The popularity of Python is the main factor for makes programmers learn this programming language. Because it is one of the world’s most popular programming languages and there are several reasons behind this fame. And you know what? The variety of open source projects and libraries for this language is one of the reasons. There is a Python project for almost everything from machine learning to animation. To be a good Python developer you will need to know some of these projects.
Open Source Projects are the easiest way to learn any language. Therefore, In this article we talk about different Python projects with source code. These all projects are easily available at Open Source Collection and Github. Since Python is useful in different fields, you may encounter multiple projects that will assist you in accomplishing your work. Select projects that fit your interests and skills. So check out our list of top 5 Python Open Source Projects and choose your favorite project.
However, before we know these open-source projects, let us have a short overview of the language. So, you can better understand the projects…
What is Python?
Python is one of the popular languages of programming that assist individuals in performing functions such as the development of portals, automating jobs and data analysis. Some of the pros of using Python are its human-readable English syntax, the flexibility in customizing it and also one can build simple sites as well as complex AI models. It’s also beginner-friendly. As Stack Overflow indicates, the fourth most widely used programming language worldwide is considered Python which competes with JavaScript in the leading spot.
Top 5 Python Open Source Projects- That You Should Know
ERPNext
ERPNext is a superhero for businesses because it is an integrated system that performs several crucial activities. Accounting and Warehouse Management are not about the mere counting of money or even arranging products. It covers CRM (making customers happy), Sales, purchasing the required things,(Purchase) HRMS – employee management; Project Management,- business/project support and Asset Management- managing company’s products). It is like a superhero with all the powers.
The strength of ERPNext lies in the fact that it is based on Frappe Framework. Picture the Fapre Framework as that magic superpower that makes ERPNext possible. It is like the base for a superhero headquarters. ERPNext is a powerful and intelligent helper for business organizations because this special power uses two coding languages, Python and JavaScript. it can do much more – this is a toolbox with many solutions that help to run your business better.
Activitywatch
The goal of ActivityWatch is fairly simple, it wishes to collect as much valuable data about your daily activity in the safest way possible. They have produced an application that safely stores this information on your own PC. Furthermore, they came up with a group of ‘watchers’ that study and track details such as the current use application, its window title name along other names amongst all browser tabs to figure out if one is far away from their device or not.
The attraction of the whole thing is that you, as a user, can choose how much or even to what extent any information should be gained. You can choose what suits you better. Secondly, they are interested in the prospect that some users may actually assist us to create new ‘watchers’ for gathering other data types thus improving ActivityWatch user experience.
Attendance Management System
A cool technology is the attendance management system built using Python based on face recognition. First, you should introduce your face data by entering ID and name into a box followed by ‘Take Images’ button. This step takes 20 images of your face and saves it in the TrainingImage folder.
Second, we must train the system to identify your face. For that, click on the Train Image button. For 10 people’s data, the training process takes 5-10 minutes and requires a computer with high processing capabilities (like 8 GB RAM and custom board graphics card.
Photon
Photon is an open-source project in Python and has gained immense popularity. It’s like a data driven tool and its main role is to make the workflows using Ansible run smoothly. If you are curious about what Ansible is, then consider it as a hyperactive assistant used for management and automation of computer systems.
So returning to Photon – it can be seen as a fast detective specially designed for OSI missions. It utilizes the Python programming language, which is efficient and fast in traversing information. Thus, in a few words, Photon is similar to an ultra-tech detective that uses Python for data collection from various channels and leverage Ansible.
Manim
Manim is an amazing project in Python that many people enjoy, particularly students studying mathematics. It’s like an advanced tool for creating animated videos that include math-related concepts in a simplified manner. This project is open, which implies that it can be reused by anyone and even modified.
The feature that sets it apart is the animation engine, which could be thought of as a kind of an engine driving smooth and accurate animations. For Manim, you can become super creative and bring your math lessons to life by using this diverse package. Thus, in other words Manim can be viewed as a nice helper for students and teachers that helps them to learn math more enjoyable through awesome animations using Python.
Conclusion
Overall, the Python open-source initiatives create a dynamic setting characterized by innovation and cooperation. The projects included below demonstrate that Python is capable of being used in many different areas. Each project, from the data-driven capabilities of Photon serving as a tech-savvy detective for open source intelligence to Manim’s creative animation engine improving math education, brings something new and exciting.
These projects not only highlight the versatility of Python but also demonstrate its community-oriented nature where developers from all around work together to produce tools that benefit various users. With the development of Python, these projects stand as replicas that show how language contributes to a common effort for solving real-life problems and inculcating shared knowledge and creativity.