Software Alternatives, Accelerators & Startups

Plotly VS Tiny C Compiler

Compare Plotly VS Tiny C Compiler and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Tiny C Compiler logo Tiny C Compiler

The Tiny C Compiler is an x86, x86-64 and ARM processor C compiler created by Fabrice Bellard.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Tiny C Compiler Landing page
    Landing page //
    2019-11-06

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.

Tiny C Compiler features and specs

  • Fast Compilation
    Tiny C Compiler (TCC) is known for its incredibly fast compilation speed, which makes it ideal for quick compilations and testing.
  • Small Size
    TCC has a very small footprint compared to other compilers, making it easy to include in applications and use in environments with limited resources.
  • C99 Support
    TCC provides support for the C99 standard, allowing the use of newer C language features.
  • Dynamic Code Generation
    TCC can compile and execute code dynamically, which can be useful for scripting or embedded contexts.
  • Simplified Licensing
    Under the GNU Lesser General Public License (LGPL), TCC can be more easily used in various projects, including proprietary ones, compared to compilers with more restrictive licenses.

Possible disadvantages of Tiny C Compiler

  • Limited Optimization
    TCC does not perform extensive optimization, which can result in less efficient executable code compared to compilers like GCC or Clang.
  • Incomplete C Standard Library
    TCC's standard C library implementation is not as complete as those of more established compilers, which might lead to compatibility issues.
  • Lack of Detailed Documentation
    Users may find the available documentation lacking in detail, which can hinder learning and debugging for complex projects.
  • Limited Platform Support
    TCC is primarily designed for smaller-scale applications and lacks some platform-specific and cross-compilation capabilities.
  • Fewer Community Resources
    Compared to major compilers like GCC or Clang, TCC has a smaller user community, which can mean fewer tutorials, forums, and third-party support tools.

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

Tiny C Compiler videos

No Tiny C Compiler videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Tiny C Compiler)
Data Visualization
100 100%
0% 0
IDE
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Text Editors
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 Tiny C Compiler

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.

Tiny C Compiler Reviews

We have no reviews of Tiny C Compiler yet.
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Social recommendations and mentions

Tiny C Compiler might be a bit more popular than Plotly. We know about 37 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 / 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
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Tiny C Compiler mentions (37)

  • What every compiler writer should know about programmers (Anton Ertl, 2015) [pdf]
    Some of those already exist, e.g. https://bellard.org/tcc/ However, they're not in widespread use. I would be curious to learn if there's any data/non-anecdotal information as to why. Is it momentum/inertia of GCC/LLVM/MSVC? Are alternative compilers incomplete and can't actually compile a lot of practical programs (belying the "relatively simple program") claim? Or is the performance differential due to... - Source: Hacker News / 6 months ago
  • Git: Introduce Rust and announce that it will become mandatorty
    In theory you should be able to use TCC to build git currently [1] [2]. If you have a lightweight system or you're building something experimental, it's a lot easier to get TCC up and running over GCC. I note that it supports arm, arm64, i386, riscv64 and x86_64. [1] https://bellard.org/tcc/ [2] https://github.com/TinyCC/tinycc. - Source: Hacker News / 11 months ago
  • Weird Lexical Syntax
    > I'm not sure who wants to be able to syntax highlight C at 35 MB per second, but I am now able to do so Fast, but tcc *compiles* C to binary code at 29 MB/s on a really old computer: https://bellard.org/tcc/#speed. - Source: Hacker News / almost 2 years ago
  • Pnut: A C to POSIX Shell Compiler you can Trust
    "Because Pnut can be distributed as a human-readable shell script (`pnut.sh`), it can serve as the basis for a reproducible build system. With a POSIX compliant shell, `pnut.sh` is sufficiently powerful to compile itself and, with some effort, [TCC](https://bellard.org/tcc/). Because TCC can be used to bootstrap GCC, this makes it possible to bootstrap a fully featured build toolchain from only human-readable... - Source: Hacker News / about 2 years ago
  • Cwerg: C-like language that can be implemented in 10kLOC
    For what it's worth you can implement a C compiler in under 10kLOC. The chibi C compiler is only a few thousand lines [1]. There is also Cake [2] and the tiny C compiler [3] which are both relatively small. [1] https://github.com/rui314/chibicc [3] https://bellard.org/tcc/. - Source: Hacker News / over 2 years ago
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What are some alternatives?

When comparing Plotly and Tiny C Compiler, 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...

LLVM - LLVM is a compiler infrastructure designed for compile-time, link-time, run-time, and...

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.

clang - C, C++, Objective C and Objective C++ front-end for the LLVM compiler.