Python RPA vs Low-Code comparison

Discover the advantages of combining Python RPA with Low-Code and why it's the best alternative for more complex processes.

Talk to an Expert
Low-Code
¯ \ _ (ツ) _ / ¯

Licensing Model

Corporate licenses ($$$) per bot/machine.
No commercial licenses required for development. SaaS-based orchestration, pay-as-you-go model with up to 50% savings.

Lock-in

High lock-in, proprietary technology. If the license is not renewed, bots stop working. Migration requires rewriting automations.
No lock-in, open technology, pure Python code. Bots can be switched and used freely.

Compatibility

Limited to Windows.
Compatible with Windows, Linux, Mac, containers, and serverless environments.

Learning Curve

Requires multiple specific training sessions.
Junior developers can master the technology in a few days and start coding quickly.

Bot Performance

Slow due to the need for an intermediate interpreter.
3x-15x faster as it runs pure code.

Scalability & Support

Low scalability due to technical and licensing restrictions. Support requires ticketing (N1, N2, N3) or specific community assistance.

High scalability: elastic computing, ultra-parallelism, affordable licensing, quick learning curve, and various open communities.

Orchestration / Governance

Limited to specific automation types and workflows.

Full orchestration for any code-based automation, with no framework restrictions.

Knowledge Requirement

Tool-specific knowledge, with only 100,000 professionals worldwide.

Python-based, a language with 14 million developers. Professionals from various fields use Python (Finance, Marketing, HR, Designers, Lawyers, etc.).

Productivity

Flows must be recreated depending on available connectors.

Reusable code, 440,000 available libraries, multiple open APIs and SDKs for easy integration, version control, and simplified rollback.

Transform your automation with Python!

Access the free Python RPA training at BotCity Academy.

Start now!