Advantages of Python RPA vs Low-code RPA:
1. Licensing model
Low-code: Enterprise licenses ($$$) per bot/machine.
Python RPA: No commercial licenses are involved in development. Orchestration platform in SaaS model, pay as you scale with up to 80% savings.
Low-code: High lock-in. Proprietary technology. If you don’t pay the license, the bots stop working. To migrate, you need to rewrite the automations.
Python RPA: No lock-in. Open technology, pure Python code. You can rotate the robots and use them as you wish.
Python RPA: Windows / Linux / Mac, containers, serverless
Low-code: Requires multiple sessions of specific training.
Python RPA: Dev JR masters the technology in a few days and can get coding right away.
5.1. Performance of the bots
Low-code: Slow because it requires an intermediate parser.
Python RPA: 3x-15x faster. It’s pure code.
5.2. Scalability and Support
Low-code: Low. Because of licensing and technical restrictions. Support needs to open tickets (n1, n2, n3) or go to specific communities.
Python RPA: High. Elastic Computing, Ultraparallelism, affordable licensing, easy learning, and numerous open communities.
6. Orchestration / Governance
Low-code: For automations of specific types and flows.
Python RPA: Complete orchestration, for any automation in code, in any framework.
7. Knowledge Requirement
Low-code: Tool-specific. Only 100,000 professionals in the world.
Python RPA: Python only. 14 million devs. People of all professions program in Python: Finance, Marketing, HR, designers, lawyers, etc.
Low-code: Always need to recreate the streams, depending on available connectors.
Python RPA: Easy code reuse, 440,000 available packages, numerous open APIs and SDKs for easy integrations, versioning control, and simplified rollback.
Want to know more about unleashing the full potential of automations in smaller projects and companies of all sizes? BotCity Academy has free training on Python RPA → https://botcity.dev/academy