What are Some Good Projects to Contribute for Python Beginners?

Python is so very popular that many programmers decide to learn it. It is among the world’s most beloved languages and for many good reasons. The wide range of open-source projects and also libraries for Python is one major reason. All these projects encompass machine learning to animation. To be a great Python developer, you will need to know about these all projects.

Open-source project practice makes language learning much easier. The projects in this article are easy to understand and edit. These projects are available on the Open Source Collection and also on GitHub. Python is indeed a very useful programming tool in various applications, and as such you can specify many projects that would assist with the work. Select the projects that fit well your interests and also capabilities. Take a look at our ranking of the top Python Open Source Projects and select your favorite one.

Before getting into these projects, let us have a quick understanding of what Python really is. This will enable you to have a very clear understanding of the projects we are going to discuss.

What is Python?

Python is a very common language in the field of programming that enables individuals to accomplish tasks such as web development, and automation among others. Some advantages of Python include its readable English syntax, customizability as well as the fact that it can be used where a simple website and also on complex AI models. It’s great for beginners too. Stack Overflow reports that Python is the fourth most used programming language in the world and it so happens to be competing with JavaScript for the number one.

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Benefits of Open-Source Python Projects

There are several benefits associated with open-source Python projects:

  • Community Collaboration: Open-source Python projects encourage a lot of global collaboration among developers. The variety of the society participating in code improvement leads to better performance for quality enhancement.
  • Cost-Effective Development: By using open-source Python projects, businesses, and developers can perform free software development without paying any costs to proprietary systems.
  • Rapid Development and Innovation: Open-source projects have a collaborative nature, and this aspect allows for repetitive development cycles that enable emerging new characteristics and many improvements.
  • Flexibility and Customization: Modifications and customization of open-source Python projects are very much possible, offering a level of flexibility that is essential for businesses with specific needs.
  • Transparency and Security: The open-source projects provide a lot of space for transparency allowing the developers to access and even improve the security. Vulnerabilities are immediately identified and corrected, which makes the software more secure.

Good Projects to Contribute for Python Beginners

ERPNext: Your Business Superhero

ERP Next is a very big business superhero. Not only the numbers or the sorting of products are concerned. It does much more than that, such as making the customers happy (CRM), working with sales and purchases, and managing employees (HRMS). Supporting the projects(Project Management)and tracking company products through the system of Asset Management. ERPNext can be like a superhero with all these powers and its power comes from the Frappe Framework.

Think of the Frappe Framework as a supernatural ability that makes ERPNext possible, like some sort of power base for composites. This smart helper assisting with businesses is ERPNext which has a special power made of two coding languages –Python and also JavaScript. It is more like a toolbox containing various solutions that can help you to manage your business effectively.

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ActivityWatch: Keep Track of Your Day

ActivityWatch has a straightforward mission – it wants to gather valuable information about your daily activity in a safe and secure way. They developed an application that ensures the security of this data on your own personal computer. They also created numerous ‘watchers’ who take note of and follow the details such as what the current application you are using is, its window title together with other names from all the browser tabs. This determines whether you are away from your device.

It is a great feature as a consumer you can decide what amount of information to provide. You can choose what suits you the best. Additionally, they are very curious about the user participation in generating new ‘watchers’ who can provide unique data and improve the ActivityWatch functionality.

Attendance Management System: Smart Tech for Keeping Track

Consider a fun invention – an attendance system built with Python and using face recognition. Initially, you type your ID and name into a box followed by clicking on the ‘Take Images button’. This step takes 20 photographs of your face and then stores them in the TrainingImage folder.

Secondly, we need to train the system for it to become very capable of identifying your face. Click the ‘Train Image’ button. Training such data is done within 5-10 minutes and requires a computer with large processing power, like an 8GB RAM system running on a custom board graphics card.

Photon: Your Tech Detective

Photon is a thriving open-source Python project. Think of it as a data-driven device and its primary purpose is to ensure the efficiency in running workflows using Ansible. Now, if you ask what Ansible is then it’s a very vigorous assistant that allows managing and automating the computer systems.

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Now, back to Photon – imagine it as a fast detective tailored for the OSI missions. It relies on the Python programming language because of its ability to traverse information swiftly and also efficiently. So, Photon is kind of a very sophisticated detective who uses Python to gather information from several sources and benefits significantly from Ansible.


The Python open-source projects provide a very vibrant environment of some fresh ideas and team commitment. The projects discussed above demonstrate that Python can be applied to a wide variety of areas. Such projects demonstrate not only the flexibility of Python but also its community-driven nature. Developers worldwide create many tools that help different users. Over the years, these projects have served as good examples of how Python supports collaboration in solving real-life issues and also information sharing and creativity among all participants.