Software Alternatives, Accelerators & Startups

Grabient VS Plotly

Compare Grabient VS Plotly 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.

Grabient logo Grabient

Grab a gradient

Plotly logo Plotly

Low-Code Data Apps
  • Grabient Landing page
    Landing page //
    2021-10-04
  • Plotly Landing page
    Landing page //
    2023-07-31

Grabient features and specs

  • User-Friendly Interface
    Grabient provides a simple and intuitive interface that allows users to easily create and customize gradient designs.
  • Wide Range of Gradient Options
    The platform offers a variety of gradient presets and customization options, enabling users to create unique and visually appealing designs.
  • Realtime Preview
    Users can see the changes they make in real-time, which helps them to quickly iterate and refine their gradient designs.
  • Color Code Output
    Grabient provides the CSS code for gradients, making it convenient for web developers to integrate the designs into their projects.
  • Free to Use
    The service is available for free, making it accessible for designers and developers of all levels.

Possible disadvantages of Grabient

  • Limited Advanced Features
    Grabient lacks some advanced design features that professional tools offer, such as detailed gradient stops and custom shapes.
  • No Collaboration Tools
    The platform does not support real-time collaboration, which might be a drawback for design teams working together.
  • Dependency on Internet
    As an online tool, users need an internet connection to access and use Grabient, which can be limiting in offline scenarios.
  • No Export Options
    Grabient does not provide direct export options for images or design files, which means users have to manually save and integrate the CSS code.

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.

Grabient videos

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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

Category Popularity

0-100% (relative to Grabient and Plotly)
Design Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Color Gradients
100 100%
0% 0
Data Dashboard
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 Grabient and Plotly

Grabient 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.
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.

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Grabient. While we know about 33 links to Plotly, we've tracked only 1 mention of Grabient. 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.

Grabient mentions (1)

  • Best Color Websites for Front-end Developers & UI Developers.
    Http://grabient.com Grabient Beautiful and simple UI for generating web gradients. - Source: dev.to / 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 / 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
View more

What are some alternatives?

When comparing Grabient and Plotly, you can also consider the following products

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

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.

Coolors.co - The super fast color schemes generator! Create, save and share perfect palettes in seconds!

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

Color Hunt - Curated collection of beautiful colors, updated daily

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