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During the Dragon Boat Festival holiday, many practical open source projects were born on GitHub. Today, I would like to take stock of the few high-quality open source projects I discovered in the past period of time.
Not much to say, let's go directly to the topic.
Out-of-the-box GIS
"Geographic Information System (GIS)" is a computer system used to collect, store, process, analyze, manage and display geographic information.
To put it simply, it is somewhat similar to Google Maps or Baidu Maps, which can integrate geographical data from different sources and display them on the map for various statistics and analysis.
Making good use of GIS can provide us with a lot of useful information, such as: providing regional information to urban planners, allowing them to formulate urban planning more accurately; helping enterprises to grasp the distribution of customers and conduct business better.
Today I would like to recommend a feature-rich, user-friendly, free and open source cross-platform geographic information system on GitHub: QGIS .
GitHub：https://github.com/qgis/QGIS
The system supports running on macOS, Windows, Linux and other platforms, and mainly has the following features:
Flexible and powerful spatial data management;
Simple and beautiful drawing style;
Advanced and robust geospatial analysis capabilities;
Powerful customization and scalability;
Comes with QGIS server.
If necessary, you can even combine Van Gogh's painting style to generate a beautiful geographical painting:
Through this project, we can complete data analysis in the fields of urban planning, resource management, environmental protection, traffic management, etc., and combine various AI technologies to create a set of intelligent urban management solutions.
Elegant and concise UI open source library
As we all know, Vue.js has become one of the well-known front-end development frameworks on GitHub, and many developers have customized many UI components for it.
Today I recommend a UI library based on Vue.js 3.0: Vuestic UI , which provides more than 60 customizable UI components, which are easy to use and highly flexible in customization, allowing users to customize components Easy personal adjustment and customization.
In addition, Vuestic UI also supports internationalization, dark mode, seamless integration and other functions, providing developers with powerful functional support.
GitHub：https://github.com/epicmaxco/vuestic-ui
The project comes from the Epicmax team, a Vue.js development company that has successfully completed more than 55 projects and successfully open-sourced 3 highly acclaimed products.
By using Vuestic UI, developers can easily create the UI components, templates and pages they want to provide a beautiful and powerful user interface for the application.
If you are looking for a solution that can help you build quality UIs, then Vuestic UI is definitely a good choice.
Data visualization artifact
For students who are engaged in data analysis, a handy tool can help you complete various complex tasks with less effort.
Today I recommend a Python library that was more popular on GitHub: PyGWalker .
With just one line of code, this project can transform the dataset into an interactive visual analysis tool, which is used to simplify the Jupyter Notebook data analysis and visualization workflow.
GitHub:https://github.com/Canaries/pygwalker
The library has a wealth of functions that can help users quickly convert Pandas' DataFrame into a Tableau-like operation interface, enabling users to explore and analyze data more intuitively.
Not only that, PyGWalker also supports multiple operating environments, such as Jupyter Notebook, Google Colab, Kaggle Code, etc., allowing developers to use this library to complete data analysis and visualization in various environments.
Through PyGWalker, we can easily implement various operations, such as automated data cleaning, interactive data visualization, etc., so as to improve efficiency in the process of data exploration and analysis.
The installation and use of the library is also very simple, without installing additional dependencies, users can quickly complete data analysis and visual exploration based on Python or Jupyter Notebook with just one line of command.
The above are a few GitHub projects recommended for you in this issue, and I hope it will be helpful to you.
Since the AIGC is quite popular this year, we have also established an AI community to explore more prospects and applications in the field of artificial intelligence.
If you want to learn more about practical AI technologies and applications, as well as new developments in ChatGPT, you can click the link below to join our community for further discussions.
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