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Amplitude vs PyTorch

Amplitude logo

Amplitude

Technology

The digital analytics platform to understand your users

From
Free
Rated
-
Full reviewWebsite
PyTorch logo

PyTorch

Machine Learning & Data Science

Deep learning framework with dynamic computation graphs

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Amplitude metered on event volume, so instrumenting more of a product raises the bill even if the audience does not grow; PyTorch dynamic computation graph can be less efficient for production inference than static graphs
  • They diverge on capability: Amplitude covers Event tracking, PyTorch covers Dynamic computation graphs.

Where they differ

Only the attributes on which Amplitude and PyTorch actually diverge.

Attributes where Amplitude and PyTorch differ
AttributeAmplitudePyTorch
PlatformsWeb, Ios, Android, ApiLinux, Windows, macOS
CategoryTechnologyMachine Learning & Data Science
Founded20122016

Identical on both: starting price (Free), pricing model (Unknown), 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 Amplitude

  • Event tracking
  • User segmentation
  • Funnel analysis
  • Retention analysis
  • Cohort analysis
  • A/B testing
  • Revenue analytics
  • Predictive analytics

Only in PyTorch

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

What people use each for

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

Amplitude

  • User behavior analysisnot PyTorch
  • Feature adoption trackingnot PyTorch
  • Conversion rate optimizationnot PyTorch
  • Customer journey mappingnot PyTorch
  • Retention improvementnot PyTorch

PyTorch

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

Where each one falls short

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

Amplitude

  • Metered on event volume, so instrumenting more of a product raises the bill even if the audience does not grow
  • The free plan covers 2M events a month
  • The Plus plan scales to 70M events, above which pricing is custom
  • Growth and Enterprise pricing is not published

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

Amplitude

Free
  • StarterFree
    • 2 million events per month
  • Plus$49/month
    • $0.049 per MTU
    • Up to 300k MTUs
    • Advanced analytics
  • GrowthFree
    • Causal insights
    • Feature experimentation
    • Real-time streaming
  • EnterpriseFree
    • Cross-product analysis
    • Advanced permissions
    • Dedicated account manager

PyTorch

Free

No published plan breakdown. See the PyTorch review.

Which should you pick?

Choose Amplitude if

  • You need event tracking.
  • You want to start without paying.
  • You work on Web, Ios, Android, Api.
  • You also want user segmentation.
Amplitude 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 Amplitude or PyTorch better?
Neither clearly leads. Amplitude 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, Amplitude or PyTorch?
Amplitude starts at Free and PyTorch at Free.
Does Amplitude or PyTorch run on more platforms?
Amplitude runs on Web, Ios, Android, Api. PyTorch runs on Linux, Windows, macOS.
Can I use Amplitude for free?
Both have a free tier, so you can try either at no cost before committing.
What is Amplitude best used for?
Amplitude is most often used for user behavior analysis, feature adoption tracking, conversion rate optimization, customer journey mapping. Of those, user behavior analysis and feature adoption tracking are not what PyTorch is typically brought in for.
What can Amplitude do that PyTorch cannot?
Amplitude covers Event tracking, User segmentation, Funnel analysis, Retention analysis. PyTorch covers Dynamic computation graphs, Automatic differentiation, GPU acceleration, Distributed training.

Answered from the vendors’ own pages

Amplitude: Does Amplitude have a free plan?

Yes, Amplitude offers a free Starter plan with 2 million events per month and access to the entire platform including analytics, session replay, and experimentation features.

Source
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
Amplitude: What is Amplitude's pricing based on?

Amplitude's pricing is based on the number of monthly tracked users (MTUs), data volume, and advanced features selected. The Plus plan starts at $49 per month with a rate of $0.049 per MTU.

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
Amplitude: What analytics features does every Amplitude plan include?

Every plan includes access to the full platform: analytics, session replay, feature experimentation, web experimentation, guides and surveys, activation, and AI tools like AI Feedback and AI Assistant.

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
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