Conda vs. Fortran Package Manager vs. MicroPython vs. Spring Cloud Data Flow Comparison Chart

Package manager and build system for Fortran. There are already many packages available for use with fpm, providing an easily accessible and rich ecosystem of general-purpose and high-performance code. Fortran Package Manager (fpm) is a package manager and build system for Fortran. Its key goal is to improve the user experience of Fortran programmers. It does so by making it easier to build your Fortran program or library, run the executables, tests, and examples, and distribute it as a dependency to other Fortran projects. Fpm’s user interface is modeled after Rust’s Cargo. Its long-term vision is to nurture and grow the ecosystem of modern Fortran applications and libraries. The Fortran package manager has a plugin system that allows it to easily extend its functionality. The fpm-search project is a plugin to query the package registry. Since it is built with fpm we can easily install it on our system.

Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.