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Skyl.ai vs Neptune: What are the differences?
Developers describe Skyl.ai as "Manage your Complete Machine Learning Workflow". Build & deploy ML models faster on unstructured data. No specialized skills required Easy-to-use & scalable SaaS platform.. On the other hand, Neptune is detailed as "The most lightweight experiment tracking tool for machine learning". It brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed, reproduced and shared with others. Works with all common technologies and integrates with other tools.
Skyl.ai and Neptune can be categorized as "Machine Learning" tools.
Some of the features offered by Skyl.ai are:
- Collect, label, and visualize unstructured data
- Guided modules to upload, clean, label, and visualize unstructured data
- Create & train models automatically
On the other hand, Neptune provides the following key features:
- Experiment tracking
- Experiment versioning
- Experiment comparison
Pros of Neptune
- Aws managed services1
- Supports both gremlin and openCypher query languages1
Pros of Skyl.ai
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Cons of Neptune
- Doesn't have much support for openCypher clients1
- Doesn't have proper clients for different lanuages1
- Doesn't have much community support1
