AxProtector Python lets the makers of python applications protect their work with CodeMeter’s accustomed ease of use, flexibility, and platform independence. With its simple elegance, Python has enjoyed resurgent popularity and a genuine renaissance in innovative fields like artificial intelligence and machine learning.

As Python becomes more popular, it has attracted the attention of would-be attackers. Hackers usually encountered little difficulty when trying to crack into Python applications and steal the IP contained in it, as the software was often delivered in completely unprotected plaintext form. Even pre-compiling the code as native machine code by means of tools like Cython is not enough to stop such attempts by more experienced hackers, and it takes away the platform independence that makes Python code so attractive in the first place.

Until recently, clients of Wibu-Systems could already use CodeMeter to protect such pre-compiled code. But now, CodeMeter has been expanded to be able to encrypt and protect Python applications in their original, platform-independent form. The technology keeps the functions of the protected application encrypted right up to the point of need, making it virtually impossible to access the unprotected code by means of memory dumps. Software developers can also use the full set of tried-and-tested CodeMeter features, such as flexible licensing models like single user, floating network, or subscription licenses. The technology even allows individual parts of the code to be encrypted and licensed separately to prepare for popular new business models like modular licenses or features-on-demand. With the included automation functions, CodeMeter slots in easily with established continuous integration systems.

Python had long been relegated to the sidelines in a software development scene that preferred C and Java. This situation has changed considerably, as the TIOBE ranking of popular languages shows: Python has not only outranked other, newer languages, but also these two behemoths of the scene: In 2021, Python was chosen as the most popular language for the fourth year running. The reasons named include the constant commitment to simplicity and the many available resources for up-and-coming areas of use like artificial intelligence and machine learning.

In the digital age, smart devices have become ubiquitous. Many of them include at least some element of artificial intelligence for jobs like image or voice recognition, as modern smartphones or digital household assistants have shown aplenty. Other, more complex processes, like weather models, algorithmic trading, or medical diagnostics, also use similar technology. What all of them have in common: They all use Python libraries.