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GitHub VS Plotly

Compare GitHub 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

GitHub logo 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.

Plotly logo Plotly

Low-Code Data Apps
  • GitHub Landing page
    Landing page //
    2023-10-05
  • Plotly Landing page
    Landing page //
    2023-07-31

GitHub

Website
github.com
Pricing URL
Official GitHub Pricing
$ Details
Release Date
2008 January
Startup details
Country
United States
State
California
City
San Francisco
Founder(s)
Chris Wanstrath
Employees
500 - 999
Edit details

Plotly

Website
plotly.com
Pricing URL
Official Plotly Pricing
$ Details
-
Release Date
-
Edit details

GitHub features and specs

  • collaboration
    GitHub provides a platform for multiple developers to work on the same project concurrently, facilitating collaboration through features like pull requests, code reviews, and issues tracking.
  • integration
    GitHub integrates seamlessly with various third-party tools and services, such as CI/CD pipelines, project management tools, and many development environments, enhancing productivity and workflow efficiency.
  • version_control
    Utilizes Git for version control, allowing users to track changes, revert to previous versions if necessary, and manage different branches of development, ensuring code stability and history tracking.
  • community
    With millions of developers and a vast repository of open-source projects, GitHub fosters a robust community where users can contribute to projects, seek help, share knowledge, and collaborate broadly.
  • availability
    GitHub is a cloud-based platform, which means that projects are accessible from anywhere with an internet connection, providing flexibility and convenience to developers globally.
  • documentation
    GitHub allows for comprehensive project documentation through README files, wikis, and GitHub Pages, making it easier for users to understand project context and contribute effectively.

Possible disadvantages of GitHub

  • cost
    While GitHub offers free plans, more advanced features and private repositories come at a cost, which might be a barrier for some individuals or small teams.
  • steep_learning_curve
    For newcomers, especially those unfamiliar with Git, the learning curve can be quite steep, making it challenging to utilize all of GitHub's features effectively.
  • privacy_concerns
    Given its expansive, open nature, users must be cautious with sensitive or proprietary information. Even with private repositories, there is a latent concern over data privacy and security.
  • interface_complexity
    The user interface, while powerful, can be overwhelming and complex for beginners or those not deeply familiar with version control concepts.
  • performance_issues
    Occasionally, GitHub may experience downtime or performance issues, which can disrupt workflow and prevent access to repositories temporarily.
  • limited_storage
    GitHub imposes limitations on storage space and file size within repositories, which can be restrictive for projects requiring large datasets or binaries.

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 GitHub

Overall verdict

  • GitHub is considered an excellent choice for developers and teams looking for a reliable and efficient platform for version control and collaboration. Its community support, extensive documentation, and innovative features make it a preferred choice in the software development community.

Why this product is good

  • GitHub is a widely used platform for version control and collaboration, popular among developers and teams for its robust features, ease of use, and integration capabilities. It allows for streamlined project management, code review, and continuous integration, enhancing productivity and collaborative workflows.

Recommended for

  • Individual developers working on personal projects
  • Software development teams in need of collaborative tools
  • Open-source project maintainers and contributors
  • Organizations looking for scalable version control solutions

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.

GitHub videos

+ Add

How to do coding peer reviews with Github

More videos:

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 GitHub and Plotly)

GitHub

Plotly

Software Development
100 100%
Software Development
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Code Collaboration
100 100%
Code Collaboration
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using GitHub and Plotly. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare GitHub and Plotly

GitHub Reviews

  1. Reinhard
    ยท Boss at CLOUD Meister ยท
    perfect 4 open Source
Best Forums for Developers to Join in 2025
GitHub Discussions is a communication forum for the community around an open source or internal project. Discussions enable fluid, open conversation in a public forum. Discussions are transparent and accessible, but they are not related to code.
Source: www.notchup.com
The Top 10 GitHub Alternatives
However, like any (human) product, the platform has its limits, downsides, and critics. GitHub has been barred by certain governments, and even if that isnโ€™t exactly the companyโ€™s fault, the users are the ones limited from pushing their code. Another criticism concerns the price tag: some users have pointed out that GitHubโ€™s pricing model is too inflexible. Moreover, some...
Source: www.wearedevelopers.com
Top 10 Developer Communities You Should Explore
GitHub also has an extensive API that allows it to integrate workflows seamlessly. Continuous integration, code review tools, and project management features make GitHub an essential tool for any developer, and the community aspect adds a layer of connectivity that enriches the overall experience.
Source: www.qodo.ai
Top 7 GitHub Alternatives You Should Know (2024)
FAQs: Are there any cloud source repositories similar to GitHub?Is there a free alternative to GitHub?
Source: snappify.com
Best GitHub Alternatives for Developers in 2023
We may earn from vendors via affiliate links or sponsorships. This might affect product placement on our site, but not the content of our reviews. See our Terms of Use for details. Looking for an alternative to GitHub? Check out our in-depth list of the best GitHub competitors, covering their features, pricing, pros, cons, and more.
Source: www.techrepublic.com

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, GitHub seems to be a lot more popular than Plotly. While we know about 2464 links to GitHub, we've tracked only 34 mentions of Plotly. 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.

GitHub mentions (2464)

  • How I Manage My VPS With Piโ€™s SSH Extension
    Git clone https://github.com//.git /opt/app Cd /opt/app Docker build -t app . Docker run -d --name app --restart unless-stopped -p 8080:8080 app. - Source: dev.to / 2 days ago
  • Awaithuman: pagerduty mcp
    The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 7 days ago
  • Short-Circuit Your Agent Evals: Tier Order Is a Latency Budget, Not a Preference
    This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ€” every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 7 days ago
  • I Built a Vibe Coding Mess, GitHub Was the Start of Taking Back Control
    ## Tell Git to start tracking your project Git init ## Take a snapshot of all your current files Git add . ## Save this snapshot with a description Git commit -m "Initial commit from AI tool" ## Connect your local project to GitHub ## Get repository URL from your GitHub page ## it looks like https://github.com/your-name/your-repo.git Git remote add origin PASTE_YOUR_URL_HERE ## Upload your code to GitHub Git... - Source: dev.to / 17 days ago
  • Troubleshooting Git Authentication: Fixing "Repository Not Found" on Private Repositories
    Conclusion Next time Git insists a private repository doesn't exist, skip editing your config file and head straight to the Windows Credential Manager. Wiping out the stale git:https://github.com entry forces a clean handshake, getting you back to coding in less than a minute. - Source: dev.to / 17 days ago
View more

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
View more

What are some alternatives?

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

GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab

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.

BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.

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

VS Code - Build and debug modern web and cloud applications, by Microsoft

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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