Tabler VS Plotly

Compare Tabler VS Plotly and see what are their differences

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Plotly

Low-Code Data Apps

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2023-03-15

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2023-07-31

Tabler

Website: tabler.io
Pricing URL: -
$ Details

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Plotly

Website: plotly.com
Pricing URL: Official Plotly Pricing
$ Details: -

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Tabler features and specs

User-Friendly Interface
Tabler provides a clean and intuitive layout that makes it easy for developers and users to navigate and use. The interface is designed to be modern and straightforward.
Responsive Design
The template is fully responsive, ensuring that it looks and functions well on a variety of devices, including desktops, tablets, and smartphones.
Comprehensive Documentation
Tabler offers extensive documentation that helps developers quickly understand how to implement and customize the template according to their needs.
Customizable
The template provides a wide range of components and customization options, allowing developers to tailor the admin panel to their specific requirements.
Open Source
Tabler is open source, which allows developers to freely use, modify, and distribute the template. This can be beneficial for those who are looking for cost-effective solutions.
Performance-Optimized
The template is designed with performance in mind, helping ensure fast load times and a smooth user experience.

Possible disadvantages of Tabler

Limited Advanced Features
While Tabler covers basic to intermediate needs well, it may lack some of the advanced features found in more comprehensive paid templates.
Learning Curve
Despite having good documentation, there might still be a learning curve for those who are not familiar with frontend development or who are new to using templates.
Dependency Management
Managing dependencies and integrating Tabler with other frameworks or libraries may require additional effort and can be time-consuming for some developers.
Community Support
As an open-source project, the level of community support might not be as extensive or timely as what a developer might find with a commercial solution.
Design Consistency
Some users may find the design choices to be too simplistic or not fully aligned with their branding, requiring extra customization to match design guidelines.

Plotly features and specs

Interactivity
Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
High-quality visualizations
It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
Versatility
Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
Python integration
Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
Web-based
The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
Open-source
Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

Performance
Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
Learning curve
Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
Cost for advanced features
While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
Dependency management
Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
Complexity
For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of Tabler

Overall verdict

Overall, Tabler is considered a solid choice for developers looking to build web applications quickly and efficiently, especially for those who value a minimalist design with functional components.

Why this product is good

Tabler is often praised for its clean design and ease of use. It provides a responsive and modern interface that is suitable for a variety of projects. Its extensive library of components and widgets allows developers to implement complex interfaces with minimal effort. Additionally, Tabler's open-source nature ensures that it is constantly improved by a community of developers, which can lead to a more robust and adaptable framework.

Recommended for

Tabler is recommended for developers working on admin dashboards, analytics platforms, and similar projects that require a streamlined user interface with a focus on functionality. It's also suitable for those who prefer using open-source tools and want to customize and extend UI components according to their specific needs.

Analysis of Plotly

Overall verdict

Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Tabler videos

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Plotly videos

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Create Real-time Chart with Javascript | Plotly.js Tutorial

Category Popularity

0-100% (relative to Tabler and Plotly)

Tabler

Plotly

Developer Tools

100 100%

Developer Tools

0% 0

Data Visualization

0 0%

Data Visualization

100% 100

Design Tools

100 100%

Design Tools

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Data Dashboard

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Data Dashboard

100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Tabler and Plotly

Tabler Reviews

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Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]

Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.

Source: www.datapad.io

5 Best Python Libraries For Data Visualization in 2023

Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.

Source: www.technotification.com

Top 8 Python Libraries for Data Visualization

Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...

Source: www.geeksforgeeks.org

5 top picks for JavaScript chart libraries

Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Tabler. It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Tabler mentions (14)

What css library to use?
[SELF PROMO] also we have made a library called YeSvelte which supports tabler.io and daisyui themes. Source: about 2 years ago
Show HN: Tremor 3.0 – The open-source library to build dashboards fast
This is nice. For more choices, if you are looking, Tabler[1] is another such component template, and I have used it to knock off visual dashboards fast. Not related; just another happy user. 1. https://tabler.io. - Source: Hacker News / about 2 years ago
We have started a new Svelte component library inspired by tabler.io: YeSvelte
YeSvelte is a powerful and flexible Svelte UI component library, designed to help developers build enterprise-grade web applications quickly and easily. With a focus on rapid application development and framework independence, YeSvelte is the perfect complement to any CSS framework. It is inspired by Tabler, a UI Kit built on top of Bootstrap css. Source: over 2 years ago
We have started a new Svelte component library inspired by tabler.io: YeSvelte
Also, we have developed a wrapper CSS on top of tabler.io and Bootstrap. Developers have access to the classes if they want to use them. Source: over 2 years ago
Using Pre-made html Template
Looks like your issue is resolved. I can also recommend having a look at tabler.io. I use it for most of my flask apps and its very simple/nice for dashboard UI's. Hope you find it useful :). Source: over 2 years ago

Plotly mentions (33)

Python for Data Visualization: Best Tools and Practices
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / 3 months ago
Generative AI Powered QnA & Visualization Chatbot
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 5 months ago
Build a Stock Dashboard in less than 40 lines of Python code!🤓
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 6 months ago
Essential Deep Learning Checklist: Best Practices Unveiled
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 1 year ago
Python equivalent to power bi/power query?
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago