🔎 Repository Research

Here are some repositories that we liked:

Poetry

Poetry is a brilliant dependency & package management tool for Python that allows developers to move in a fast and reliable way through some complexities of compatibilities, builds, and deployments. I find Poetry to be a good Github repository. Firstly, a simple README explains the general motivation quickly. For a more detailed view, Poetry does not have a wiki - but it has a nice documentation. The documentation of Poetry has a good structure that enables us to find what we're looking for. Also, the issue tracker of Poetry is fantastic. It is really well documented - one can label anything in terms of issue types (i.e. bugs, features, questions...), the status, and the technical area. Such categorization is pretty useful for such projects. The repository is quite live and the release process works very well along with automated tests and Github Actions. The issues and the pull requests are always reviewed and replied by contributors & maintainers. Additionally, discussions section of the repository is active too - it can be used to discuss any aspect of the project with others.

One minor problem may be the number of open issues and pull requests, especially from the past. Considering the status of other populer open-source repositories, I do believe this is normal.

- Ömer Talip Akalın

Ivy

Ivy is machine learning framework which unifies different popular machine learning frameworks into one and automates conversion between them. I find Ivy as an excellent github repository. It has a README which explains the purpose of the framework and gives different example usages. For the documentation, it has a website with lots of simple and explanatory visualizations. There is also a youtube channel where the founder of Ivy shares tutorials about the framework.

One of the best features of Ivy is that they always encourage newcomers to create pull requests for issues. It has a wiki for contributing where they explain necessary things for both beginners and experienced developers. It also has a documentation for reviewing PRs. With all this together, the repository is always alive and new PRs are reviewed very quickly.

- Erkam Kavak

Angular

Angular is an open source Javascript framework written in TypeScript which is used to build fast and efficient single page applications. It has been developed and maintained by Google since 2009. It has a good README that explains how to use angular from zero. With angular repository's README, one can reach any subject of angular framework easily. Besides, it has community links for different platforms for people wanting to join angular community channels and be a part of a angular ecosystem.

A very good feature of angular repository is that it is open anyone who wants to contribute the repository. It is open for creating issues and pull requests. In addition, angular also has a very good documentation page that explains every aspects of angular framework clearly. Having these features, angular is growing and being contributed by a large community every day.

- Umut Demir

Numpy

NumPy is a popular Python library for numerical computing and data analysis. Its GitHub repository has a comprehensive documentation that covers everything from installation and basic usage to advanced features and customization. The repository also has an active issue tracker where users can report bugs, suggest new features, or ask questions about the library. The maintainers are responsive and usually provide helpful feedback in a timely manner. Additionally, the repository has a large community of contributors who help maintain the library and provide support to other users.

The NumPy library is widely used in scientific computing, machine learning, and data analysis due to its high performance and efficient data structures. Overall, the NumPy library on GitHub is a valuable resource for anyone working with numerical data in Python, with a strong community and dependable support.

- Hüseyin Çivi

Ivy

Ivy is a python library whose mission is to unify all machine learning frameworks such as TensorFlow, PyTorch, and Jax. It is an open source library where developers are able to contribute. It is in active development. Ivy's repository is frequently updated with bug fixes, new features, and performance improvements, demonstrating an active development community.

Apart from that the documentation being good, this also makes the repository more useful and better. The repository includes extensive documentation and examples to help users understand and use Ivy's capabilities. The repository also has a community support link which directs the user to a discord channel where the developers are able to discuss and ask questions to those who have more information.

- Sena Özpınar

Bootstrap

Bootstrap is a popular open-source front-end web development framework maintained on GitHub. It was initially developed by Twitter and is now maintained by a community of developers. Bootstrap provides a collection of CSS and JavaScript files that can be used to create responsive, mobile-first web pages and web applications. It includes a wide range of UI components such as buttons, forms, alerts, navigation menus, modals, carousels, and more.

The repository has over 162,000 stars and 77,000 forks on GitHub, which indicates its popularity and widespread use. The repository has over 1,300 contributors, demonstrating a strong community of developers who are actively contributing to the project. Its Github repository has also well explained guideline section for the ones who wants to contribute to the project. It also includes extensive documentation and examples, making it easy for developers to learn and use.

Overall, Bootstrap is a powerful and flexible framework that has become a standard in web development, with a strong community and continuous development on GitHub.

- Ömer Bahadıroğlu

GORM

GORM is a popular ORM library for the Go programming language. It was originally developed for the Gin web framework, but can also be used as a standalone library in any Go project.

Some of the key features of GORM include:

• Database Support: GORM supports a wide range of database systems, including MySQL, PostgreSQL, SQLite, and Microsoft SQL Server. It also supports NoSQL databases such as MongoDB.

• Object Mapping: GORM allows you to map Go structs to database tables, providing a simple and intuitive way to interact with databases using Go objects.

• Associations: GORM provides support for associations between tables, such as one-to-one, one-to-many, and many-to-many relationships. This allows you to easily query related data and perform updates across multiple tables.

• Transactions: GORM supports transactions, allowing you to perform multiple database operations as a single, atomic unit of work.

All considered GORM is a pretty useful tool. One minor downside of GORM could be its badly designed documentation. What I like about the most about the repository is its issues' being intuitive and ordered.

- Emre Türker

Atlas-UI-Framework

Before discussing this repository, it is helpful to mention the Mendix platform on which I develop projects. Mendix is an academy that works with low code. The training at this academy is so powerful that there is no need for a repository to learn more about Mendix. It is the repository of Atlas-UI-Framework developers that I follow often. There are no so much companies that do work on low-code. The new low-code concept has just started to make a name for itself. In addition to the current UI components and widgets, this repository is made entirely in the components they designed themselves. They support the speed of the low-code back-end with powerful and creative components. Modern, stylish, and easy to use describe the Atlas UI design framework. You can get excellent responsive web, native mobile, and PWA solutions immediately by using pre-built templates, building blocks, and page layouts. Mendix allows developers to expand the system by combining components into larger patterns or producing reusable UI/UX packages.

- Ahmet Kudu

Umbraco-CMS

Umbraco CMS is an open-source web content management system based on Microsoft's .NET framework. It allows users to create and manage website content easily, with features such as customizable templates, user-friendly editors, and advanced publishing workflows. Umbraco is known for its flexibility, scalability, and ease of use, and has been adopted by many organizations.

It has an active community of developers and users who contribute to its ongoing development and support. Overall, Umbraco CMS is a versatile and robust platform that can be customized to meet the unique needs of any organization. Its ease of use, flexibility, and active community make it a reliable choice for businesses looking for a CMS that can scale with their needs over time.

-Emre Sin

Scikit-learn

Scikit-learn is one of the popular Python libraries for machine learning that provides simple and efficient tools for data analysis. Its GitHub repository has a large and active open-source community where developers and users can contribute to the project's development, fix bugs, and suggest new features. The repository is well-organized and easy to navigate. Moreover, most of the Github features are used effectively.

It has a simple README that explains how to get started and use the library and how to contribute to the development of the project. Users can create issues with good labels. Developers and community members respond to these issues and provide comments and solutions. Users can also submit pull requests to the repository to suggest changes or additions to the code. Pull requests are regularly reviewed by other developers and community members. Moreover, milestones are used effectively. They are helpful for showing improvements in each version of Scikit-learn and setting objectives with deadline. Besides, there is an useful and helpful discussion section. There is also a documentation that is comprehensive and user-friendly, with clear explanations and examples of how to use the library's many features. It includes user guide, API reference, various tutorials and examples to help users get started.

One of the minor problems of this repository is that projects in the Projects section of the repository are not well organized and understandable. Also, large number of open issues can be considered as a problem.

- Süleyman Melih Portakal

Twint

Twint is a powerful Twitter scraping tool written in Python that allows users to gather data from Twitter. The repository has become very well-liked thanks to its capacity to scrape Twitter data in bulk and offer insights on a variety of subjects. It has a README file that is comprehensive and provides clear instructions on how to install and use the tool. And there is also a wiki page which includes more detailed information about setup and its features with several examples that demonstrate how to use Twint for various tasks such as searching for tweets, scraping user profiles, and more.

One of the things that I like about the Twint repository is it does not use Twitter’s API while extracting data from Twitter. This is a very important feature of Twint because while accessing the Twitter API can be a formidable challenge due to the strict limitations on obtaining permissions, Twint presents an effective solution by allowing all users to extract data from Twitter without the need for such permissions.

One of the problems of the Twint repository is that the tool can be prone to errors when scraping data from Twitter, especially when Twitter changes its API or its website layout.

Overall, I find the Twint repository to be a useful tool for scraping Twitter data. Its simplicity and ease of use make it accessible to users of all levels.

- Halis Ayberk Erdem

Pillow

In today’s digital world, we come across lots of digital images. In case, we are working with Python programming language, it provides lot of image processing libraries to add image processing capabilities to digital images. One of the most popular ones, The Python Imaging Library (Pillow) adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. The Pillow library contains all the basic image processing functionality. You can do image resizing, rotation and transformation. Pillow module also allows you to pull some statistics data out of image using histogram method, which later can be used for statistical analysis and automatic contrast enhancement.

-Beyzanur Bektan