Flojoy vs. Python vs. Spring Cloud Data Flow vs. Webots Comparison Chart

Within 5 minutes of downloading Flojoy Studio, you'll be building and running powerful Python-based engineering and AI apps - all without any coding knowledge. Engineers use Flojoy Studio to stream measurements from robotics, microcontrollers, single board computers, test stations, and benchtop instruments to Flojoy Cloud. Once in Flojoy Cloud, this research data can be analyzed, archived, downloaded, and annotated by team members. Flojoy is the de facto resource for open-source instrument control in Python. Flojoy is on a mission to support every major motion platform (robotic arms, stepper motors, servos, linear actuators, pneumatics, and more) with first-class and open-source Python support.

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.