Software Alternatives, Accelerators & Startups
Register | Login

Doodad.dev's Pattern Generator VS Plotly

Compare Doodad.dev's Pattern Generator VS Plotly and see what are their differences

IsDown.app
Monitor all your cloud services with our status page aggregator. IT teams choose IsDown to monitor all their vendors and get alerts whenever an outage occurs. Integration with Datadog, PagerDuty, Slack, Microsoft Teams, and a lot more. featured
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.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Doodad.dev's Pattern Generator logo Doodad.dev's Pattern Generator

A free tool for creating unique, royalty-free, repeatable patterns.

Plotly logo Plotly

Low-Code Data Apps
  • Doodad.dev's Pattern Generator Landing page
    Landing page //
    2023-09-02
  • Plotly Landing page
    Landing page //
    2023-07-31

Doodad.dev's Pattern Generator features and specs

  • Ease of Use
    Doodad.dev's Pattern Generator offers a user-friendly interface that allows users to create patterns easily without any prior design experience.
  • Customizability
    The tool provides a range of options to customize patterns, including colors, shapes, and sizes, allowing for personalized designs.
  • Instant Preview
    Users can see real-time updates as they modify their pattern settings, which helps in quick adjustments and fine-tuning.
  • Resource Saving
    It enables designers to generate seamless patterns quickly, saving time and effort in creating designs from scratch.
  • Cloud-Based
    Being a web-based application, it doesn't require any software installation, making it accessible from any device with internet access.

Possible disadvantages of Doodad.dev's Pattern Generator

  • Limited Complexity
    While it provides basic customization options, it might not support complex pattern designs required by professional designers.
  • Dependency on Internet
    Since it is an online tool, users need a stable internet connection to access and use the Pattern Generator.
  • Potential Compatibility Issues
    Some users may experience compatibility issues or performance lags depending on their browser or operating system.
  • Feature Limitations
    Free versions may have restrictions on some advanced features or export options, thus limiting its use for certain projects.
  • Quality of Output
    The quality of generated patterns may not match professional design software outputs, which could be a concern for high-resolution projects.

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.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Doodad.dev's Pattern Generator videos

No Doodad.dev's Pattern Generator videos yet. You could help us improve this page by suggesting one.

Add video

Plotly videos

+ Add

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 Doodad.dev's Pattern Generator and Plotly)

Doodad.dev's Pattern Generator

Plotly

Design Tools
100 100%
Design Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Development
100 100%
Development
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Doodad.dev's Pattern Generator and Plotly. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Doodad.dev's Pattern Generator and Plotly

Doodad.dev's Pattern Generator Reviews

We have no reviews of Doodad.dev's Pattern Generator yet.
Be the first one to post

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 seems to be a lot more popular than Doodad.dev's Pattern Generator. While we know about 33 links to Plotly, we've tracked only 1 mention of Doodad.dev's Pattern Generator. 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.

Doodad.dev's Pattern Generator mentions (1)

  • Building a JavaScript Yak Bak clone with Tone.js — Part 2
    Finally, our speaker needs a dot pattern to simulate the speaker grill on the Yak Bak. I’ve used https://doodad.dev/pattern-generator/ to generate the pattern, and clicked “CSS Background Image” to get the CSS property we need to add to our code. The site gives the code assigned to the background property, which will overwrite the background property we already have assigned for color. We can change it to... - 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 / 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 / 12 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 Doodad.dev's Pattern Generator and Plotly, you can also consider the following products

Pattern Monster - Pattern Monster is a pattern maker app to create vector patterns for your projects

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.

Patterninja - Create patterns online

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

PatternPad - Create beautiful geometric patterns

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

Loading...