Framed Data vs Seldon: What are the differences?
Framed Data: Find out how your users behave and get notified when they're about to leave. Framed helps you retain subscribers by understanding their behavior. Do you know why your users are leaving? Do you know why your users love your app? Framed does. Our automated predictive analytics platform runs a battery of machine learning models on your data to predict future user behavior. Know the exact point at which a user decides to stay with your product; Seldon: Open-source predictive analytics and recommendation engine. Seldon is an Open Predictive Platform that currently allows recommendations to be generated based on structured historical data. It has a variety of algorithms to produce these recommendations and can report a variety of statistics.
Framed Data and Seldon belong to "Predictive Analytics" category of the tech stack.
Some of the features offered by Framed Data are:
- Painless data upload.
- Identify retention triggers and tipping points.
- High value, high impact reports and data.
On the other hand, Seldon provides the following key features:
- Real-time predictive scoring that exposes a REST API for external clients
- Vector-based models for language modelling using Semantic vectors
- Custom Offline Models
Seldon is an open source tool with 1.39K GitHub stars and 302 GitHub forks. Here's a link to Seldon's open source repository on GitHub.