Python continues its growth trajectory and, according to the TIOBE Index from February 2025, the language reached 23.88% popularity, marking an impressive 9% increase compared to the previous year. This growth solidifies Python as one of the most influential programming languages today.
But what’s driving this surge? And what challenges arise as more companies and developers adopt Python? Let’s explore the key factors behind this rise and why governance strategies are essential to ensure efficient and secure use of the language.
What is the TIOBE Index?
The TIOBE Programming Community Index is an indicator of the popularity of programming languages.
The rankings are based on the number of qualified engineers worldwide, courses, and third-party vendors. Popular sites like Google, Amazon, Bing, and more than 20 others are used to calculate the rankings.
Why is Python still growing?
Python’s success comes as no surprise to those following technological advancements. Several key factors contribute to its continuous expansion:
Ease of learning
Python’s simple and readable syntax makes it widely adopted by new developers, data scientists, and professionals in fields like automation and artificial intelligence.
The TIOBE Index highlights that “Python has become the gateway for many without a traditional software engineering background.”
Versatility across industries
Python is used in various applications, from web development and process automation to data analysis and machine learning.
As a result, companies of all sizes are adopting Python as part of their digital transformation strategies, further boosting its popularity.
Active community and robust ecosystem
Python’s extensive library and framework ecosystem make the language even more attractive. Additionally, its global developer community ensures ongoing support and continuous innovation.
Learn more: Python surpasses JavaScript on GitHub with generative AI growth
The rise of Python and the need for governance
As Python becomes more popular, the need for governance strategies to ensure security also grows. Tools like BotCity Orchestrator enable companies to manage automation flows and maintain a secure development environment for Python.
Here are the main risks of using Python without orchestration and governance practices:
Security and compliance
Uncontrolled use of external libraries can pose security risks. Without governance, companies may end up using outdated or vulnerable packages, opening doors to cyberattacks.
By establishing clear governance, companies can define consistent security policies, ensuring all Python implementations follow protection standards.
Learn more: Security in RPA with Python
Code standardization and quality
With the widespread adoption of Python, organizations must ensure best coding practices to maintain project readability and efficiency.
Automation and code analysis tools are essential to uphold quality standards within development teams.
Low efficiency
Projects without structured governance may struggle as they scale. Defining guidelines for versioning, code structure, and component reuse helps maintain scalable and easy-to-maintain Python applications in the long run.
All set on Python’s growth?
Python’s accelerated growth highlights its versatility and accessibility, making it the preferred choice for various applications.
However, with this expansion comes the need for structured governance to ensure companies and developers unlock the language’s full potential without compromising security or code quality.
With tools like BotCity Orchestrator, companies can centralize and manage their automations strategically, ensuring secure, consistent, and scalable processes.
If you’re looking to maximize the value of automation and make your operations safer and more efficient, getting to know BotCity is a smart move. How about creating a free account right now? Or, if you prefer, get in touch with one of our specialists!
