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SnapSearch vs TensorFlow: What are the differences?
What is SnapSearch? Search Engine Optimisation for Javascript, HTML 5 and Single Page Applications. Snapsearch is a search engine optimisation (SEO) and robot proxy for complex front-end javascript & AJAX enabled (potentially realtime) HTML5 web applications. Snapsearch's middleware detects and intercepts requests made by search engines, then sends its own javascript enabled scrapers to cache a snapshot of your web page. The snapshot is seamlessly and transparently passed back to the search engine through your web application.
What is TensorFlow? 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.
SnapSearch and TensorFlow are primarily classified as "SEO for Javascript" and "Machine Learning" tools respectively.
For data analysis, we choose a Python-based framework because of Python's simplicity as well as its large community and available supporting tools. We choose PyTorch over TensorFlow for our machine learning library because it has a flatter learning curve and it is easy to debug, in addition to the fact that our team has some existing experience with PyTorch. Numpy is used for data processing because of its user-friendliness, efficiency, and integration with other tools we have chosen. Finally, we decide to include Anaconda in our dev process because of its simple setup process to provide sufficient data science environment for our purposes. The trained model then gets deployed to the back end as a pickle.
Pros of SnapSearch
Pros of TensorFlow
- High Performance32
- Connect Research and Production19
- Deep Flexibility16
- Auto-Differentiation12
- True Portability11
- Easy to use6
- High level abstraction5
- Powerful5
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Cons of SnapSearch
Cons of TensorFlow
- Hard9
- Hard to debug6
- Documentation not very helpful2
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What is SnapSearch?
What is TensorFlow?
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