Software Alternatives, Accelerators & Startups

Plotly VS GetStream.io

Compare Plotly VS GetStream.io and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

GetStream.io logo GetStream.io

APIs for the development of scalable newsfeeds and chat applications.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • GetStream.io Landing page
    Landing page //
    2023-06-30

GetStream.io

$ Details
paid
Platforms
iOS Android REST API Cross Platform
Release Date
2014 January
Startup details
Country
United States
State
Colorado
City
Boulder
Founder(s)
Thierry Schellenbach
Employees
100 - 249

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.

GetStream.io features and specs

  • Scalability
    GetStream.io is designed to handle large-scale applications with ease, making it suitable for both small projects and enterprise-level implementations.
  • Real-time Updates
    Provides robust real-time functionalities, allowing for instant updates and notifications, which is crucial for chat applications and activity feeds.
  • Flexibility
    Offers a wide variety of SDKs and APIs for different programming languages, giving developers the flexibility to integrate the services within a wide range of applications.
  • Feature-rich
    Includes features like user authentication, image processing, moderation tools, analytics, and more, providing a comprehensive solution for social feeds and chat functionalities.
  • Security
    Implements robust security measures like JWT (JSON Web Tokens) for ensuring secure communication between clients and servers.
  • Documentation and Support
    Offers extensive documentation and dedicated customer support, helping developers to efficiently integrate and troubleshoot the service.

Possible disadvantages of GetStream.io

  • Complex Pricing
    The pricing model can be complex and may become expensive for large-scale implementations, which could be a deterrent for some businesses.
  • Initial Learning Curve
    Can have a steep initial learning curve, especially for developers who are not familiar with real-time technologies or the specific APIs provided by GetStream.io.
  • Dependency
    Relying on an external service for critical application features introduces dependency risks, such as uptime dependency and potential service changes.
  • Latency
    Depending on user locations and service regions, there might be latency issues, which could impact the real-time performance for some users.
  • Customization Limits
    While feature-rich, there might be limitations on customization options if the provided functionalities do not align perfectly with specific use-case requirements.

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 GetStream.io

Overall verdict

  • GetStream.io is generally considered a good choice for developers and companies needing a reliable and scalable solution for integrating activity feeds and chat functionality into their applications. Its comprehensive feature set and ease of integration make it a favorite among many in the developer community.

Why this product is good

  • GetStream.io is widely regarded as a reliable service for building scalable, activity feed and chat applications. It offers a robust API and pre-built components to help developers implement real-time features quickly and efficiently. Its strength lies in the ease of use and customizability it provides, along with excellent documentation and support. Furthermore, it scales well with increasing demand, making it suitable for applications with significant growth potential.

Recommended for

  • Developers seeking to integrate real-time chat into their applications
  • Companies needing scalable activity feed infrastructure
  • Startups looking for quick-to-deploy solutions with strong support
  • Applications expecting significant user base growth
  • Projects requiring high customizability and robust API access

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

GetStream.io videos

Reviewing Your Twitch Channels LIVE - STREAM REVIEW EP14

More videos:

  • Review - Do you REALLY need a Stream Deck? - Elgato Stream Deck XL Review & Explanation
  • Review - Ninja Reviews the Elgato Stream Deck

Category Popularity

0-100% (relative to Plotly and GetStream.io)
Data Visualization
100 100%
0% 0
APIs
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Voice And Messaging API
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 GetStream.io

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.

GetStream.io Reviews

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

Social recommendations and mentions

GetStream.io might be a bit more popular than Plotly. We know about 48 links to it since March 2021 and only 34 links to 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.

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

GetStream.io mentions (48)

  • Build a Real-Time Voice RAG Agent for Your Documentation
    We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come from search over your uploaded documents instead of guesswork. The code stays small and most of the behavior lives in one registered function that asks the memory store for relevant... - Source: dev.to / 2 months ago
  • Build an AI teammate to help with your Postgres
    In this tutorial, we build exactly that kind of AI teammate. Instead of piecing together complex infrastructure (audio pipelines, transcription, NLP, TTS, avatars), we'll use Vision Agents to tie everything together, using Stream's WebRTC APIs, and give the AI both a voice and a human-like video presence using ElevenLabs voice and Anam avatars. The system weโ€™ll create can listen, query Postgres, and respond during... - Source: dev.to / 3 months ago
  • ZEGOCLOUD Competitors โ€“ Comparing the Top 9 Alternatives
    Stream provides real-time video, audio, and chat APIs with a strong emphasis on developer experience, in-app interactivity, and reliability at scale. Instead of trying to cover every possible engagement feature, Stream focuses on building high-quality, low-latency communication with clean SDKs, polished UI kits, built-in moderation, and consistent cross-platform behavior. Product teams choose Stream when they want... - Source: dev.to / 6 months ago
  • ActiveFence Competitors โ€“ Comparing the Top 8 Alternatives
    Do you need more than moderation? Some providers offer additional APIs for real-time communication features, like chat, video, audio, and feeds. This allows you to unify engagement and moderation within the same platform. If youโ€™re already building interactive or community-driven experiences, an all-in-one ecosystem may reduce overhead and simplify your stack. - Source: dev.to / 6 months ago
  • Build AI-Powered Smart Replies with React and Synthetic
    Stream is a platform that provides APIs and SDKs for developers to build real-time chat, video, and activity feeds into their applications. - Source: dev.to / 7 months ago
View more

What are some alternatives?

When comparing Plotly and GetStream.io, 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.

SendBird - SendBird is messaging-as-a-service.

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

PubNub - PubNub is a real-time messaging system for web and mobile apps that can handle API for all platforms and push messages to any device anywhere in the world in a fraction of a second without having to worry about proxies, firewalls or mobile drop-offs.

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.

Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.