Snorkel Flow
Reviews
Star rating
Rank in Natural Language Processing (NLP) Platforms
Pros and cons
Pros
- Flexibility
- Data Management
- Easy Integrations
Cons
- Difficult Setup
- Required Knowledge
- Difficult Learning
Traffic & LLM citations
Source: G2 review data
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 41.2% |
| Mid-Market | 52.9% |
| Enterprise | 5.9% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2026 Q3 | 8 | 4.3 |
Satisfaction ratings
What reviewers say
Snorkel Flow Streamlines Security Report Analysis and Automation
“Snorkel Flow helps me develop intelligent systems to analyze guard reports, identify operational patterns, and automate parts of the reporting process. It also helps me analyze all the necessary security reports at Alert Force.”
Powerful Data Labeling and Curation That Boosts Model Training Quality
“easy data labeling workflows, strong data curation capabilities, improves model training quality, flexible programmatic labeling, reduces manual annotation effort, useful for building reliable AI datasets”
Smarter Data Labeling, with a Learning Curve
“I like how Snorkel Flow simplifies data labeling and improves training data quality. Its programmatic approach reduces manual effort, speeds up data preparation, and makes machine learning workflows more efficient. It also helps us scale data annotation more efficiently. The init”