Weights & Biases
Reviews
Star rating
Rank in MLOps Platforms
Pros and cons
Pros
- Ease of Use
- Features
- Setup Ease
- Data Visualization
- Machine Learning
- Implementation Ease
Cons
- Poor Documentation
- User Accessibility
- Missing Features
- Slow Performance
- Functionality Limitations
- Lack of Guidance
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 62.4% |
| Mid-Market | 27.1% |
| Enterprise | 10.6% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2024 Q4 | 2 | 4.8 |
| 2025 Q1 | 4 | 4.6 |
| 2025 Q4 | 1 | 4.5 |
| 2026 Q3 | 19 | 4.2 |
Satisfaction ratings
What reviewers say
Simple Experiment Tracking and Powerful Model Insights with Weights & Biases
“I like Weights & Biases because it makes it simple to track experiments, visualize model performance, and compare results across runs. It also helps teams keep their machine learning workflows organized, collaborate more efficiently, and ultimately build better models by relying ”
Weights & Biases: A Helpful Tool for Machine Learning Experiment Tracking
“I like Weights & Biases because it makes machine learning experiments easy to track and manage. It helps compare model performance, visualize results, and organize AI projects efficiently. Its user-friendly interface and experiment tracking features are useful for improving machi”
Easy wandb Scripting That Eliminates Setup Mess—With Room to Grow
“Unlike older Tools with Complex setup, it lets me add scripts with wandb with few lines of code completely eliminating the setup mess and managing fragmented tools and sheets and notebok”