6 Strong reasons to consider using Python RPA in your automations
No lock-in:
Python automations are just pure code; you can use any code editor or platform of your choice to develop the bots, run the automations wherever you want, and share them with your team; there are many tools and frameworks available that you can use in your projects.
In the licensing model of low-code platforms, you can quickly increase costs as you scale your automation efforts, plus the challenge of managing licenses so that there is no downtime and more attractive ROI on projects. With Python RPA, there are no license fees or usage restrictions: it is pure code, which makes it possible to build and deploy your automations without incurring additional costs, enabling more projects with an attractive ROI.
Scalability and Performance:
Python RPA is more scalable than low-code platforms because it supports integration with other tools and technologies and performs faster (3x-20x). You can build complex automation (web, desktop, legacy, android) on any system (Win/Linux/Mac), handle large volumes of data, and use elastic computing (VMs, containers, serverless) that scales as capacity is needed.
Skill development:
Learning Python and training the teams is very affordable. There are 14 million devs worldwide and numerous courses available (including free ones) that can teach valuable techniques for many other projects (e.g., Data Science, DevOps, etc.). By learning Python, you will gain a deeper understanding of programming concepts, making you a more effective developer capable of solving a more comprehensive range of demands.
Although low-code RPA platforms are friendly to non-technical users, they are quite restrictive in terms of customization and requirements. With Python, you have access to over 440,000 packages and tools (source: Python Package Index) to create highly sophisticated automation (on any system: web, desktop, mobile, legacy).
Community support:
Python has an active, global community of developers who are constantly creating new tools and libraries to help automate processes. This means that you can easily find support and resources online if you have problems or need help with your automation efforts.