Machine Learning & Data Science · head to head
Comet ML vs Orange
Comet ML
Machine Learning & Data Science
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
Orange
Machine Learning & Data Science
Data mining and visualization toolkit
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; 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
- They diverge on capability: Comet ML covers Experiment tracking, Orange covers Visual programming.
Where they differ
Only the attributes on which Comet ML and Orange 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 Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
Only in Orange
- Visual programming
- Data visualization
- Machine learning
- Text mining
- Bioinformatics
- Python
- PyQt
Both cover
- scikit-learn
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Comet ML
- Tracking machine learning experiments, metrics and model versionsnot Orange
- Monitoring and evaluating LLM applications with tracingnot Orange
Orange
- Visual programming for data mining and machine learning workflowsnot Comet ML
- Teaching data science without writing codenot Comet ML
- Exploratory data visualisation and clustering on tabular datanot Comet ML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
Pricing, plan by plan
Comet ML
Free- FreeFree
- 100 experiments
- Basic features
- Community support
- Team$179/month
- Unlimited experiments
- Team collaboration
- Priority support
Orange
Free- Open SourceFree
- Visual programming
- Machine learning
- Data visualization
Which should you pick?
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.
Choose Orange if
- You need visual programming.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want data visualization.
Questions people ask
- Is Comet ML or Orange better?
- Neither clearly leads. Comet ML starts at Free and Orange at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or Orange?
- Comet ML starts at Free and Orange at Free.
- Does Comet ML or Orange run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. Orange runs on Linux, Mac, Windows.
- Can I use Comet ML for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Comet ML best used for?
- Comet ML is most often used for tracking machine learning experiments, metrics and model versions, monitoring and evaluating llm applications with tracing. Of those, tracking machine learning experiments, metrics and model versions and monitoring and evaluating llm applications with tracing are not what Orange is typically brought in for.
- What can Comet ML do that Orange cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. Orange covers Visual programming, Data visualization, Machine learning, Text mining. Both handle scikit-learn, Linux support, Mac support, Windows support.
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- Orange vs Google Vertex AI
- Orange vs Azure Machine Learning
- Orange vs DataRobot
- Orange vs Snowflake
- Orange vs TensorFlow
- Orange vs Keras
- Orange vs MLflow
- Orange vs Jupyter
- Orange vs PyTorch
- Orange vs scikit-learn
- Orange vs Apache Spark MLlib
- Orange vs Weights & Biases
- Orange vs Alteryx
- Orange vs Anaconda
- Orange vs Databricks
- Orange vs Dataiku
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