Softwr

Machine Learning · head to head

Orange vs Syft

Orange logo

Orange

Machine Learning

Data mining and visualization toolkit

From
Free
Rated
-
Full reviewWebsite
Syft logo

Syft

Cybersecurity

Generates a software bill of materials from images, filesystems and archives

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Orange orange is licensed under the GNU General Public License version 3, so distributing modified or derived software requires releasing the source under the GPL; Syft lockfile parsing can drop packages silently. An open issue filed in August 2026 reports the yarn v1 cataloguer returning 118 of 745 packages with no error raised, which means a complete bill of materials and an 84 percent incomplete one look identical to the caller.
  • They diverge on capability: Orange covers Visual programming, Syft covers Multi-format output.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Orange and Syft actually diverge.

Attributes where Orange and Syft differ
AttributeOrangeSyft
Pricing modelopen-sourceOpen source, no licence fee
PlatformsLinux, Mac, WindowsmacOS, Linux, Windows, Docker
CategoryMachine LearningCybersecurity
Founded1996Unknown

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 Orange

  • Visual programming
  • Data visualization
  • Machine learning
  • Text mining
  • Bioinformatics
  • Python
  • scikit-learn
  • PyQt

Only in Syft

  • Multi-format output
  • Broad ecosystem coverage
  • Binary classifiers
  • In-toto attestations
  • Library and CLI
  • Pairs with Grype

What people use each for

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

Orange

  • Visual programming for data mining and machine learning workflowsnot Syft
  • Teaching data science without writing codenot Syft
  • Exploratory data visualisation and clustering on tabular datanot Syft

Syft

  • Producing a bill of materials for a customer or regulator that requires onenot Orange
  • Feeding an inventory into a vulnerability scanner rather than scanning images directlynot Orange
  • Recording what shipped in a build so a future disclosure can be answered quicklynot Orange
  • Public sector work where an SBOM is a contractual deliverablenot Orange

Where each one falls short

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

Orange

  • Orange is licensed under the GNU General Public License version 3, so distributing modified or derived software requires releasing the source under the GPL
  • The widgets and canvas are built on Qt, which is itself distributed under GPL 3.0
  • Orange add-ons may carry additional licensing requirements set in their own licence files
  • Documentation and website content are under Creative Commons Attribution-ShareAlike, which imposes an attribution and share-alike obligation on reuse
  • The software is distributed without any warranty of merchantability or fitness for a particular purpose

Syft

  • Lockfile parsing can drop packages silently. An open issue filed in August 2026 reports the yarn v1 cataloguer returning 118 of 745 packages with no error raised, which means a complete bill of materials and an 84 percent incomplete one look identical to the caller.
  • Fidelity varies sharply by ecosystem. Conan for C and C++, Haskell and Terraform get cataloguer support with no licence data, no dependency relationships and no file ownership, so a C and C++ shop gets the least from it.
  • Binary classification yields no licence or dependency metadata, and vendored or statically linked code is exactly where supply chain risk hides, so the blind spot and the risk overlap.
  • Incorrect CPE values and CPE collisions are recorded as open issues, and since Grype matches on CPE and PURL, an inventory error becomes a false negative in the security report downstream.
  • An inventory is not a risk assessment. Even a perfect bill of materials says a vulnerable version is present, never that the vulnerable function is called, and the triage burden lands entirely on the reader.

Pricing, plan by plan

Orange

Free
  • Open SourceFree
    • Visual programming
    • Machine learning
    • Data visualization

Syft

Free
  • SyftFree
    • Apache-2.0
    • No usage limits
    • Community support
  • Anchore Enterprise$undefined/year
    • Policy enforcement and reporting
    • Federal and commercial tiers
    • Pricing not published, quoted on request

Which should you pick?

Choose Orange if

  • You need visual programming.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want data visualization.
Orange review

Choose Syft if

  • You need multi-format output.
  • You want to start without paying.
  • You work on macOS, Linux, Windows, Docker.
  • You also want broad ecosystem coverage.
Syft review

Questions people ask

Is Orange or Syft better?
Neither clearly leads. Orange starts at Free and Syft at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Orange or Syft?
Orange starts at Free and Syft at Free.
Does Orange or Syft run on more platforms?
Orange runs on Linux, Mac, Windows. Syft runs on macOS, Linux, Windows, Docker.
Can I use Orange for free?
Both have a free tier, so you can try either at no cost before committing.
What is Orange best used for?
Orange is most often used for visual programming for data mining and machine learning workflows, teaching data science without writing code, exploratory data visualisation and clustering on tabular data. Of those, visual programming for data mining and machine learning workflows and teaching data science without writing code are not what Syft is typically brought in for.
What can Orange do that Syft cannot?
Orange covers Visual programming, Data visualization, Machine learning, Text mining. Syft covers Multi-format output, Broad ecosystem coverage, Binary classifiers, In-toto attestations.

Answered from the vendors’ own pages

Orange: What is the cost of Orange Data Mining?

Orange Data Mining is free open-source software available for Windows, Mac, and other platforms. There are no subscription fees, licensing costs, or paid tiers.

Source
Syft: Does Syft find vulnerabilities?

No. It produces an inventory. Grype, from the same company, matches that inventory against vulnerability feeds. They are separate tools and the distinction is frequently lost.

Orange: How is Orange Data Mining funded?

Orange Data Mining is supported through optional voluntary donations. The project encourages donations from users who value the software to support bug fixes, new features, educational content, and infrastructure maintenance.

Source
Syft: Does anything in the Anchore stack do reachability analysis?

No. Neither Syft, Grype nor the commercial Anchore platform performs call graph or reachability analysis, so none of them tells you whether a vulnerable code path is actually invoked.

Syft: Is it a CNCF or OpenSSF project?

No. It is single-vendor open source owned by Anchore, with no foundation governance. That is a different licence risk profile from Sigstore.

Syft: What does Anchore Enterprise cost?

Not published. The pricing page is contact-sales only, with named but unpriced commercial and federal tiers.

Syft: How do I know my SBOM is complete?

You largely cannot, which is the honest answer. Silent partial parsing is a known open defect, so a bill of materials used for compliance should be spot-checked against a known dependency list.

Share

Related pages

More on Orange

More on Syft

Keep looking

Other head to heads