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Anvil.works VS Bokeh

Compare Anvil.works VS Bokeh and see what are their differences

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Anvil.works logo Anvil.works

Build seriously powerful web apps with all the flexibility of Python. No web development experience required.

Bokeh logo Bokeh

Bokeh visualization library, documentation site.
  • Anvil.works Landing page
    Landing page //
    2022-03-23

Anvil is a powerful online platform that lets you build web applications with nothing but Python. It comes with two-click deployment, built-in user authentication, easy-to-use databases and loads more!

Learn all about Anvil in 80 seconds: https://youtu.be/3V-3g1mQ5GY

  • Bokeh Landing page
    Landing page //
    2022-11-01

Anvil.works features and specs

  • Ease of Use
    Anvil.works simplifies web development through its drag-and-drop interface and Python-based backend, making it accessible for developers who may not have extensive front-end skills.
  • Integrated Development
    It provides an all-in-one platform, including database management, authentication, and server-side logic, which reduces the need for multiple third-party services.
  • Rapid Prototyping
    The platform allows for quick iteration and development of prototypes, enabling faster testing and validation of ideas.
  • Python Support
    For developers familiar with Python, Anvil.works allows them to leverage their existing knowledge without having to learn JavaScript, HTML, or CSS.
  • Deployment Simplicity
    Deploying an application is straightforward and seamless, as it removes much of the overhead involved in traditional web app deployment.

Possible disadvantages of Anvil.works

  • Limited Flexibility
    Because it's an all-in-one solution, customization might be limited compared to traditional development stacks where you have complete control over all layers of the application.
  • Performance Constraints
    Applications built on Anvil.works might not be as performant as those built with more specialized frameworks or stacks, particularly for very large or complex applications.
  • Vendor Lock-in
    Reliance on Anvil.works means that your application is dependent on their platform. Migrating away can be challenging if their pricing model changes or if the service discontinues.
  • Learning Curve
    While it reduces the need to learn multiple web technologies, there is still a learning curve for mastering the Anvil-specific ways of doing things.
  • Cost
    While there is a free tier, advanced features and higher tiers can become costly, particularly if the platform scales with usage.

Bokeh features and specs

  • Interactive Visualizations
    Bokeh is designed specifically for creating interactive and highly customizable visualizations, making it suitable for engaging data exploration.
  • Python Integration
    Bokeh integrates well with the Python ecosystem, allowing direct use of pandas, NumPy, and other Python libraries, facilitating seamless data manipulation and visualization.
  • Web Compatibility
    Bokeh generates plots that are ready to be embedded into web applications, making it a powerful tool for creating dashboards and interactive reports.
  • Server Functionality
    Bokeh provides a server component that allows users to build and deploy sophisticated interactive applications using just Python.
  • Variety of Plotting Options
    Bokeh offers a wide range of plotting capabilities including charts, maps, and streamgraphs, enabling users to create complex visual stories.

Possible disadvantages of Bokeh

  • Learning Curve
    Bokeh may have a steeper learning curve for users unfamiliar with JavaScript or those looking for a very simple or quick plotting tool.
  • Performance Issues
    When dealing with very large datasets, Bokeh might suffer from performance issues, as it is primarily client-side rendering.
  • Limited 3D Capabilities
    Bokeh's support for 3D plotting is limited compared to other visualization libraries like Plotly, potentially restricting its use for applications that require 3D visualizations.
  • Documentation and Community Size
    While Bokeh has good documentation, its user community is smaller compared to more mature libraries like Matplotlib, which can mean fewer resources and third-party support options.

Analysis of Anvil.works

Overall verdict

  • Anvil.works is considered a good platform for web development, especially for those who prefer a simplified, drag-and-drop interface.

Why this product is good

  • It provides an easy-to-use, visual interface that allows developers to design web apps quickly without needing to handle the complexities of frontend/backend integration manually.
  • Anvil uses Python, a popular and beginner-friendly programming language, allowing developers to write both frontend and backend code.
  • The platform includes built-in components for common web functionalities, such as user authentication, data tables, API management, and email services, enhancing productivity.
  • It is particularly useful for rapid prototyping and creating small to mid-scale applications, thanks to its all-in-one nature.
  • Anvil simplifies the deployment process, allowing for seamless app sharing and scaling without deep DevOps knowledge.

Recommended for

  • Beginners who want to learn web development using Python.
  • Developers interested in rapid application development and prototyping.
  • Small teams or individuals who need to deploy applications quickly without extensive setup.
  • Educators and students looking for a practical, accessible way to build and deploy applications.

Analysis of Bokeh

Overall verdict

  • Yes, Bokeh is a good choice for data visualization, particularly if you need to create interactive, high-quality plots that can be shared and displayed on the web.

Why this product is good

  • Bokeh is a powerful and interactive visualization library for Python that is known for its ability to create elegant, scalable, and versatile graphics. It is especially useful for creating web-ready, interactive plots that can be easily embedded into web pages or applications. Bokeh is praised for its intuitive and flexible interface, making it a great choice for both simple and complex visualizations.

Recommended for

  • Data scientists who need to create interactive visualizations for data exploration.
  • Web developers looking to incorporate dynamic plots into their applications.
  • Educators and researchers who need to present data interactively in a web-based format.
  • Anyone seeking a versatile tool compatible with various data formats and capable of producing real-time streaming plots.

Anvil.works videos

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Bokeh videos

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"Bokeh" - Netflix Film Review

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Category Popularity

0-100% (relative to Anvil.works and Bokeh)

Anvil.works

Bokeh

Developer Tools
100 100%
Developer Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100
Productivity
100 100%
Productivity
0% 0
Data Visualization
0 0%
Data Visualization
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 Anvil.works and Bokeh

Anvil.works Reviews

We have no reviews of Anvil.works yet.
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Bokeh Reviews

Top 8 Python Libraries for Data Visualization
Pygal is a Python data visualization library that is made for creating sexy charts! (According to their website!) While Pygal is similar to Plotly or Bokeh in that it creates data visualization charts that can be embedded into web pages and accessed using a web browser, a primary difference is that it can output charts in the form of SVG’s or Scalable Vector Graphics. These...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Anvil.works seems to be a lot more popular than Bokeh. While we know about 97 links to Anvil.works, we've tracked only 5 mentions of Bokeh. 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.

Anvil.works mentions (97)

  • Delphi Is 30
    I've often compared Anvil (it's web-IDE for web-apps in Python https://anvil.works) to Delphi. I'm curious how you'd rate it on those qualities (off the bat it ticks a lot of those boxes. - Source: Hacker News / 3 months ago
  • Everything I built with Claude Artifacts this week
    I am a bit frustrated that I don't have a great "tool" environment to build out this stuff, because of having to futz with the I/O. Like most of that stuff is "well I know how to write the Python to do the last step, but wrapping it all up in a simple web UI is Too Much Work". That effort might be small, but it's still orders of magnitude larger than the snippet! Lots of TUI interfaces try to approximate this, but... - Source: Hacker News / 7 months ago
  • Ask HN: Who is hiring? (July 2024)
    Anvil (https://anvil.works) | Developer Advocate | Cambridge, UK | ONSITE, VISA | Full-time/part-time/flexible We make an open-source web framework, an online code editor, a GUI builder, and a PaaS hosting platform. Together, you can build and host a full-stack web application - and all you need is a little Python. (Yes, even the client-side code - we compile Python to JS and provide a GUI framework!) We’re... - Source: Hacker News / 11 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Anvil.works - Web app development with nothing but Python. Free tier with unlimited apps and 30-second timeouts. - Source: dev.to / over 1 year ago
  • Ask HN: Who is hiring? (February 2024)
    Anvil (https://anvil.works) | Senior Developer | Cambridge, UK | ONSITE, VISA | Full-time/part-time/flexible We make an open-source web framework, an online code editor, a GUI builder, and a PaaS hosting platform. Together, you can build and host a full-stack web application - and all you need is a little Python. (Yes, even the client-side code - we compile Python to JS and provide our own GUI framework!) We’re... - Source: Hacker News / over 1 year ago
View more

Bokeh mentions (5)

  • [OC] Chemical Diversity of The GlobalChem Common Chemical Universe
    Visualization: https://docs.bokeh.org/en/latest/. Source: about 3 years ago
  • Profiling workflows with the Amazon Genomics CLI
    Now that we can get task timing information in a consistent manner, let’s do some plotting. For this, I’m going to use Bokeh which generates nice interactive plots. - Source: dev.to / about 3 years ago
  • 10 Python Libraries For Data Visualization
    Bokeh The Bokeh library is native to Python and is mainly used to create interactive, web-ready plots, which can be easily output as HTML documents, JSON objects, or interactive web applications. Like ggplot, its concepts are also based on the Grammar of Graphics. It has the added advantage of managing real-time data and streaming. This library can be used for creating common charts such as histograms, bar plots,... - Source: dev.to / over 3 years ago
  • Graphic library Bokeh is underrated and underdocumented
    It's not in the least bit "underrated" and it's documentation is extensive. Source: almost 4 years ago
  • Help with Bokeh Interactive Plot
    Hi guys! I am currently working on a project to enrich my Master thesis with some interactive plots. I have been using the Bokeh library to make a standalone application, which I was then planning to deploy in Heroku. You can find the code in this repository. But I will also add it at the bottom of the post. Source: about 4 years ago

What are some alternatives?

When comparing Anvil.works and Bokeh, you can also consider the following products

Unity - The multiplatform game creation tools for everyone.

Plotly - Low-Code Data Apps

Blender - Blender is the open source, cross platform suite of tools for 3D creation.

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

Unreal Engine - Unreal Engine 4 is a suite of integrated tools for game developers to design and build games, simulations, and visualizations.

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.

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