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BlockCypher VS Plotly

Compare BlockCypher 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

BlockCypher logo BlockCypher

AWS for Block Chains

Plotly logo Plotly

Low-Code Data Apps
  • BlockCypher Landing page
    Landing page //
    2021-09-14
  • Plotly Landing page
    Landing page //
    2023-07-31

BlockCypher features and specs

  • Ease of Use
    BlockCypher offers a simple API structure that makes integration with blockchain services straightforward, even for developers who are new to blockchain technology.
  • Multi-Blockchain Support
    Supports multiple blockchains, including Bitcoin, Ethereum, Litecoin, and Dogecoin, allowing developers to work with different cryptocurrencies in a unified platform.
  • Detailed Documentation
    Comprehensive and well-maintained documentation that helps developers understand and implement their APIs efficiently.
  • High Availability
    Designed for high availability and reliability, which ensures minimal downtime and consistent performance for applications.
  • Advanced Features
    Offers advanced APIs for tracking, creating, and managing transactions, contracts, and wallet functionalities, making it suitable for both basic and complex use cases.
  • Support for Microtransactions
    Offers support for microtransactions, which is beneficial for applications requiring small payments or tipping systems.

Possible disadvantages of BlockCypher

  • Costs
    While BlockCypher offers a free tier, higher usage plans can get expensive, which may not be suitable for startups or low-budget projects.
  • Limited Customization
    Some users might find that the service provides limited customization options, which can be restrictive for highly specialized use cases.
  • Dependency on Third Party
    Relying on a third-party service for blockchain interactions introduces dependency risks, including potential service downtime or changes in API terms.
  • Performance Overhead
    Using an external API can introduce performance bottlenecks due to network latency, compared to running a local solution.
  • Security Concerns
    Although secure, delegating sensitive operations to a third-party service raises security concerns, especially for high-stakes transactions.
  • Limited Control Over Nodes
    Developers do not have direct control over the blockchain nodes, which can occasionally lead to limitations in managing the blockchain environment.

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.

BlockCypher videos

+ Add

Building with Blockchains and BlockCypher - Josh Cincinnati

More videos:

  • Review - FinDEVr SF 2015 / BlockCypher

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 BlockCypher and Plotly)

BlockCypher

Plotly

Cloud Infrastructure
100 100%
Cloud Infrastructure
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Cryptocurrencies
100 100%
Cryptocurrencies
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 BlockCypher and Plotly

BlockCypher Reviews

We have no reviews of BlockCypher yet.
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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 seems to be a lot more popular than BlockCypher. While we know about 34 links to Plotly, we've tracked only 2 mentions of BlockCypher. 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.

BlockCypher mentions (2)

  • Wallet balance not correct?
    So I added old keys to MultiDoge and the wallets synced up but the balances show in MultiDoge doesn't seem to be correct. I've checked all addresses that I've added against blockcypher.com and it shows 0 balance on all but one which shows the same on Blockcypher and in MultiDoge. Is MultiDoge malfunctioning (Most likely I guess)? It shows that it's synced with the latest block. Source: over 4 years ago
  • Bitcoin newbie - sent 2 transactions with too low a fee (non replaceable).
    Thanks for that - really helpful video. Looks like my only option is to wait it out and have the transaction bounced back, but what I can't understand is that the receiver reckons they have it, yet when I try and look at the transaction id in blockstream.info its not there, but does show up under blockcypher.com Anyway, its coming up to a couple of weeks soon so will see what happens. Source: over 5 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 BlockCypher and Plotly, you can also consider the following products

Hyperledger - Hyperledger is a multi-project open source collaborative effort hosted by The Linux Foundation, created to advance cross-industry blockchain technologies.

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.

Kaleido Blockchain Business Cloud - Create and manage enterprise private blockchain networks within minutes using Kaleido's platform. Our full-stack enterprise blockchain as a service and cloud integrations support your entire blockchain journey, from PoC to live production.

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

IBM MQ - IBM MQ is messaging middleware that simplifies and accelerates the integration of diverse applications and data across multiple platforms.

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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