Software Alternatives, Accelerators & Startups

Plotly VS CSSGradient.io

Compare Plotly VS CSSGradient.io and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Plotly logo Plotly

Low-Code Data Apps

CSSGradient.io logo CSSGradient.io

As a free css gradient generator tool, this website lets you create a colorful gradient background for your website, blog, or social media profile.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • CSSGradient.io Landing page
    Landing page //
    2023-06-24

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.

CSSGradient.io features and specs

  • User-Friendly Interface
    CSSGradient.io offers an intuitive and clean interface which makes it easy for users to create gradients without requiring extensive knowledge of CSS.
  • Real-time Preview
    Users can see the gradient effect in real-time as they make changes, providing immediate visual feedback and allowing for quick adjustments.
  • Code Generation
    The tool automatically generates the corresponding CSS code for the gradients created, saving users time and ensuring accuracy.
  • Preset Gradients
    CSSGradient.io includes a variety of preset gradients which users can start with, enhancing the creative process and giving inspiration.
  • Customizable Stops
    The platform allows for precise control over gradient stops, enabling users to fine-tune their gradient designs.

Possible disadvantages of CSSGradient.io

  • Dependency on Web Tool
    Users need an internet connection to use CSSGradient.io, making it less convenient for offline use.
  • Limited Advanced Features
    Although great for basic gradients, the tool lacks advanced features that might be needed for more complex gradient designs.
  • Export Options
    There are limited export options; users can only copy the CSS code. This might be insufficient for those looking to export in other formats.
  • Learning Opportunity
    Relying heavily on the tool might reduce the opportunity for users to learn how to manually write CSS gradients from scratch.
  • Design Consistency
    Preset gradients might lead to a lack of uniqueness in designs if relied upon too heavily by many users.

Plotly videos

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

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

CSSGradient.io videos

CSSGradient.io - in a minute

Category Popularity

0-100% (relative to Plotly and CSSGradient.io)
Data Visualization
100 100%
0% 0
Design Tools
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Gradient Generator
0 0%
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 Plotly and CSSGradient.io

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.
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...
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.

CSSGradient.io Reviews

The Best ML Notebooks And Infrastructure Tools For Data Scientists
Gradient, aka 1-click Jupyter Notebook, is a fully-configured notebook packed with all the necessary frameworks, libraries, and drivers. Gradient offers pre-configured templates or ML frameworks to hit the ground running. Any code can be launched using UI, CLI, or Github. Another highlight of Gradient is the real-time logs and graphs it builds while the model is being...

Social recommendations and mentions

CSSGradient.io might be a bit more popular than Plotly. We know about 39 links to it since March 2021 and only 33 links to Plotly. 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.

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 1 month 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 / 3 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
View more

CSSGradient.io mentions (39)

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What are some alternatives?

When comparing Plotly and CSSGradient.io, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Web Gradients - Curated collection of 180 free fresh background gradients 🚀

Chart.js - Easy, object oriented client side graphs for designers and developers.

Mesh Gradients by ls.graphics - Free, handmade mesh gradients for your next project 🍭

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

Gradient Hunt - Curated collection of beautiful gradients, updated daily