We have all seen the extensive features of popular analyzing and dashboarding tools like Power BI, Tableau, or Qlik. However, we Python data scientists, do not use these tools.
Why? The most challenging issue preventing us from using those tools is the environment. Exporting cleaned data into external tools for dashboard creation and visualization can be cumbersome and disrupt the workflow.
Moreover, using a Python based tool for dashboarding, will help you integrate AI to the process seamlessly.
That's why I'll share with you the first Python dashboarding/web app builder that stands out and has come out lately.
Let's jump in.
Taipy Designer
Taipy Designer is a drag-and-drop builder that creates dynamic GUIs on top of your Python code without any hassle. It addresses the previous challenge by enabling data scientists to create dynamic GUIs directly on top of their Python code. Yes, you read it well! "ON TOP OF YOUR PYTHON CODE! Interesting, isn't it?
Let's explore why Taipy Designer is a game-changer for Python data scientists.
It's not as performant as Power BI with its Dask language but it's perfect for Python developers looking for a WYSIWYG GUI environment!
Why Taipy Designer Stands Out
✅ Simple Drag and Drop User Interface.
Instead of traditional insertion methods or programming, users can simply drag and drop widgets from the toolbar on the canvas.
✅ Dynamic and Interactive Dashboards.
Connect widgets to your Python variables for instant data visuals and rendering. It will automatically be present on the dashboard!
✅ Define your own look and feel with a few clicks without any CSS.
✅ Comparing with Other Tools.
While Taipy Designer excels within the Python ecosystem, it's still a WYSIWYG tool. Recognizing the strengths of other popular tools like Power BI, Tableau, and Qlik is essential.
Watch this introductory video to understand what it does!
You can watch this complete walkthrough by Alex & Florian!
It has everything you need to use Taipy Designer and start with.
If you're a Python developer or data scientist, this might be the best GUI designer you can get. It's simple and efficient!
It's created by Taipy which has almost 10k+ stars on GitHub and is growing at a rapid pace.
Now let's check the other tools!
Power BI and Tableau are two essential Business Intelligence (BI) tools used to collect, integrate, analyze, and present business information.
These technologies enable data analysis, manipulation, and visualization, helping you make sense of business data and extract valuable insights.
Let's cover them with the necessary resources to help you learn them. And check if you can use them in your projects rather than Taipy Designer.
Tableau
Tableau is a visual analytics platform that is transforming the way we use data to solve problems.
Tableau was founded in 2003 as a result of a computer science project at Stanford that aimed to improve the flow of analysis and make data more accessible to people through visualization.
Tableau provides a suite of products, including Tableau Desktop for creating and publishing visualizations, Tableau Server for sharing and collaborating on data and visualizations across an organization, and Tableau Prep for preparing and cleaning data before analysis.
Both Tableau Public and Power BI Desktop are free for users to explore and visualize data. The only thing is that your data with Tableau Public is not private and is shared with everyone in the community. Keep an eye on that!
Key things about Tableau:
⚡ Intuitive drag-and-drop interface but steeper learning curve for advanced features.
⚡ Large, active user community, extensive online resources, and professional support.
⚡ Strong support for embedding dashboards into other applications.
⚡ Works across various platforms and devices, including desktop, web, and mobile, ensuring accessibility for users.
Some of the resources to learn Tableau:
✅ Crash tutorial by freeCodeCamp.
✅ Tableau 6 hours Full Course by Edureka.
✅ Watch this tutorial to learn Tableau in 15 minutes and create your first report (FREE Sample Files)!
✅ The official team also provide a guide to help you get started with tableau.
✅ Complete Tutorial by Geeksforgeeks.
Power BI
Power BI is a business analytics service by Microsoft. It provides interactive visualizations and business intelligence capabilities with an interface simple enough for end-users to create reports and dashboards.
It can help you connect to multiple data sources, clean and transform data, create custom calculations, and visualize data through charts, graphs, and tables.
It's accessible via web browser, mobile device, or desktop application, Power BI can also integrate with other Microsoft tools like Excel and SharePoint.
Key things about Power BI:
⚡ Excellent integration with Microsoft products and a variety of other data sources.
⚡ Robust visualization capabilities, slightly less flexible than Tableau.
⚡ Built-in AI capabilities like Power BI Q&A, AI visuals, and integration with Azure ML.
⚡ Support of embedded analytics and follows associative data model.
Some of the resources to learn Power BI:
✅ Power BI 4-hour course by Edureka.
✅ Official guide by Microsoft.
✅ Complete tutorial by Geeksforgeeks.
You can read the key difference between Power BI and Tableau covered by Simplilearn.
As developers, we prefer doing things completely with code that's why Taipy Designer (combined to Taipy) might be the ultimate GUI tool that perfectly complements the Python data science environment.
Have a great day! Till next time.
You can join my community for developers and tech writers at dub.sh/opensouls.
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Top comments (4)
Comparing the efforts and results of addressing the same data visualization use case with PowerBI and Taipy could be intriguing. Today, numerous tasks can be accomplished with no-code solutions, and if they can be extended with local code when needed, it represents an ideal victory.
You should know that Taipy has finally reached 10k stars on GitHub 🥳
Build a great product and you don’t have to worry about its marketing.
The developer community is always supportive :)
Looks cool!
Yep, it's very useful for Python developers!