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Machine Learning · head to head

Hugging Face vs Semgrep

Hugging Face logo

Hugging Face

Machine Learning

The AI community building the future

From
Free
Rated
-
Full reviewWebsite
Semgrep logo

Semgrep

Cybersecurity

Open-source static analysis tool for finding security bugs and enforcing code standards.

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Hugging Face model discovery across 3 million models lacks robust filtering and sorting by quality metrics; Semgrep free tier caps out at 10 contributors and 10 repositories.
  • They diverge on capability: Hugging Face covers Model hub, Semgrep covers Static code scanning.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Hugging Face and Semgrep actually diverge.

Attributes where Hugging Face and Semgrep differ
AttributeHugging FaceSemgrep
Pricing modelUnknownfreemium
PlatformsWeb, APIweb, api, linux, mac, windows
CategoryMachine LearningCybersecurity
Founded2016Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Hugging Face

  • Model hub
  • Datasets
  • Spaces
  • Transformers library
  • GitHub
  • Cloud providers
  • MLOps tools
  • Web support

Only in Semgrep

  • Static code scanning
  • Supply chain scanning
  • Secrets detection
  • Cross-file analysis
  • AI-powered triage and remediation
  • CI/CD integration

What people use each for

The jobs each tool is most often brought in to do.

Hugging Face

  • ai tools managementnot Semgrep
  • Workflow automationnot Semgrep
  • Reportingnot Semgrep

Semgrep

  • Scanning code for security vulnerabilities in CI/CDnot Hugging Face
  • Detecting vulnerable open-source dependenciesnot Hugging Face
  • Finding hardcoded secrets before code shipsnot Hugging Face
  • Enforcing custom code standards with rule setsnot Hugging Face
  • Prioritizing findings with AI-assisted triagenot Hugging Face

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Hugging Face

  • Model discovery across 3 million models lacks robust filtering and sorting by quality metrics
  • Community-driven content means variable model quality and documentation
  • Private models and datasets require Pro subscription
  • Enterprise support and SLAs require custom arrangements

Semgrep

  • Free tier caps out at 10 contributors and 10 repositories.
  • Secrets scanning is priced as a separate module ($15/contributor) from Code and Supply Chain.
  • Self-managed repositories and custom CI/CD require the Enterprise tier.
  • AI credits are limited per tier and additional usage requires upgrading.

Pricing, plan by plan

Hugging Face

Free

No published plan breakdown. See the Hugging Face review.

Semgrep

Free
  • FreeFree
    • Up to 10 contributors
    • Code and Supply Chain scanning
    • 60 AI credits total
  • Teams$30/month
    • Code, Supply Chain, or Secrets scanning per contributor
    • Pro rules
    • AI-powered triage and remediation
  • Enterprise$undefined/month
    • On-prem support
    • Custom CI/CD
    • 50 AI credits per developer/month

Which should you pick?

Choose Hugging Face if

  • You need model hub.
  • You want to start without paying.
  • You work on Web, API.
  • You also want datasets.
Hugging Face review

Choose Semgrep if

  • You need static code scanning.
  • You want to start without paying.
  • You work on web, api, linux, mac, windows.
  • You also want supply chain scanning.
Semgrep review

Questions people ask

Is Hugging Face or Semgrep better?
Neither clearly leads. Hugging Face starts at Free and Semgrep at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Hugging Face or Semgrep?
Hugging Face starts at Free and Semgrep at Free.
Does Hugging Face or Semgrep run on more platforms?
Hugging Face runs on Web, API. Semgrep runs on web, api, linux, mac, windows.
Can I use Hugging Face for free?
Both have a free tier, so you can try either at no cost before committing.
What is Hugging Face best used for?
Hugging Face is most often used for ai tools management, workflow automation, reporting. Of those, ai tools management and workflow automation are not what Semgrep is typically brought in for.
What can Hugging Face do that Semgrep cannot?
Hugging Face covers Model hub, Datasets, Spaces, Transformers library. Semgrep covers Static code scanning, Supply chain scanning, Secrets detection, Cross-file analysis.

Answered from the vendors’ own pages

Hugging Face: Is Hugging Face free to use?

Yes. Hugging Face allows users to host and collaborate on unlimited public models, datasets, and applications at no cost. Models can be accessed and used freely from the Hub.

Source
Semgrep: What does Semgrep cost?

The Free edition covers up to 10 contributors; Teams starts at $30/contributor/month for Code scanning (Supply Chain also $30, Secrets $15); Enterprise is custom-priced.

Source
Hugging Face: How many models are available on Hugging Face?

Hugging Face Hub currently hosts nearly 3 million machine learning models across various tasks including text generation, image processing, and video generation.

Source
Semgrep: Is there a free plan, and what are its limits?

Yes, the Free edition supports up to 10 contributors and 10 repositories with Code and Supply Chain scanning plus 60 AI credits total.

Source
Hugging Face: What is the Hugging Face Inference API?

Hugging Face provides access to 45,000+ models from leading AI providers through a single unified API with no service fees, simplifying access to diverse models.

Source
Semgrep: How is usage metered?

Pricing is per contributor, defined as someone who made at least one commit to a scanned private repository in the past 90 days.

Source
Hugging Face: What content types does Hugging Face support?

Hugging Face supports text, image, video, audio, and 3D content models, allowing collaboration across multiple modalities and use cases.

Source
Semgrep: Is there special pricing for startups?

Yes, Semgrep offers special startup pricing upon request for early-stage companies.

Source
Hugging Face: What is the transformers library?

Transformers is a Hugging Face library built for natural language processing applications, providing pre-built models and utilities for NLP tasks.

Source
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