Software Alternatives, Accelerators & Startups

Plotly VS Moralis

Compare Plotly VS Moralis and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

Moralis logo Moralis

Scalable, fast and robust web3 infrastructure to build dApps
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Moralis Landing page
    Landing page //
    2023-03-29

The premier Web3 development platform. Go to market in minutes or hours, instead of weeks or months, using Moralis' powerful blockchain backend infrastructure. Web3 is just a snippet of code away!

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.

Moralis features and specs

  • Ease of Use
    Moralis provides a user-friendly interface and comprehensive documentation, making it accessible for developers to easily integrate blockchain features into their applications.
  • Cross-Chain Compatibility
    Supports multiple blockchain platforms, allowing developers to build applications that can interact with various blockchain networks without changing the codebase significantly.
  • Real-time Notifications
    Offers real-time alerts and updates, keeping applications responsive to blockchain events and ensuring data is always up-to-date.
  • API and SDK Support
    Provides robust APIs and SDKs for various programming languages, facilitating streamlined and efficient development processes.
  • Integrated Authentication
    Simplifies the process of integrating user authentication with popular methods such as MetaMask and WalletConnect, enhancing security and user experience.

Possible disadvantages of Moralis

  • Dependency on External Platform
    Relying on Moralis for backend services might lead to challenges if there are changes in service terms, availability, or pricing structures.
  • Learning Curve for Customization
    While basic functionalities are easy to implement, there is a steeper learning curve when it comes to customizing and fine-tuning more advanced features.
  • Potential Performance Bottlenecks
    Performance bottlenecks may occur due to network latency or service downtime, which can affect the speed and reliability of applications.
  • Limited Control over Backend Infrastructure
    Developers may have limited visibility and control over the backend infrastructure, which can be a concern for specific use cases requiring custom operational adjustments.

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 Moralis

Overall verdict

  • Moralis is generally considered a good platform for developers looking to build and deploy dApps quickly and efficiently. Its robust suite of tools and features, combined with strong community support and comprehensive documentation, makes it a valuable resource in the Web3 ecosystem.

Why this product is good

  • Moralis is widely regarded in the Web3 development community for its streamlined approach to building decentralized applications (dApps). It offers powerful development tools, including serverless infrastructure, real-time database capabilities, and cross-chain compatibility, which significantly speed up the development process. Moralis also provides integration with popular blockchain networks such as Ethereum, Binance Smart Chain, and Polygon, allowing developers to leverage its infrastructure for multi-chain projects.

Recommended for

  • Developers building decentralized applications
  • Teams needing scalable and efficient backend solutions
  • Projects requiring cross-chain compatibility
  • Startups and enterprises in the blockchain space
  • Beginner developers looking to explore Web3 technologies

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

Moralis videos

How to Build Web3 Dapps (Ganache, Truffle, Moralis) - Ivan on Tech Explains

More videos:

  • Review - What is Moralis Web3? Build and Ship Dapps Quickly [SHORT VERSION]

Category Popularity

0-100% (relative to Plotly and Moralis)
Data Visualization
100 100%
0% 0
Crypto
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Developer Tools
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 Moralis

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.

Moralis Reviews

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

Social recommendations and mentions

Plotly might be a bit more popular than Moralis. We know about 34 links to it since March 2021 and only 31 links to Moralis. 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 / 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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Moralis mentions (31)

  • 7 Best Crypto APIs for AI Agent Development in 2026
    Moralis processes over 50 billion API calls annually and offers a free tier with 40,000 compute units per day. The Streams API enables webhook-based event monitoring, allowing agents to react to on-chain events in real time rather than polling. - Source: dev.to / 3 months ago
  • How to List Held Tokens by an Address Using the Moralis API
    Moralis API Key: Sign up at Moralis to get your free API key. - Source: dev.to / over 1 year ago
  • OptiSuggestion
    One way to do this is have a node running and triggers a script when an event is sent to the chain. There are ways already built up like https://moralis.io/, but then you can get in to the weeds with things like https://docs.prylabs.network/docs/install/install-with-script. Source: over 2 years ago
  • How to learn solidity (videos, books, etc)
    OpenZeppelin's site is good once you become more familiar with what it is you're doing, and I would also strongly recommend you sign up for a free account with Alchemy who offer a super generous amount of tools/features for you to use, and they recently started up their Alchemy academy -- it's still on waitlist right now but if you're wanting to get in, shoot me a reply in this thread and I'll hook you up. ... Source: about 3 years ago
  • How to query all data from a ERC721(NFT) contract
    An API might be a good option for you, moralis has worked well for me in the past - https://moralis.io. Source: almost 4 years ago
View more

What are some alternatives?

When comparing Plotly and Moralis, 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.

QuikNode.io - Blockchain Infrastructure Cloud

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

thirdweb - thirdweb is an ecosystem of SDKs, dev tools, and dashboards that help teams build and manage web3 apps. Deploy custom or pre-built contracts to ETH, MATIC, AVAX, & more.

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.

Ethereum - Ethereum is a decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.