CodeMyUI VS Plotly

Compare CodeMyUI VS Plotly and see what are their differences

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CodeMyUI

Handpicked code snippets you can use in your web projects

Plotly

Low-Code Data Apps

Landing page //
2021-12-20

Landing page //
2023-07-31

CodeMyUI

Website: codemyui.com
Pricing URL: Official CodeMyUI Pricing

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Plotly

Website: plotly.com
Pricing URL: Official Plotly Pricing

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CodeMyUI features and specs

High-Quality Demos
CodeMyUI provides a wide range of high-quality UI/UX design resources and code snippets, which are highly polished and visually appealing.
Variety of Components
The site offers a diverse array of components ranging from buttons, loaders, and navigations to complete page layouts, making it a one-stop resource for developers and designers.
Ease of Use
The website is user-friendly and well-categorized, helping users to quickly find and implement the desired UI components and design inspirations.
Regular Updates
New content is added regularly, ensuring that developers have access to the latest trends and innovative design ideas in UI/UX.
Free Resources
Many of the code snippets and design resources on CodeMyUI are available for free, providing valuable tools for developers without additional cost.

Possible disadvantages of CodeMyUI

Limited Interactivity
While CodeMyUI offers a plethora of static and animated UI components, it lacks interactive elements that require more complex user interactions.
Attribution Requirement
Some of the free resources may require attribution, which could be a limitation for commercial projects that prefer to not include credits.
Inconsistency in Code Quality
Since different contributors add code snippets, there might be inconsistencies in code quality or outdated techniques that users need to watch out for.
No Advanced Tutorials
The website does not provide in-depth tutorials or explanatory content that shows how to integrate these snippets into larger projects, which can be a drawback for beginners.
Advertisement Presence
The website contains advertisements, which might be distracting for users and can affect the overall browsing experience.

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.

CodeMyUI videos

No CodeMyUI videos yet. You could help us improve this page by suggesting one.

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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 CodeMyUI and Plotly)

Plotly

Developer Tools

72 72%

Developer Tools

28% 28

Data Visualization

0 0%

Data Visualization

100% 100

Productivity

100 100%

Productivity

0% 0

Data Dashboard

0 0%

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 CodeMyUI and Plotly

CodeMyUI 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 CodeMyUI. 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.

CodeMyUI mentions (4)

free-for.dev
CodeMyUI - Handpicked collection of Web Design & UI Inspiration with Code Snippets. - Source: dev.to / over 2 years ago
Leaving job to pursue Front End career, help.
JS is such a powerful tool it's overwhelming. You can do damn near anything with it! I like to look for inspiration on more aggregate sites, like https://codemyui.com/. Source: over 3 years ago
Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
CodeMyUI - Handpicked collection of Web Design & UI Inspiration with Code Snippets. - Source: dev.to / almost 4 years ago
Practicing CSS
Many sample snippets you can even play around with on the website: Https://codemyui.com/. Source: about 4 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 / about 2 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 / 4 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 / 5 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 / 11 months 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