Neo4j Graph Data Science vs. GoLearn
A side-by-side comparison based on G2 review data.
| Metric | Neo4j Graph Data Science | GoLearn |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 16 | 21 |
| Ease of use | 8.7 | 9.2 |
| Ease of setup | 8.2 | 9.4 |
| Quality of support | 9.0 | 9.0 |
| Meets requirements | 9.1 | 9.0 |
| NPS | 73.333333 | 52.380952 |
| Small Business | 37.5% | 42.9% |
| Mid-Market | 43.8% | 38.1% |
| Enterprise | 18.8% | 19.0% |
| Total page views | 90 | 259 |
| Total LLM citations | 557 | 190 |
Neo4j Graph Data Science
Neo4j Graph Data Science is a data science and machine learning engine that uses the relationships in your data to improve predictions. It plugs into enterprise data ecosystems so you can get more data science projects into production quickly. Using a catalog of over 65 pretuned graph algorithms, data scientists can explore billions of data points in seconds to identify hidden connections and generate compelling visualizations that lead to better stakeholder decision making.
- Ease of Use
- Model Variety
- Problem Solving
- Machine Learning
- Scalability
- Analytics
GoLearn
GoLearn is a 'batteries included' machine learning library for Go that implements the scikit-learn interface of Fit/Predict, to easily swap out estimators for trial and error it includes helper functions for data, like cross validation, and train and test splitting.
- Ease of Use
- Intuitive
- Navigation Ease
- Interface Clarity
- Flexibility
- Participant Engagement