Software Alternatives & Startups

Plotly VS GitHub Sponsors

Compare Plotly VS GitHub Sponsors and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

GitHub Sponsors logo GitHub Sponsors

Get paid to build what you love on GitHub
  • Plotly Landing page
    Landing page //
    2023-07-31
  • GitHub Sponsors Landing page
    Landing page //
    2023-04-10

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.

GitHub Sponsors features and specs

  • Financial Support
    GitHub Sponsors provides a way for developers and projects to receive financial support from the community, which can help sustain development and maintenance.
  • Community Engagement
    Sponsoring a developer or project can strengthen community ties and encourage more active participation and contribution from both sponsors and developers.
  • Visibility and Promotion
    Being featured on GitHub Sponsors can increase a project's visibility, potentially attracting more users and contributors.
  • Flexible Sponsorship Options
    Sponsors can offer various amounts and tiers, giving both sponsors and recipients flexibility in managing support and rewards.
  • No Transaction Fees
    GitHub does not charge any fees for using the Sponsors program, allowing the full contribution amount to reach the sponsored developer or project.

Possible disadvantages of GitHub Sponsors

  • Limited Eligibility
    Not all developers or projects are eligible for GitHub Sponsors, which can limit opportunities for those who don't meet the platform's criteria.
  • Dependence on GitHub
    Relying on GitHub Sponsors for funding means being dependent on GitHub’s policies and platform stability, which might change over time.
  • Competition for Sponsors
    With many developers and projects seeking sponsorship, it can be difficult to stand out and secure consistent funding.
  • Pressure to Deliver
    Receiving sponsorship can lead to pressure on developers to deliver updates and new features constantly to satisfy sponsors' expectations.
  • Privacy Concerns
    Sponsorship relationships can make it difficult for developers to maintain privacy, as financial interactions are more public.

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.

Analysis of GitHub Sponsors

Overall verdict

  • Yes, GitHub Sponsors is generally considered a good platform for supporting and sustaining open-source development. It offers a straightforward way for users to contribute financially to projects they find valuable, enhancing the sustainability of open-source contributions.

Why this product is good

  • GitHub Sponsors is a beneficial platform for developers and open-source contributors who seek financial support for their work. It allows developers to receive funds directly from individuals or organizations who appreciate and rely on their projects. This support can help maintainers focus more on development and less on financial constraints, fostering a healthier open-source ecosystem.

Recommended for

  • Open-source software developers looking for funding to continue their project development.
  • Organizations and individuals who rely on open-source tools and wish to support their sustainability.
  • Developers interested in building a community around their projects through transparent and tangible support.

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

GitHub Sponsors videos

GitHub Sponsors -- Game Changing Patreon Alternative for Open Source Funding!

Category Popularity

0-100% (relative to Plotly and GitHub Sponsors)
Data Visualization
100 100%
0% 0
Fundraising And Donation Management
Charting Libraries
100 100%
0% 0
Crowdfunding
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 Plotly and GitHub Sponsors

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.

GitHub Sponsors Reviews

We have no reviews of GitHub Sponsors yet.
Be the first one to post

Social recommendations and mentions

Based on our record, GitHub Sponsors should be more popular than Plotly. It has been mentiond 143 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.

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 / 6 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!🤓
    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 / almost 2 years 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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GitHub Sponsors mentions (143)

  • GitHub should charge everyone $1 more per month
    This... exists? Did they even search for it? https://github.com/open-source/sponsors. - Source: Hacker News / 8 months ago
  • Unveiling Open Software License 2.1: A Comprehensive Review and Future Outlook
    Community-Driven Upgrades: Increased integration of real-time community feedback via platforms such as GitHub Sponsors and social media channels (e.g., Twitter (@fsf)) could drive iterative improvements in the license. - Source: dev.to / over 1 year ago
  • Funding in Open Source: A Conversation with Chad Whitacre
    Chad has been leading the Open Source Pledge, a simple framework to get companies to fund the projects they rely on. The idea is straightforward: for every developer your company employs, allocate $2,000 per year to open source. Distribute those funds however you want—GitHub Sponsors, Open Collective, Thanks.dev, direct payments, etc. The only other ask is to publish a blog post showing what you did. - Source: dev.to / over 1 year ago
  • Exploring GitHub Sponsors: Global Impact and Future Funding Innovations
    Abstract: This post dives into the evolution and global expansion of GitHub Sponsors and its impact on funding open-source projects. We examine its inception, supported countries, technical challenges, and how blockchain innovations and alternative funding models are shaping the future of open source development. From core benefits and practical use cases to potential hurdles and forward-looking trends, this... - Source: dev.to / over 1 year ago
  • Sustainable Funding for Open Source: Navigating Challenges and Emerging Innovations
    This post explores the critical issue of sustainable funding for open source projects. We dive into historical challenges, innovative funding strategies, and future trends that aim to support the collaborative spirit of open source development. Using examples from corporate sponsorships, non-profit foundations, crowdfunding methods, subscription models, government grants, and commercialization, the article... - Source: dev.to / over 1 year ago
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What are some alternatives?

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

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.

Open Collective - Recurring funding for groups.

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

Google Open Source - All of Googles open source projects under a single umbrella

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.

Patreon - Patreon enables fans to give ongoing support to their favorite creators.