Based on our record, Apache Spark should be more popular than Robot framework. It has been mentiond 56 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 3 months ago
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 4 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 6 months ago
A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 12 months ago
Well, I work with software quality and despite not having a strong foundation in automation, one fine day I decided to make a change. I have been working with Robot Framework for a few months - and that's when I got a taste of the power of python. Some time later, I dabbled a little with Cypress and Playwright, always using javascript. - Source: dev.to / 8 months ago
I've used Lua/Busted in a data-heavy environment (telemetry from hospital ventilators). I've also used robot: https://robotframework.org/. Source: 12 months ago
I can't say whether any of these will work, but maybe one of: PyAutoGui Pytest-qt Robot Framework + plugins. Source: about 1 year ago
I'm looking for tools, strategies, libraries, etc. That would be useful for automating arbitrary desktop applications. Ideally something free and open source. Robot Framework (https://robotframework.org/) looks promising, although the docs seem deliberately unclear about how useable the open source libraries are without the cloud SaaS being sold on top. Does anyone have experience in this area? What's your secret... - Source: Hacker News / about 1 year ago
In the industry I've seen the framework "Robot framework" https://robotframework.org/ used a lot for test automation. Source: about 1 year ago
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Selenium - Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Cypress.io - Slow, difficult and unreliable testing for anything that runs in a browser. Install Cypress in seconds and take the pain out of front-end testing.
Hadoop - Open-source software for reliable, scalable, distributed computing
Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.