Cleanlab
AI platform for automatically finding and fixing errors in datasets and ML pipelines.
Data & ML OpsFreemium
4.5 (1345 reviews)
Key Features
- Error detection
- Label correction
- Data quality
- Outlier detection
- Confidence scoring
- Python library
Pros
- Improves model accuracy
- Finds labeling errors
- Easy integration
- Open source core
- Well documented
- Proven results
Cons
- Can be slow on large data
- Requires understanding
- Limited to certain tasks
- Enterprise features paid
- Python only
- Learning curve
Use Cases
Best For:
Data quality improvementML pipelinesDataset cleaningLabel verificationResearch projects
Not Recommended For:
Small datasetsReal-time processingNon-ML tasksQuick fixes
Recent Reviews
John Developer
2 weeks ago
Excellent tool that has transformed our workflow. The API is well-documented and easy to integrate.
Sarah Tech
1 month ago
Great features but took some time to learn. Once you get the hang of it, it's incredibly powerful.
Mike Business
2 months ago
Best investment for our team. Increased productivity by 40% in just the first month.
Quick Info
CategoryData & ML Ops
PricingFreemium
Rating4.5/5
Reviews1345
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