Software Alternatives, Accelerators & Startups

Color Hunt VS Plotly

Compare Color Hunt 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.

Color Hunt logo Color Hunt

Curated collection of beautiful colors, updated daily

Plotly logo Plotly

Low-Code Data Apps
  • Color Hunt Landing page
    Landing page //
    2023-10-06
  • Plotly Landing page
    Landing page //
    2023-07-31

Color Hunt features and specs

  • User-Friendly Interface
    Color Hunt offers a simple and intuitive interface, making it easy for users to browse and select color palettes.
  • Variety of Palettes
    The platform offers a wide range of color palettes, catering to different tastes and design needs.
  • Curated Collections
    Color Hunt provides curated collections of color palettes, which can be very helpful for designers looking for inspiration.
  • Free to Use
    The service is completely free, providing valuable resources without any cost.
  • Community Features
    Users can submit their own color palettes, adding a community-driven aspect to the platform.

Possible disadvantages of Color Hunt

  • Limited Interactive Capabilities
    The site does not offer advanced features like color adjustment tools or the ability to create palettes dynamically.
  • No Export Options
    Color Hunt lacks options for exporting palettes directly to design software, requiring manual copying of color codes.
  • Basic Search Functionality
    The search and filtering options are somewhat limited, potentially making it difficult to find specific palettes.
  • No Mobile App
    There is no dedicated mobile app, which can be inconvenient for users who prefer using mobile devices for design work.
  • Dependence on Internet Connection
    Users need an active internet connection to access the palettes, limiting offline usability.

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.

Color Hunt 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 Color Hunt and Plotly)
Design Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Color Tools
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 Color Hunt and Plotly

Color Hunt 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, Color Hunt should be more popular than Plotly. It has been mentiond 70 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.

Color Hunt mentions (70)

  • The Best 100 Free UI/UX Resources for Every Designer & Developer
    Color Hunt Colorhunt.co Curated color palettes for designers. - Source: dev.to / 3 months ago
  • 🎨 Ultimate Front End Design Resource Guide: Elevate Your UI/UX Projects! ❤️
    Color Hunt - Curated color palettes ready to use. - Source: dev.to / 11 months ago
  • Add a custom color to your XCode Project
    Before getting onto Xcode, you need to select the color or color combination that will represent your application. Tools like Adobe Color and Color Hunt can help you develop a palette that fits your application's brand and consequently appeals to your audience. Make sure to get the hexadecimal code for the respective color. - Source: dev.to / about 1 year ago
  • Bridging the Gap: Basic Design Principles for Developers
    Color Hunt - "Color Hunt was created with the goal of celebrating the beauty of colors, and to serve as a go-to resource for color inspiration.". - Source: dev.to / about 1 year ago
  • 19 Handy Websites for Web Developers
    Finding thе pеrfеct color palеttе is simplifiеd with Color Hunt. It offеrs a curatеd collеction of bеautiful color schemes, catering to the aesthetic prеfеrеncеs of developers and designers alikе. - Source: dev.to / over 1 year ago
View more

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 / 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 / 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 Color Hunt and Plotly, you can also consider the following products

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

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.

Color Palette Generator - Enter the URL of an image and find its color palette

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

Adobe Color CC - Generates color themes that can inspire any project.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...