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Apache APISIX VS Plotly

Compare Apache APISIX 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

Apache APISIX logo Apache APISIX

Apache APISIX is a dynamic, real-time, high-performance Cloud-Native API gateway, based on the Nginx library and etcd.

Plotly logo Plotly

Low-Code Data Apps
  • Apache APISIX Landing page
    Landing page //
    2022-06-27
  • Plotly Landing page
    Landing page //
    2023-07-31

Apache APISIX features and specs

  • High Performance
    Apache APISIX is built on top of Nginx and designed to handle thousands of requests per second. This makes it suitable for high-performance applications and services requiring efficient request processing.
  • Dynamic Configuration
    APISIX allows for dynamic load balancing, routing, and plugin configuration without the need to restart or reload the service, offering robust flexibility and reducing downtime.
  • Extensive Plugin Ecosystem
    APISIX offers a wide range of plugins to extend its functionalities, covering authentication, security, traffic control, and more, allowing for customization and scalability.
  • Open Source and Community-driven
    Being an Apache project, APISIX is open-source and actively maintained by a community of contributors, ensuring continuous improvement and support.
  • Multi-language Support
    APISIX supports multi-language plugins such as Java, Go, and Python, thereby allowing developers to write plugins in the language they are most comfortable with.

Possible disadvantages of Apache APISIX

  • Complexity of Setup
    Setting up Apache APISIX can be complex for new users, requiring familiarity with Nginx and understanding its configuration model, which might involve a steep learning curve.
  • Documentation Gaps
    While the project is actively improved, some users might experience gaps or inconsistencies in the documentation, posing challenges during setup and customization.
  • Limited Enterprise Support
    Compared to some commercial API management solutions, APISIX might lack dedicated enterprise-level support, which could be a concern for organizations requiring rapid troubleshooting and expert assistance.
  • Evolving Features
    As a relatively new project, some features and components may still be evolving, which means users may encounter changes that require adaptation and adjustments over time.

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.

Apache APISIX videos

+ Add

Getting started with Apache APISIX Dashboard

More videos:

  • Review - Getting started with Apache APISIX
  • Review - APIs security with Apache APISIX

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 Apache APISIX and Plotly)

Apache APISIX

Plotly

Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
API Tools
100 100%
API Tools
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 Apache APISIX and Plotly

Apache APISIX Reviews

We have no reviews of Apache APISIX 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, Apache APISIX should be more popular than Plotly. It has been mentiond 74 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.

Apache APISIX mentions (74)

  • AI Gateways in 2026: a field guide to the 106 cost problem
    Self-hosted, your infrastructure. Your keys, your network, no per-token middleman fee โ€” you pay only for the box it runs on. LiteLLM is the broad default (Python, 100+ providers, virtual keys and budgets). If the gateway must never be your bottleneck, Bifrost (Go) and TensorZero (Rust) are built for throughput. If you already run Kubernetes, the AI plugins on Kong, Higress or Apache APISIX mean one less new... - Source: dev.to / 22 days ago
  • You shouldn't use Redis as a rate limiter
    Who would want to use a distributed key-value cache as a rate limiter? Use APISIX[0] instead. 0 - https://apisix.apache.org/. - Source: Hacker News / 11 months ago
  • Automating APISIX TLS Secrets with CertManager using Argo Events: A Hands-On Guide
    To install APISIX, follow the APISIX documentation. In this article, we assume youโ€™ve installed APISIX with the Admin API in the gateway namespace. - Source: dev.to / about 1 year ago
  • Announcing Integration between Apache APISIX and open-appsec WAF
    Apache APISIX is a modern, flexible, and high-performance open-source API gateway solution designed to handle various use cases in microservices and cloud-native architectures. Its primary purpose is to facilitate API management by serving as a gateway for managing, securing, and optimizing API traffic between clients and backend services. - Source: dev.to / over 1 year ago
  • open-source API gateway solutions and their managed offerings.
    Kong and APISIX, two popular open-source #APIGateway solutions. #kong looks versatile Unified Gateway but how it fares against #APISIX backed by a similar enterprise API7 offering. - Source: dev.to / almost 2 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 Apache APISIX and Plotly, you can also consider the following products

Prometheus - An open-source systems monitoring and alerting toolkit.

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.

etcd - A distributed, reliable key-value store for the most critical data of a distributed system

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

VS Code - Build and debug modern web and cloud applications, by Microsoft

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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