Delphi vs. Python: When what language is the right choice

[Delphi](/services/delphi development) vs. Python: When what language is the right choice

Opened at: 1. June 2026 | Choosing the right programming language is one of the most basic decisions in software development and has far-reaching consequences for the performance, development time and wartability of a project. Today there are two very different but both powerful languages: Delphi and Python.

Delphi, the champion of native application development, meets Python, the unchallenged king of data science, AI and scripting. In this article we compare the two languages in different key categories to help you make a sound decision for your next project.

Philosophy and paradigms

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Delphi (Object Pascal): Is a highly typified, compiled language designed for object orientation. The focus is on robustness, clear structure and the creation of native, performant applications. The compiler is strict and captures many errors at the development time.

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Python: Is a dynamically typified, interpreted language that supports several paradigms (prozedural, object-oriented, functional). The design philosophy emphasizes the readability of the code and the productivity of the developer. "There should be only one – and preferably only one – obvious way to do it."

Comparison by key categories

Category Delphi Python

Performance * Excellent. Delphi compiles native machine code, leading to extremely fast execution speeds comparable to C++. ** Moderate to good.* As interpreted language, Python is naturally slower. However, libraries written in C (e.g. NumPy) that accelerate execution are often used for computation-intensive tasks.

Development rate * * Very good. The RAD approach with its visual UI design allows extremely fast development of desktop and mobile GUIs. ** Excellent. The simple syntax, dynamic typing and the huge standard library enable a very fast prototype creation and development, especially for web and backend services.

UI user interfaces ** Excellent.** This is Delphi's parade discipline. With VCL (for Windows) and FireMonkey (for cross-platform) complex, appealing UIs can be visually created. Sweak to Mode. Python has no strong integrated solution for desktop UIs. Libraries like Tkinter, PyQt or Kivy exist, but are usually less powerful and more complicated to use than Delphi's Frameworks.

**Cross plate shape capability * * **The FireMonkey Framework allows the creation of native apps for Windows, macOS, iOS, Android and Linux from a single code base. ** Python itself runs on almost every platform. For GUIs the Cross-Platfo