Python Ogre

Python is a high-level, interpreted, and object-oriented programming language that has dynamic Semantics. OGRE is a scene-oriented Graphics Rendering Engine that was written in C++ and was intended to make it easier and intuitive for the developers to generate games and demos using 3D hardware. But What could be a Python-ogre? Is it the combination of Python language with OGRE? In this blog, let us learn about Python-ogre in detail.

What is Python Ogre ? 

Python-Ogre is the Python language binding to the OGRE 3D engine. It is intended to offer the performance and the functionality of OGRE(Object-Oriented Graphics Rendering Engine) with the availability and user-friendliness of Python in a way that makes the development of 3D games easier and quick and makes the OGRE engine more available to beginners, who could otherwise be intimidated by the technical aspects of writing in C++. The Ogre engine has lower performance than the original C++ demos. However, the original OGRE engine delivers very high performance, and the Python-Ogre performance is even more than acceptable for all games, except those that are more graphics-intensive ones.


The PyOgre project started at the beginning of 2005 when a Python binding for OGRE was tried for the first time using Boost. Python of the Boost C++ library through two members of the Ogre3D community, Federico Di Gregorio and Clay Culver. This effort was ultimately unsuccessful, which led to the use of SWIG as a basis for C++ binding. This method turned out to be quite successful, offering the community a limited and error-prone implementation to some extent, but nevertheless an implementation. 

By the middle of 2006, Lakin Wecker started working on Python-Ogre based on the Boost. Python libraries, as has been attempted in the past. It was developed in parallel to the PyOgre project. He was assisted by Andy Miller, who later became responsible for the development of the project with the help of Roman Yakovenko, Joseph Lisee, and Ben Harling during the engine evolution.

PyOgre development was discontinued in the middle of 2007 and was formally replaced by Python-Ogre. In 2008, Andy Miller was actively involved in including new features to Python-Ogre, along with supporting and maintaining it. Since January 2014,'s main site has been disconnected, but still exists. 

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What is the use of Python Ogre? 

  • Python-ogre is cross-platform and open source.
  • Python is significantly faster in prototyping than C/C.
  • Python-ogre is going through development so that you can create an executable Windows, Linux, and Mac for distribution with some effort.

How to install python ogre?

Following are the step to be followed for the installation of Python-ogre:

  • To install Python-ogre, you need to Download Python-ogre Windows binary packages.
  • Then run Python “” install from the Python-ogre root directory(from the location you have unzipped the file)
  • Switch to the demos/xxx directory (based on what you want to execute).
  • Execute python

Python ogre library:

Following are the libraries that are supported now or have already run with the Python-Ogre engine. Some specific libraries are indicated in each version. For all libraries listed, demos are available. But, not all the demos work because of the constant evolution of the codebase and the limited number of active developers.


  • Ogre 1.4.9 - Legacy version
  • Ogre 1.5 - "Shoggoth" experimental software build
  • Ogre 1.6 - official release
  • Ogre 1.7 - "Cthugha" experimental build, with full DirectX 10 support.


  • Beta GUI: Compact and lightweight OGRE GUI library
  • CEGUI: Completely equipped general-purpose video game GUI library
  • Navi: OGRE GUI library based on HTML/CSS/JS
  • Quick GUI: OGRE GUI library based on Widget and user-friendly
  • Hikari: OGRE GUI library based on Flash


  • OIS: Standard OGRE input library, permitting the buffered, object-oriented input


  • Open AL: Cross-platform audio API mainly used with Ogre3D


  • Bullet: Complete physics engine with similar a feature set of proprietary libraries, providing both rigid and soft body collision detection
  • ODE: Open source rigid body with collision detection library
  • Newton: provides real-world physics simulation, in which accuracy and the real-world physical parameters are intended over performance and the latest features 
  • PhysX: high performance, proprietary, Popular, and fully featured library
  • NxOgre: Wrapper for the library - PhysX and the Ogre3D, including an editor and other useful features based on Ogre3D.


  • Particle Universe: scriptable particles will affect engines which makes it easy to create complicated particle effects.
  • Lib Noise: open-source, Portable, consistent noise-generating library
  • Caelum: Realistic weather, atmosphere, sky and lighting simulation

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Python ogre compatibility and Support 

Python-Ogre is compatible with all the platforms that OGRE supports:

Microsoft Windows: Binaries can be found on Python-Ogre forums.
Linux: Build instructions are available from the Python-Ogre wiki site. An Ubuntu binary is in the process of development.
Mac OS X: Build instructions are available in the Python-Ogre wiki site. Python-Ogre is based on Mac OS X 10.4 "Tiger" as well as Mac OS X 10.5 "Leopard".


The Python-Ogre wiki includes all the build instructions for OS Platforms like Windows, Linux, and Mac, along with the tutorials and example code snippets. Ogre3D is hosting the official Python-Ogre forum to assist developers in using the engine.

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 Conclusion :  

In this blog, we have covered all the basic concepts of Python-ogre like Python-ogre history, purpose, installation steps, Python-ogre libraries, and Python-ogre compatibility and Support. I hope you found this article helpful. For more topics on Python-ogre, stay tuned to HKR trainings. 

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As a content writer at HKR trainings, I deliver content on various technologies. I hold my graduation degree in Information technology. I am passionate about helping people understand technology-related content through my easily digestible content. My writings include Data Science, Machine Learning, Artificial Intelligence, Python, Salesforce, Servicenow and etc.