This is a discussion topic for the original post at Python RPA vs Low-Code comparison - BotCity | Python RPA | Blog
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. Performance of the bots
⛔ Low-code: Slow because it requires an intermediate parser.
✅ Python RPA: 3x-15x faster. It’s pure code.
5. 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.
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