COMET VS WEIGHTS & BIASES
MLOps for teams who’ve outgrown Weights and Biases
Predatory pricing, inflexible deployments, and unreliable performance makes WandB unusable for growing ML teams. Comet offers a more robust, reliable MLOps platform, with support for highly custom deployments, at half the price.
Trusted by the most innovative ML teams
“Comet serves as the central system of record for over 180 data scientists and 400 data engineers, providing them with full visibility into the model development process and enabling seamless collaboration.”
Andy McMahon
HEAD OF MLOPS
“Comet offers the most complete experiment tracking solution on the market. It’s brought significant value to our business.”
Olcay Cirit
Staff Research and Tech lead
“We rely on Comet to measure performance and upgrade models into production. It gives us a very robust process for model deployment and training.”
Anuradha U.
DIRECTOR OF MACHINE LEARNING
In-Depth Feature Breakdown: Comet vs Weights & Biases
Explore why data scientists and Machine Learning teams are choosing Comet over Weights & Biases.
| Feature |  |  | Category |
|---|---|---|---|
| Custom Visualizations |  Build custom visualizations with Python and Javascript |  Limited customization with Vega | Experiment Tracking |
| Experiment Run Diffing | Diff Training Runs side-by side to find out why training runs are performing differently | No Diffing mode | Experiment Tracking |
| Robust Auto-Logging | Seamless integrations with popular ML frameworks and platforms | Requires manual code to log data to platform | Experiment Tracking |
| OR Run Filtering | Filter training runs that meet specific conditions | Only support AND filtering | Experiment Tracking |
| Multiple Dashboards | Ability to generate multiple views for a project for different stakeholders | Only one dashboard per project | Experiment Tracking |
| Model Auditing | Create formal approval processes for model promotion | Limited governance capabilities | Model Registry |
| Data Drift Detection | Automatic data drift detection in production on features and output | No production monitoring | Model Monitoring |
| Model Fairness Monitoring | Uncover model bias across different data segments | No production monitoring | Model Monitoring |
| Alerts for Model Performance Degradation | Instant alerting when model performance starts to deteriorate | No production monitoring | Model Monitoring |
Monitor and manage models, from small teams to massive scale
Easy to integrate with any training environment
Add two lines of code to your notebook or script and automatically start tracking code, hyperparameters, metrics, and more, so you can compare and reproduce training runs.
Track and share training run results in real time
Comet’s ML platform gives you visibility into training runs and models so you can iterate faster.
Build your own tailored, interactive visualizations
In addition to the 30+ built-in visualizations Comet provides, you can code your own visualizations using Plotly and Matplotlib.
Track and version datasets and artifacts
Knowing what data was used to train a model is a key part of the MLOps lifecycle. Comet Artifacts allows you to track data by uploading directly to Comet’s machine learning platform or by storing a reference to it.
Manage your models and trigger deployments
Comet Model Registry allows you to keep track of your models ready for deployment. Thanks to the tight integration with Comet Experiment Management, you will have full lineage from training to production.
Monitor your models in production
The performance of models deployed to production degrade over time, either due to drift or data quality. Use Comet’s machine learning platform to identify drift and track accuracy metrics using baselines automatically pulled from training runs.
Evaluate and optimize LLM apps and agents
Track, score, and unit test LLM applications and complex agentic systems, with automated prompt engineering, guardrails, LLM-as-a-judge metrics, simple cross-functional collaboration, and more
Frequently Asked Questions
All my data is currently stored in Weights & Biases, is it easy to migrate that data to Comet?
Yes, we have helped many current Comet customers migrate all their data in Weights and Biases to the Comet platform and have scripts to help streamline the process.
Does Comet have a community for support if I have questions?
Yes, we are well known for our world class support as we work with the ML teams at companies like Uber, Netflix, and Etsy. We also have a community Slack channel you can join to ask questions directly.
Is Comet compliant with enterprise security requirements?
Yes, we are SOC 2 Type 2 Compliant and ISO 27001 Certified. We have a wealth of experience working with financial institutions, such as Affirm and NatWest, that have rigorous security requirements.
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