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Machine Learning · head to head

Jupyter vs Semgrep

Jupyter logo

Jupyter

Machine Learning

Interactive computing across all programming languages

From
Free
Rated
-
Semgrep logo

Semgrep

Cybersecurity

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

From
Free
Rated
-

The short version

  • Each has a real cost: Jupyter notebook format makes version control and collaboration difficult with multiple contributors; Semgrep free tier caps out at 10 contributors and 10 repositories.
  • They diverge on capability: Jupyter covers Interactive notebooks, Semgrep covers Static code scanning.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Jupyter and Semgrep actually diverge.

Attributes where Jupyter and Semgrep differ
AttributeJupyterSemgrep
Pricing modelUnknownfreemium
PlatformsWeb, Cross-platform, Linux, macOS, Windowsweb, api, linux, mac, windows
CategoryMachine LearningCybersecurity
Founded2014Unknown

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 Jupyter

  • Interactive notebooks
  • Live code execution
  • Rich visualizations
  • Markdown documentation
  • Multi-language kernels
  • Python
  • R
  • Julia

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.

Jupyter

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

Semgrep

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

Where each one falls short

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

Jupyter

  • Notebook format makes version control and collaboration difficult with multiple contributors
  • Performance degrades with large datasets due to loading entire dataset into memory
  • Debugging capabilities limited compared to traditional IDEs
  • No paid support or commercial backing

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

Jupyter

Free

No published plan breakdown. See the Jupyter 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 Jupyter if

  • You need interactive notebooks.
  • You want to start without paying.
  • You work on Web, Cross-platform, Linux, macOS, Windows.
  • You also want live code execution.

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.

Questions people ask

Is Jupyter or Semgrep better?
Neither clearly leads. Jupyter 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, Jupyter or Semgrep?
Jupyter starts at Free and Semgrep at Free.
Does Jupyter or Semgrep run on more platforms?
Jupyter runs on Web, Cross-platform, Linux, macOS, Windows. Semgrep runs on web, api, linux, mac, windows.
Can I use Jupyter for free?
Both have a free tier, so you can try either at no cost before committing.
What is Jupyter best used for?
Jupyter is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Semgrep is typically brought in for.
What can Jupyter do that Semgrep cannot?
Jupyter covers Interactive notebooks, Live code execution, Rich visualizations, Markdown documentation. Semgrep covers Static code scanning, Supply chain scanning, Secrets detection, Cross-file analysis.

Answered from the vendors’ own pages

Jupyter: Is Jupyter free to use?

Yes, Jupyter is completely free and open-source under the BSD license. There are no paid plans or commercial support requirements.

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
Jupyter: What programming languages does Jupyter support?

Jupyter supports Python plus over 40 additional programming languages including R, Julia, Scala, and many others through different kernels.

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
Jupyter: What is JupyterLab?

JupyterLab is the successor to classic Jupyter Notebook, adding a file browser, multiple tabs, terminal access, and an extension ecosystem for enhanced functionality.

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
Semgrep: Is there special pricing for startups?

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

Source
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