Software Alternatives, Accelerators & Startups

GitHub Student Developer Pack VS Plotly

Compare GitHub Student Developer Pack VS Plotly and see what are their differences

GitHub Student Developer Pack logo GitHub Student Developer Pack

The best developer tools, free for students.

Plotly logo Plotly

Low-Code Data Apps
  • GitHub Student Developer Pack Landing page
    Landing page //
    2023-03-18
  • Plotly Landing page
    Landing page //
    2023-07-31

GitHub Student Developer Pack features and specs

  • Free Access to Premium Tools
    The GitHub Student Developer Pack offers free access to a wide range of premium developer tools and services, which can save students money and provide them with invaluable resources for learning and projects.
  • Learning Opportunities
    It includes access to educational resources such as coding tutorials, courses, and learning platforms, which can greatly enhance a student's learning experience.
  • Professional Experience
    Students can gain hands-on experience with industry-standard tools and services, which can be beneficial for their portfolios and future employment opportunities.
  • Community and Support
    Being part of the GitHub community provides networking opportunities, collaborations, and access to a vast pool of mentors and experienced developers.
  • Version Control Mastery
    GitHub is a leading platform for version control. Students can learn and master Git, an essential skill for any developer.

Possible disadvantages of GitHub Student Developer Pack

  • Eligibility Criteria
    The pack is only available to verified students, which means that not everyone can benefit from it, particularly those who are self-taught learners or out of formal education.
  • Limited Time Access
    Access to the tools and services is limited to the duration of the studentโ€™s academic career, which can be restrictive if they need continued access beyond graduation.
  • Overwhelming Options
    The sheer number of tools and services available through the pack can be overwhelming for beginners, making it challenging to know where to start.
  • Regional Restrictions
    Some services included in the pack may have regional restrictions or may not be available in all countries, limiting the benefits for some students.
  • Dependency on Online Tools
    Reliance on a variety of online tools can lead to fragmentation and inconsistency in the development workflow, especially if services change or are discontinued.

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 Student Developer Pack

Overall verdict

  • The GitHub Student Developer Pack is an excellent resource for students interested in technology, coding, and software development. By removing financial barriers, it empowers students to dive deeper into their studies and personal projects, making it a highly recommended asset for those eligible.

Why this product is good

  • The GitHub Student Developer Pack is highly beneficial because it offers a wide range of free access to developer tools, cloud resources, and other useful services that would otherwise be costly for students. This allows students to explore, learn, and build projects without financial barriers, which is crucial for growth in tech-related fields. It also provides students with opportunities to practice real-world skills and gain exposure to industry-standard tools and platforms.

Recommended for

  • Students currently enrolled in high school or college with an interest in software development, design, and computer science.
  • Individuals looking to build a portfolio of projects using industry-leading tools.
  • Learners who wish to enhance their technical skills by accessing premium resources at no cost.
  • Students eager to explore new technologies and services that can further their career opportunities in tech.

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 Student Developer Pack videos

Github Student Developer Pack (Free stuff for students 2019)

More videos:

  • Tutorial - How to applying for a GitHub Student Developer Pack

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 GitHub Student Developer Pack and Plotly)
Developer Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Education
100 100%
0% 0
Charting Libraries
0 0%
100% 100

User comments

Share your experience with using GitHub Student Developer Pack 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 GitHub Student Developer Pack and Plotly

GitHub Student Developer Pack Reviews

We have no reviews of GitHub Student Developer Pack 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.
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 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.

Social recommendations and mentions

Based on our record, GitHub Student Developer Pack should be more popular than Plotly. It has been mentiond 194 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.

GitHub Student Developer Pack mentions (194)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    GitHub Education โ€” Collection of free services for students. Registration required. - Source: dev.to / over 2 years ago
  • Top 5 Developer/Student Programs
    Validate your student status through the GitHub Student Developer Pack. - Source: dev.to / over 2 years ago
  • Resource : GitHub Student Developer Pack
    See all benefits here : https://education.github.com/pack Sign up here : https://education.github.com/. Source: over 2 years ago
  • GItHub Is Largest Giveaways for student
    FREE GitHub Pro while you are a student โœ“Valuable GitHub Student Developer Pack partner offers +30 companies โœ“GitHub Campus Expert training for qualified applicants. Source: over 2 years ago
  • Student Perks: The Free and Discounted Stuff I am Using Already
    GitHub: The GitHub Student Developer Pack has over 80 different free or discounted services, like cloud hosting, professional IDEs, and basically anything you might use to make a tech project. It takes a few days to get your student status verified. Source: almost 3 years 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 Student Developer Pack and Plotly, you can also consider the following products

Frontend Masters - Frontend Masters offers frontend engineering courses.

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.