Software Alternatives, Accelerators & Startups

Plotly VS clang

Compare Plotly VS clang and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

clang logo clang

C, C++, Objective C and Objective C++ front-end for the LLVM compiler.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • clang Landing page
    Landing page //
    2021-08-01

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.

clang features and specs

  • High Performance
    Clang is known for its fast compilation time and efficient use of memory, which makes it ideal for large projects that require frequent builds.
  • Modular Design
    The modular design of Clang allows developers to easily integrate it with other tools and projects. This flexibility is particularly beneficial for custom compilers and IDEs.
  • Expressive Diagnostics
    Clang provides highly detailed and easy-to-understand error and warning messages, which help developers quickly identify and fix coding issues.
  • LLVM Infrastructure
    Being a part of the LLVM project, Clang benefits from a robust and active community. It gets frequent updates and improvements, keeping it at the forefront of compiler technology.
  • Cross-Platform Support
    Clang supports multiple platforms, including Windows, macOS, and Linux. This makes it a versatile choice for cross-platform development projects.

Possible disadvantages of clang

  • Limited Legacy Support
    Clang may not support some older or obscure language extensions that other compilers, like GCC, might handle. This can be an issue when working with legacy codebases.
  • Evolving Ecosystem
    As part of a rapidly evolving ecosystem, Clang can introduce breaking changes or deprecations that require developers to frequently update their code.
  • Resource Intensive
    Although Clang is efficient, the compilation of very large codebases might require significant system resources, potentially straining less powerful systems.
  • Less Mature in Certain Areas
    Compared to GCC, Clang can be less mature in handling certain language features or optimizations, especially in newer or less common use cases.

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.

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

clang videos

Use Clang on Windows, Linux, and macOS

More videos:

  • Review - The Clang Swordsman
  • Review - CLANG AND BANG: BI'S AND TRI'S FOR DAYS!

Category Popularity

0-100% (relative to Plotly and clang)
Data Visualization
100 100%
0% 0
IDE
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Email Marketing
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 clang

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.

clang Reviews

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

Social recommendations and mentions

Based on our record, Plotly should be more popular than clang. It has been mentiond 34 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.

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 / 5 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

clang mentions (15)

  • Avoid the Temptation of Header-Only Libraries
    If youโ€™re using gcc or clang, you can use the weak attribute; if youโ€™re using MSVC, youโ€™re out of luck since no equivalent attribute exists. - Source: dev.to / 9 months ago
  • Attributes in C23 and C++
    Prior to C23 or C++11, the only way to attach attributes was using compiler-specific syntax such as __attribute__ for gcc and clang, or __declspec for MSVC. - Source: dev.to / about 1 year ago
  • dotnet cross-platform interop with C via Environment.ProcessId system call
    I want to compile C program for various operating systems from one machine, that's why on macOS M1 I use zig drop-in replacement compiler (can be used on Linux, Windows too) for cross-platform compilation. There are also clang, gcc (usually pre-installed on macOS and Linux). For Windows there are Visual Studio installer or mingw (which installs gcc). - Source: dev.to / over 1 year ago
  • S2S Compilers: Understanding Switch Case Statements
    If you are turning your source code into languages such as C or C++, it is required to have great understanding and knowledge of C/C++. Since these languages also have compilers be it GNU Compiler Collection or Clang, we have to do a lot of digging and researching around their features and functionalities. There is a lot of benefit in that once the target codebase grows and developers start reusing the target... - Source: dev.to / over 1 year ago
  • Ready to miss a semi colon and spend the next hour stressing over what went wrong?
    Clang is an LLVM based C compiler that "allows better diagnostics, better integration with IDEs, a license that is compatible with commercial products, and a nimble compiler that is easy to develop and maintain," compared to other options. Source: almost 4 years ago
View more

What are some alternatives?

When comparing Plotly and clang, 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.

GNU Compiler Collection - The GNU Compiler Collection (GCC) is a compiler system produced by the GNU Project supporting...

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

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

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.

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...