Our company is paying a fortune for UiPath licenses for simple data entry tasks. I’m looking into Python-based Robotic Process Automation (RPA) alternatives like Robocorp or TagUI. Are these tools mature enough to handle "dirty" UI elements and Citrix environments, or are we better off sticking with the expensive enterprise solutions for stability?
3 answers
Robocorp is definitely mature enough for most enterprise tasks. It’s built on the Robot Framework, which is highly readable and scalable. The biggest advantage of Python RPA is that you aren't limited by "activity blocks" in a GUI; you can use any Python library for OCR, AI, or data processing. However, Citrix environments are the "final boss" of RPA. While Robocorp has good image recognition capabilities, it won't be as "plug-and-play" as UiPath's proprietary selectors for virtualized desktops. If your workflows are mostly web or native desktop apps, switching to Python will save you six figures in licensing costs without losing reliability.
Does the Python approach require a lot more maintenance when the underlying application's UI changes compared to UiPath?
If you go the Python route, look into 'Playwright for Python' for the web-based parts; it’s much more modern and resilient than traditional RPA.
I agree, Margaret. Playwright’s auto-wait feature solves about 90% of the flakiness issues people associate with web automation.
Thomas, it’s actually the opposite. Because Python RPA uses standard CSS/XPath selectors, it's often more stable than the "fuzzy logic" used by some GUI-based tools. When a UI changes, updating a line of Python code is usually faster than digging through a nested visual workflow to find the broken activity. Plus, you can use Git for version control, so you can see exactly who changed a selector and why. This makes the maintenance cycle much more transparent for the IT team.