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Aviyel VS Plotly

Compare Aviyel VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Aviyel logo Aviyel

Make your community fun and awesome.

Plotly logo Plotly

Low-Code Data Apps
  • Aviyel Landing page
    Landing page //
    2023-04-24
  • Plotly Landing page
    Landing page //
    2023-07-31

Aviyel features and specs

  • Community Engagement
    Aviyel focuses on building and nurturing communities around open-source projects, which can help in maintaining and improving these projects through collective input.
  • Project Visibility
    The platform helps open-source projects gain visibility, potentially attracting more contributors and users.
  • Resource Access
    Users can access various resources to help them contribute effectively to open-source projects, such as documentation and community support.
  • Collaborative Tools
    Aviyel provides tools that facilitate collaboration among developers, enhancing productivity and project development speed.

Possible disadvantages of Aviyel

  • Limited Reach
    Since it's a niche platform focusing on open-source communities, it may not reach as wide an audience as more general platforms.
  • Dependency on Community Activity
    The success and value derived from the platform can largely depend on user activity and engagement, which can vary over time.
  • Potential Overlap
    Some users may find that tools and features offered by Aviyel are available through other, more established platforms with larger user bases.
  • Resource Allocation
    For those managing projects, there might be a need to allocate resources to manage and engage with the community on Aviyel, which might divert attention from other areas.

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.

Aviyel videos

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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 Aviyel and Plotly)

Aviyel

Plotly

Open Source
100 100%
Open Source
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Web Icons
100 100%
Web Icons
0% 0
Charting Libraries
0 0%
Charting Libraries
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 Aviyel and Plotly

Aviyel 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.
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 thatโ€™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 should be more popular than Aviyel. It has been mentiond 34 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.

Aviyel mentions (4)

  • Google Season of Docs'22 with Weaviate!
    Due to my habitual writing and good content, I was reached out by Aviyel, for the role of technical writer for their platform. Aviyel is a community platform for open source projects to monetize and be sustainable. This opportunity helped me shape my technical writing skills. My content was reviewed and provided feedback. - Source: dev.to / about 4 years ago
  • Best Communities For Developers To Join
    Aviyel works with open-source creators to build and incentivize active communities, achieve financial independence and increase adoption of their projects. - Source: dev.to / over 3 years ago
  • One Year of Writing: A Look Back and a Look Forward
    Creator at Aviyel - Aviyel supports the growth of Open Source communities. I've contributed to a few Open Source projects by writing articles. Read them here. - Source: dev.to / over 3 years ago
  • Supercharging communityโšกwith Aviyel : A Step-by-Step Guide
    When you're trying to grow a community, it's easy to get caught up in the day-to-day issues that arise and forget about your overall goals. However, it can be challenging to keep moving forward with your community strategies if you set aside time to focus on what matters most and what sorts of tools to use. This article outlines some ways you can achieve and accelerate community goals while keeping your members... - Source: dev.to / over 3 years ago

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • 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 / over 1 year 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 / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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 / over 1 year 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 / about 2 years ago
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What are some alternatives?

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

btw - Delight your customers

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.

GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

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

LaunchKit - Open Source - A popular suite of developer tools, now 100% open source.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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