Software Alternatives, Accelerators & Startups

Adobe Color CC VS Plotly

Compare Adobe Color CC 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.

Adobe Color CC logo Adobe Color CC

Generates color themes that can inspire any project.

Plotly logo Plotly

Low-Code Data Apps
  • Adobe Color CC Landing page
    Landing page //
    2023-08-01
  • Plotly Landing page
    Landing page //
    2023-07-31

Adobe Color CC features and specs

  • User-Friendly Interface
    The platform features an intuitive, easy-to-navigate interface, making it accessible for both beginners and seasoned designers.
  • Comprehensive Color Tools
    Adobe Color CC offers a range of tools such as color wheels, harmony rules, and theme extraction from images to aid in creating balanced and visually appealing color schemes.
  • Integration with Adobe Products
    The tool integrates seamlessly with other Adobe Creative Cloud products, allowing for a smooth workflow between projects in Photoshop, Illustrator, and other Adobe applications.
  • Community and Inspiration
    Users can explore and save palettes created by others within the Adobe Color community, offering abundant inspiration and resources.
  • Color Accessibility Tools
    Includes features to check color contrast and color blindness accessibility, ensuring designs are inclusive and accessible to a broader audience.

Possible disadvantages of Adobe Color CC

  • Requires Adobe Account
    Full functionality requires an Adobe Creative Cloud account, which can be a barrier for people not already within the Adobe ecosystem.
  • Internet Dependence
    The tool is web-based, requiring a stable internet connection for access and functionality, which can be a limitation in offline scenarios.
  • Limited Standalone Application
    While powerful, Adobe Color CC is not as feature-rich as standalone software focused solely on color management, potentially requiring additional tools for comprehensive workflows.
  • Subscription Cost
    Accessing the full suite of Adobe tools comes with a subscription fee, which might not be feasible for hobbyists or small businesses.
  • Learning Curve
    Though user-friendly, some advanced features and integrations can have a learning curve, requiring time and practice to master.

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.

Adobe Color CC videos

Five Reasons YOU Should Be USING Adobe Color CC for BETTER COLOR!

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 Adobe Color CC 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 Adobe Color CC and Plotly

Adobe Color CC 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, Adobe Color CC should be more popular than Plotly. It has been mentiond 73 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.

Adobe Color CC mentions (73)

  • Designing Beautiful and Accessible UX: Colour Contrast
    Palette Selection: Choose colours that include a dark, mid, and light shade with good contrast against each other. Using these tonal sets can help your colours sing. Tools that help find complementary, analogous, or triadic colour schemes can also be beneficial - Adobe Color. - Source: dev.to / 9 months ago
  • Hi guys i made a personal portfolio website. How would y'all rate it
    Find a more pleasing set of colors to work with. The light gray font against a white background on your landing page is very difficult to read. If you need help finding colors that work well together try looking at Adobe's Color page, its REALLY useful: https://color.adobe.com/create/color-wheel. Source: over 1 year ago
  • How do you pick paint colors that go well together, that aren't just different shades
    I often use tools like this interactive adobe color wheel when oil painting or doing graphic design. It lets you pick a specific color, and then get analogous, complimentary, split complimentary, or other groups of colors Is there something similar that can be used for paint colors from specific brands? Https://color.adobe.com/create/color-wheel. Source: over 1 year ago
  • New to digital art, any advice?
    Also, the colors are a bit bright and (in my personal opinion, don't know your character) don't match well. There are plenty of sites that can give pretty decent palettes if you don't have anything specific in mind, and can filter for specific colors if you're in, say, a green mood. Adobe Color and Coolors are the ones I use most often. Source: over 1 year ago
  • Color Appearance and the End of Hering’s Opponent-Colors Theory
    > I'd love to code up a machine learning project that showed the user many color combinations. I teach painting in an art school. The huge problem with almost all pallet choosing apps (e.g. Adobe's https://color.adobe.com/) is that they produce swatches: a small collection of discreet color values (e.g. red, green and yellow). These would present as peaks in a hue histogram. These swatches would be great for... - Source: Hacker News / almost 2 years 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 Adobe Color CC and Plotly, you can also consider the following products

Color Hunt - Curated collection of beautiful colors, updated daily

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.

Paletton - Color Scheme Designer

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