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Shake Pay VS Plotly

Compare Shake Pay 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

Shake Pay logo Shake Pay

Mobile bitcoin debit card

Plotly logo Plotly

Low-Code Data Apps
  • Shake Pay Landing page
    Landing page //
    2023-04-12
  • Plotly Landing page
    Landing page //
    2023-07-31

Shake Pay features and specs

  • User-Friendly Interface
    Shakepay offers a simple and intuitive interface that makes it easy for beginners to buy, sell, and manage cryptocurrency.
  • Instant Verification
    The platform provides quick account verification, allowing users to start trading almost immediately.
  • Free E-Transfers
    Shakepay allows free Interac e-Transfers for depositing and withdrawing funds, which is convenient for Canadian users.
  • Referral Program
    Users can earn Bitcoin by inviting friends to join Shakepay through their referral program.
  • Instant Buy/Sell
    Shakepay offers the ability to quickly buy and sell Bitcoin and Ethereum, appealing to users who want to trade efficiently.

Possible disadvantages of Shake Pay

  • Limited Cryptocurrency Options
    Shakepay currently supports only Bitcoin and Ethereum, which may not cater to users looking for a wider selection of cryptocurrencies.
  • Canadian Users Only
    The platform is available exclusively to residents of Canada, limiting its accessibility to a wider audience.
  • No Advanced Trading Features
    Shakepay lacks advanced trading features like order books and limit orders, which might not satisfy experienced traders.
  • Lack of Transparency
    Some users have noted a lack of clarity regarding Shakepay's fees and how the exchange rates are determined.
  • No Interest Products
    Unlike some other platforms, Shakepay does not offer interest-earning accounts for holding cryptocurrencies.

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.

Shake Pay 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 Shake Pay and Plotly)

Shake Pay

Plotly

Cryptocurrencies
100 100%
Cryptocurrencies
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Finance
100 100%
Finance
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 Shake Pay and Plotly

Shake Pay 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

Plotly might be a bit more popular than Shake Pay. We know about 34 links to it since March 2021 and only 32 links to Shake Pay. 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.

Shake Pay mentions (32)

  • Ask HN: What are some cool or underrated tech companies based in Canada?
    Https://shakepay.com/ - Nice easy to use crypto Fintech. - Source: Hacker News / about 1 year ago
  • Ask HN: Who is hiring? (February 2025)
    Shakepay | Senior/Staff Full Stack, Senior/Staff Platform DX | Full-time | Canada (remote) | https://shakepay.com/ Hey folks, I am a long-time lurker and a first-time poster (in this thread). I'm Michael - Head of Engineering at Shakepay, a FinTech located in Canada (with offices in Montreal and Toronto). We're looking to hire senior/staff folks to help us build and launch new financial products at the... - Source: Hacker News / over 1 year ago
  • How to buy in Canada
    A lot of people use https://shakepay.com/ or https://www.bullbitcoin.com/ in Canada. Source: over 2 years ago
  • Shakepaytrade?
    Please only use our official link if you're looking to use our platform: https://shakepay.com/. Source: over 3 years ago
  • Lost access to my account because I changed email addresses
    Just as an FYI, you can always contact our support team without being logged in by going to our website (shakepay.com) and clicking the blue chat bubble in the bottom right hand corner. Source: over 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 Shake Pay and Plotly, you can also consider the following products

1inch - A userโ€‘friendly wallet as an entry point to DeFi

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.

PayTrie - PayTrie is a Canadian cryptocurrency exchange platform that is built from the ground up to provide its users with a quality, safe, secure, and easy-to-use cryptocurrency trading platform.

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

Newton.co - Newton.co is a cryptocurrency brokerage that lets you buy and sell digital assets through Canadaโ€™s most reliable and secure platform.

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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