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Cybersecurity · head to head

Semgrep vs TensorFlow

Semgrep logo

Semgrep

Cybersecurity

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

From
Free
Rated
-
Full reviewWebsite
TensorFlow logo

TensorFlow

Machine Learning

Open-source machine learning framework by Google

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Semgrep free tier caps out at 10 contributors and 10 repositories.; TensorFlow pyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only
  • They diverge on capability: Semgrep covers Static code scanning, TensorFlow covers Deep learning framework.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Semgrep and TensorFlow actually diverge.

Attributes where Semgrep and TensorFlow differ
AttributeSemgrepTensorFlow
Pricing modelfreemiumUnknown
Platformsweb, api, linux, mac, windowsPython, JavaScript, C++, Java, Go, Rust
CategoryCybersecurityMachine Learning
FoundedUnknown1998

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 Semgrep

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

Only in TensorFlow

  • Deep learning framework
  • Neural network training
  • Model deployment
  • TensorBoard visualization
  • Distributed training
  • Keras
  • TensorFlow Lite
  • TensorFlow.js

What people use each for

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

Semgrep

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

TensorFlow

  • Machine learningnot Semgrep
  • Data analysisnot Semgrep
  • Model trainingnot Semgrep
  • Predictive analyticsnot Semgrep

Where each one falls short

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

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.

TensorFlow

  • PyTorch dominates NLP research ecosystem with Hugging Face Transformers starting as PyTorch-only
  • Broader ecosystem is more complex to navigate for new users compared to PyTorch's more Pythonic API
  • Performance advantage over PyTorch exists mainly at very large scale with TPUs, not for most workloads

Pricing, plan by plan

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

TensorFlow

Free

No published plan breakdown. See the TensorFlow review.

Which should you pick?

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

Choose TensorFlow if

  • You need deep learning framework.
  • You want to start without paying.
  • You work on Python, JavaScript, C++, Java, Go, Rust.
  • You also want neural network training.
TensorFlow review

Questions people ask

Is Semgrep or TensorFlow better?
Neither clearly leads. Semgrep starts at Free and TensorFlow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Semgrep or TensorFlow?
Semgrep starts at Free and TensorFlow at Free.
Does Semgrep or TensorFlow run on more platforms?
Semgrep runs on web, api, linux, mac, windows. TensorFlow runs on Python, JavaScript, C++, Java, Go, Rust.
Can I use Semgrep for free?
Both have a free tier, so you can try either at no cost before committing.
What is Semgrep best used for?
Semgrep is most often used for scanning code for security vulnerabilities in ci/cd, detecting vulnerable open-source dependencies, finding hardcoded secrets before code ships, enforcing custom code standards with rule sets. Of those, scanning code for security vulnerabilities in ci/cd and detecting vulnerable open-source dependencies are not what TensorFlow is typically brought in for.
What can Semgrep do that TensorFlow cannot?
Semgrep covers Static code scanning, Supply chain scanning, Secrets detection, Cross-file analysis. TensorFlow covers Deep learning framework, Neural network training, Model deployment, TensorBoard visualization.

Answered from the vendors’ own pages

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
TensorFlow: Can I run TensorFlow in a web browser?

Yes. TensorFlow.js allows you to develop and deploy machine learning models directly in the browser using JavaScript. It supports both WebGL GPU backend and WebAssembly backends for acceleration.

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
TensorFlow: Does TensorFlow support deployment on mobile devices?

Yes. TensorFlow Lite enables on-device machine learning on Android, iOS, Raspberry Pi, and embedded systems. LiteRT provides high-performance AI inference for resource-constrained IoT devices.

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
TensorFlow: What hardware accelerators does TensorFlow support?

TensorFlow supports GPU acceleration and Google's proprietary Tensor Processing Units (TPUs) for specialized matrix operations. Cloud TPUs offer native high-performance support for large-scale machine learning.

Source
Semgrep: Is there special pricing for startups?

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

Source
TensorFlow: Is TensorFlow free and open-source?

Yes. TensorFlow is completely free and open-source under the Apache 2.0 license. Google released TensorFlow as open-source on November 9, 2015 for anyone to use without licensing costs.

Source
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