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NumPy vs Facette: What are the differences?
NumPy: Fundamental package for scientific computing with Python. Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases; Facette: Time series data visualization software. It is a web application to display time series data from various sources such as collectd, Graphite, InfluxDB or KairosDB on graphs, designed to be easy to setup and to use.
NumPy and Facette can be primarily classified as "Data Science" tools.
NumPy and Facette are both open source tools. NumPy with 12.1K GitHub stars and 3.97K forks on GitHub appears to be more popular than Facette with 1.07K GitHub stars and 75 GitHub forks.
Pros of Facette
Pros of NumPy
- Great for data analysis10
- Faster than list4
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What is Facette?
What is NumPy?
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