Softwr

Software · head to head

KNIME vs PyTorch

KNIME logo

KNIME

Software

Open source data analytics and integration platform

From
Free
Rated
-
Full reviewWebsite
PyTorch logo

PyTorch

Software

Deep learning framework with dynamic computation graphs

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: KNIME the free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub; PyTorch dynamic computation graph can be less efficient for production inference than static graphs
  • They diverge on capability: KNIME covers Visual workflows, PyTorch covers Dynamic computation graphs.

Where they differ

Only the attributes on which KNIME and PyTorch actually diverge.

Attributes where KNIME and PyTorch differ
AttributeKNIMEPyTorch
Pricing modelfreemiumUnknown
PlatformsLinux, Mac, WindowsLinux, Windows, macOS
Founded20042016

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

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 KNIME

  • Visual workflows
  • Data preprocessing
  • Machine learning
  • Visualization
  • Reporting
  • Python
  • R
  • Spark

Only in PyTorch

  • Dynamic computation graphs
  • Automatic differentiation
  • GPU acceleration
  • Distributed training
  • TorchScript
  • TorchVision
  • TorchText
  • TorchAudio

Both cover

  • Linux support
  • Mac support
  • Windows support

What people use each for

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

KNIME

  • Building data pipelines and analytics workflows visually rather than in codenot PyTorch
  • Connecting and blending data across many sources for analysisnot PyTorch

PyTorch

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

Where each one falls short

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

KNIME

  • The free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub
  • The free AI assistant is limited to 20 interactions a month
  • Paid workflow runtime is metered in credits, with 120 included on Pro and overage at $0.025 per vCore minute
  • The Team plan at $99 a month includes 3 members, with additional seats at $49 a month each
  • Business Hub pricing is on request, and its tiers are capped at 4, 8 and 16 vCores with 5, 5 and 20 users

PyTorch

  • Dynamic computation graph can be less efficient for production inference than static graphs
  • Requires more manual code for distributed training compared to some alternatives
  • Documentation focused heavily on research use cases rather than production deployment

Pricing, plan by plan

KNIME

Free
  • Analytics PlatformFree
    • Visual workflows
    • All nodes
    • Community extensions
  • ServerFree
    • Team collaboration
    • Workflow automation
    • REST API

PyTorch

Free

No published plan breakdown. See the PyTorch review.

Which should you pick?

Choose KNIME if

  • You need visual workflows.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want data preprocessing.
KNIME review

Choose PyTorch if

  • You need dynamic computation graphs.
  • You want to start without paying.
  • You work on Linux, Windows, macOS.
  • You also want automatic differentiation.
PyTorch review

Questions people ask

Is KNIME or PyTorch better?
Neither clearly leads. KNIME starts at Free and PyTorch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, KNIME or PyTorch?
KNIME starts at Free and PyTorch at Free.
Does KNIME or PyTorch run on more platforms?
KNIME runs on Linux, Mac, Windows. PyTorch runs on Linux, Windows, macOS.
Can I use KNIME for free?
Both have a free tier, so you can try either at no cost before committing.
What is KNIME best used for?
KNIME is most often used for building data pipelines and analytics workflows visually rather than in code, connecting and blending data across many sources for analysis. Of those, building data pipelines and analytics workflows visually rather than in code and connecting and blending data across many sources for analysis are not what PyTorch is typically brought in for.
What can KNIME do that PyTorch cannot?
KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization. PyTorch covers Dynamic computation graphs, Automatic differentiation, GPU acceleration, Distributed training. Both handle Linux support, Mac support, Windows support.

Answered from the vendors’ own pages

PyTorch: Is PyTorch free and open source?

Yes. PyTorch is an open source machine learning framework that is completely free to use. It was originally created and open-sourced by Facebook (now Meta) in 2016.

Source
PyTorch: What platforms does PyTorch support?

PyTorch supports Linux, Windows, and macOS. It provides strong GPU acceleration through CUDA and other backends for high-performance computing.

Source
PyTorch: Can I use PyTorch for production deployments?

Yes. PyTorch provides graph-based execution, distributed training, mobile deployment, and quantization features to support production deployments.

Source
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on KNIME

More on PyTorch

Keep looking

Other head to heads