They are also visible inside rcc using command rcc docs recipes. Some tips, tricks, and recipes can be found here. It is also visible inside rcc using command rcc docs changelog. Visit to view the full documentation on the full Robocorp stack.Ĭhangelog can be seen here. Both tested and bleeding edge versions are available from same location.ĮULA for pre-built distribution.
Add to path: sudo mv rcc /usr/local/bin/ĭirect downloads for signed executables provided by Robocorpįollow above link to download site. Make the downloaded file executable: chmod a+x rcc. Install: brew install robocorp/tools/rcc. Add to system path: Open Start -> Edit the system environment variables. To build rcc from this repository see the Setup Guide Installing RCC from command line Windows Rcc pull /robocorp/example-google-image-searchįor detailed instructions, visit Robocorp RCC documentation to get started. Do you have python programs that have conflicting dependencies? There rcc can help by making dedicated runtime environments for different setups, where different robot.yaml files define what to run and conda.yaml defines runtime environment dependencies. Have you experienced "configuration drift", where once working runtime environment dependencies get updated and break your production system? Here rcc can help by either making drift visible or freezing all dependencies so that drifting does not happen. 
Have you run into "works on my machine" problem, where the original developer has a working setup, but others have a hard time repeating the experience? In this case, let rcc help you to set up repeatable runtime environments across users and operating systems. Are developers manually installing conda or pip packages? Here rcc makes it easier for developers to just worry about getting conda.yaml and robot.yaml right, and then let rcc to do the heavy lifting of keeping environments pristine, clean, and up to date. 
Together with robot.yaml configuration file, rcc is a foundation that allows anyone to build and share automation with ease.
And run them on soft-containers that have access to rest of your machine. RCC is a set of tooling that allows you to create, manage, and distribute Python-based self-contained automation packages - or robots 🤖 as we call them.
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