PredictionIO vs TensorFlow: What are the differences?
Developers describe PredictionIO as "Open Source Machine Learning Server". PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery. On the other hand, TensorFlow is detailed as "Open Source Software Library for Machine Intelligence". TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PredictionIO and TensorFlow can be primarily classified as "Machine Learning" tools.
"Predict Future" is the primary reason why developers consider PredictionIO over the competitors, whereas "High Performance" was stated as the key factor in picking TensorFlow.
PredictionIO is an open source tool with 11.8K GitHub stars and 1.92K GitHub forks. Here's a link to PredictionIO's open source repository on GitHub.
Uber Technologies, 9GAG, and StyleShare Inc. are some of the popular companies that use TensorFlow, whereas PredictionIO is used by 500 Startups, Betaout, and Tokopedia. TensorFlow has a broader approval, being mentioned in 200 company stacks & 135 developers stacks; compared to PredictionIO, which is listed in 5 company stacks and 5 developer stacks.