Cython vs. Grails vs. JavaScript vs. NumPy Comparison Chart

A powerful Groovy-based web application framework for the JVM built on top of Spring Boot. Convention-over-configuration, sensible defaults, opinionated APIs, and the Groovy language combine to make the Grails® framework easy to learn for Java developers. The Grails framework is built on top of Spring Boot and leverages Spring Boot's time-saving features, such as Spring-powered dependency injection. The Grails framework seamlessly and transparently integrates and interoperates with Java, the JVM, and existing Java EE containers. Apache Groovy is a language for the Java platform designed to enhance developers' productivity. It is an optionally-typed and dynamic language but with static-typing and static compilation capabilities. The Grails framework seamlessly integrates with GORM, a data access toolkit that provides a rich set of APIs for accessing relational and non-relational data. GORM also includes implementations for Hibernate (SQL), MongoDB, Cassandra, and Neo4j.

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.