying state-of-the-art models across various domains such as NLP, computer vision, speech recognition, and multi-modal tasks. It supports PyTorch 2.4+ and Python 3

Persona

surf
-
transformers
-

Runtime

surf
-
transformers
-

License

surf
Apache-2.0
transformers
Transformers is distributed under the Apache-2.0 license, ensuring wide permissions for use in both open-source and proprietary systems.

Last pushed

surf
Jul 8, 2026
transformers
Jul 11, 2026

Categories

surf
Inference & Serving, LLM Frameworks
transformers
Computer Vision, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio

Trust and health

Days since push

surf
6d
transformers
0d

Open issues (now)

surf
32
transformers
2.5k

Full report

surf
Trust report
transformers
Trust report

Choose surf if…

  • surf is primarily TypeScript; transformers is Python.
  • Tags unique to surf: claude, deepseek, gemma, knowledge-base.
  • Leaner open-issue backlog (32).

When NOT to use surf

  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
GitHubDetails

Choose transformers if…

  • transformers is primarily Python; surf is TypeScript.
  • Requirements: Min 4 GB RAM; Works with Python 3.10+ and PyTorch 2.4+.
  • Tags unique to transformers: audio, deep-learning, machine-learning, natural-language-processing.
  • Also covers Computer Vision, Model Training, Speech & Audio.
  • The library excels in scenarios where you need highly optimized and pre-trained models available for a wide range of data types including text, vision, audio, and multimodal inputs.

When NOT to use transformers

  • If the specific task or dataset size does not benefit from state-of-the-art models due to computational inefficiency or overfitting, alternatives may be more suitable.
  • It might not be the best choice for projects that strictly require compatibility with frameworks other than PyTorch and Python versions older than 3.10.
GitHubDetails

Explore

surf trust report →transformers trust report →Inference & Serving category →LLM Frameworks category →Computer Vision category →Model Training category →Speech & Audio category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: surf 3.5k · transformers 162k (synced Jul 15, 2026).

Common questions

What is the difference between surf and transformers?
surf: Personal AI Notebooks. Organize files & webpages and generate notes from them. Open source, local & open data, open model choice (incl. local).. transformers: Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models. See the comparison table for live GitHub stats and shared categories.
When should I choose surf over transformers?
Choose surf over transformers when surf is primarily TypeScript; transformers is Python; Tags unique to surf: claude, deepseek, gemma, knowledge-base; Leaner open-issue backlog (32).
When should I choose transformers over surf?
Choose transformers over surf when transformers is primarily Python; surf is TypeScript; Requirements: Min 4 GB RAM; Works with Python 3.10+ and PyTorch 2.4+; Tags unique to transformers: audio, deep-learning, machine-learning, natural-language-processing; Also covers Computer Vision, Model Training, Speech & Audio; The library excels in scenarios where you need highly optimized and pre-trained models available for a wide range of data types including text, vision, audio, and multimodal inputs.
When should I avoid surf?
Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid transformers?
If the specific task or dataset size does not benefit from state-of-the-art models due to computational inefficiency or overfitting, alternatives may be more suitable. It might not be the best choice for projects that strictly require compatibility with frameworks other than PyTorch and Python versions older than 3.10.
Is surf or transformers more popular on GitHub?
transformers has more GitHub stars (162,482 vs 3,476). Stars measure visibility, not whether either tool fits your constraints.
Are surf and transformers open source?
Yes - both are open-source projects on GitHub (surf: Apache-2.0, transformers: Apache-2.0).
Where can I find alternatives to surf or transformers?
GraphCanon lists graph-backed alternatives at surf alternatives and transformers alternatives (surf markdown twin, transformers 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 transformers?
surf: Very active. transformers: 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 transformers?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: surf trust report; transformers trust report.

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