Machine Learning & Data Science · head to head
Weka vs Comet ML
Weka
Machine Learning & Data Science
Collection of machine learning algorithms
- From
- Free
- Rated
- -
Comet ML
Machine Learning & Data Science
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Weka the package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution; Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention
- They diverge on capability: Weka covers Classification, Comet ML covers Experiment tracking.
Where they differ
Only the attributes on which Weka and Comet ML actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).
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 Weka
- Classification
- Regression
- Clustering
- Association rules
- Feature selection
- Java
- R
- Python
Only in Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
Both cover
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Weka
- Teaching and exploring classic machine learning algorithms through a GUInot Comet ML
- Running data mining experiments and preprocessing without writing codenot Comet ML
Comet ML
- Tracking machine learning experiments, metrics and model versionsnot Weka
- Monitoring and evaluating LLM applications with tracingnot Weka
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Weka
- The package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
- Weka is split into a stable 3.8 branch that receives only bug fixes and compatibility-safe upgrades and a 3.9 development branch that may receive features that break compatibility
- Weka requires a 64-bit Java VM; the bundled installers ship Bellsoft OpenJDK 25 per platform and architecture
Comet ML
- The free cloud tier caps data at 25,000 spans a month with 60 day retention
- Retention stays at 60 days even on the paid Pro plan, and extending it is a $29 per 100k spans add on
- Overage on Pro is $5 per additional 100,000 spans
- The free MLOps tier is a single user with 100 GB of storage and training hours governed by a fair usage policy
- Pro MLOps is $19 per user per month and caps the team at 10 users
Pricing, plan by plan
Weka
Free- Open SourceFree
- All ML algorithms
- GUI and CLI
- Java API
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
Which should you pick?
Choose Weka if
- You need classification.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want regression.
Choose Comet ML if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Linux, Mac, Windows.
- You also want code versioning.
Questions people ask
- Is Weka or Comet ML better?
- Neither clearly leads. Weka starts at Free and Comet ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Weka or Comet ML?
- Weka starts at Free and Comet ML at Free.
- Does Weka or Comet ML run on more platforms?
- Weka runs on Linux, Mac, Windows. Comet ML runs on Web, Linux, Mac, Windows.
- Can I use Weka for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Weka best used for?
- Weka is most often used for teaching and exploring classic machine learning algorithms through a gui, running data mining experiments and preprocessing without writing code. Of those, teaching and exploring classic machine learning algorithms through a gui and running data mining experiments and preprocessing without writing code are not what Comet ML is typically brought in for.
- What can Weka do that Comet ML cannot?
- Weka covers Classification, Regression, Clustering, Association rules. Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Both handle Linux support, Mac support, Windows support.