Softwr

Machine Learning · head to head

Ray vs Trivy

Ray logo

Ray

Machine Learning

Scale AI and Python applications

From
Free
Rated
-
Full reviewWebsite
Trivy logo

Trivy

Cybersecurity

Open-source vulnerability and misconfiguration scanner

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Ray windows support is beta and multi node Ray clusters are untested on Windows; Trivy reports what public advisory databases know, so coverage varies by ecosystem and unfixed CVEs create noise
  • They diverge on capability: Ray covers Distributed computing, Trivy covers Multi-target scanning.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Ray and Trivy actually diverge.

Attributes where Ray and Trivy differ
AttributeRayTrivy
Pricing modelfreemiumOpen source, no licence fee
PlatformsLinux, Mac, WindowsLinux, macOS, Windows, Docker, Kubernetes
CategoryMachine LearningCybersecurity
Founded2019Unknown

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 Ray

  • Distributed computing
  • Ray Train
  • Ray Tune
  • RLlib
  • Ray Serve
  • PyTorch
  • TensorFlow
  • Hugging Face

Only in Trivy

  • Multi-target scanning
  • Vulnerability detection
  • Misconfiguration checks
  • Secret detection

What people use each for

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

Ray

  • Distributed AI model training and servingnot Trivy
  • Large-scale data processingnot Trivy
  • Reinforcement learning workloadsnot Trivy
  • ML inference servingnot Trivy

Trivy

  • Failing a pull request when a container image introduces a known CVEnot Ray
  • Scanning Terraform and Kubernetes manifests for misconfiguration before applynot Ray
  • Catching committed secrets as part of an existing CI stepnot Ray

Where each one falls short

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

Ray

  • Windows support is beta and multi node Ray clusters are untested on Windows
  • Windows lacks copy on write forking, which raises memory requirements, and Ray code assumes UNIX filenames
  • Multi node clusters are untested on Apple Silicon Macs
  • The Java API is experimental and community supported only, and requires matching Java and Python versions
  • Python 3.13 support is beta

Trivy

  • Reports what public advisory databases know, so coverage varies by ecosystem and unfixed CVEs create noise
  • No built-in triage or exception workflow, so suppressing accepted risk is managed in config files
  • Findings are point-in-time from CI, with no continuous runtime monitoring unless you add the commercial platform

Pricing, plan by plan

Ray

Free
  • Open SourceFree
    • Full Ray framework
    • All libraries
    • Community support
  • Anyscale PlatformFree
    • Managed infrastructure
    • Enterprise support
    • SLAs

Trivy

Free
  • TrivyFree
    • Full scanner
    • Unlimited scans
    • Community support

Which should you pick?

Choose Ray if

  • You need distributed computing.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want ray train.
Ray review

Choose Trivy if

  • You need multi-target scanning.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes.
  • You also want vulnerability detection.
Trivy review

Questions people ask

Is Ray or Trivy better?
Neither clearly leads. Ray starts at Free and Trivy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Ray or Trivy?
Ray starts at Free and Trivy at Free.
Does Ray or Trivy run on more platforms?
Ray runs on Linux, Mac, Windows. Trivy runs on Linux, macOS, Windows, Docker, Kubernetes.
Can I use Ray for free?
Both have a free tier, so you can try either at no cost before committing.
What is Ray best used for?
Ray is most often used for distributed ai model training and serving, large-scale data processing, reinforcement learning workloads, ml inference serving. Of those, distributed ai model training and serving and large-scale data processing are not what Trivy is typically brought in for.
What can Ray do that Trivy cannot?
Ray covers Distributed computing, Ray Train, Ray Tune, RLlib. Trivy covers Multi-target scanning, Vulnerability detection, Misconfiguration checks, Secret detection.

Answered from the vendors’ own pages

Ray: Is Ray free?

Yes. Ray is free and open source software with over 34,800 GitHub stars and 1,000+ contributors. Users can download and use the Ray framework at no cost.

Source
Trivy: Is Trivy free?

Yes, open source from Aqua Security with no licence fee. Aqua sells a commercial platform around it.

Ray: Is there a paid option for Ray?

Yes. Anyscale, the managed platform built by Ray's creators, offers paid tiers with enterprise features like governance and advanced tooling. Specific Anyscale pricing details are not listed on the Ray website.

Source
Trivy: What can Trivy scan?

Container images, filesystems, Git repositories, Kubernetes clusters and infrastructure-as-code, for vulnerabilities, misconfigurations, secrets and licences.

Ray: Can I try Ray with credits?

Yes. New users can try Ray with $100 credit on Anyscale's managed platform to explore the service.

Source
Trivy: Does Trivy need a server?

No. It is a single binary, which is a large part of why it became a default in CI.

Share

Related pages

More on Ray

More on Trivy

Keep looking

Other head to heads