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JADX VS Plotly

Compare JADX VS Plotly and see what are their differences

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JADX logo JADX

JADX is a decompilation tool that can produce Java Source code from Dex and Apk files, being capable of providing human-readable java classes, it reverses AndroidManifest.

Plotly logo Plotly

Low-Code Data Apps
  • JADX Landing page
    Landing page //
    2023-08-18
  • Plotly Landing page
    Landing page //
    2023-07-31

JADX features and specs

  • User-Friendly Interface
    JADX offers an intuitive and easy-to-navigate graphical user interface, making it accessible for users, even those with limited experience in reverse engineering Android applications.
  • Cross-Platform Support
    The tool is cross-platform, running on Windows, macOS, and Linux, which enhances its accessibility for users operating on different systems.
  • Decompilation Quality
    JADX provides high-quality decompilation from Dex to Java source code, which facilitates understanding and modifications of the code structure.
  • Integration Features
    It integrates well with other tools and plugins, allowing for expanded functionality and making it a versatile tool in a developerโ€™s toolkit.
  • Search and Navigation
    JADX offers advanced search and navigation capabilities, enabling users to quickly locate and analyze specific parts of the codebase.

Possible disadvantages of JADX

  • Limited Obfuscation Handling
    While JADX can handle some obfuscation, highly obfuscated code can still pose challenges, affecting the readability and accuracy of the decompiled source.
  • Resource Intensive
    JADX can be resource-heavy during decompilation, which may lead to performance issues on lower-end machines or when dealing with large APK files.
  • Incomplete Code Conversion
    In certain complex cases, Decompiled Java code might not always compile back perfectly due to incompleteness or inaccuracies in the conversion process.
  • Limited Interactive Debugging
    JADX lacks sophisticated interactive debugging features, which can make it challenging to analyze dynamic behavior or runtime issues.

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.

JADX videos

How to decompile an APK or DEX file using jadx in Windows

More videos:

  • Review - ์•ˆ๋“œ๋กœ์ด๋“œ ์•ฑ ๋ชจ์˜ํ•ดํ‚น - jadx ๋””์ปดํŒŒ์ผ ๋„๊ตฌ์˜ ํ™œ์šฉ๋ฒ• ๋ฐ ์šฉ์–ด ์„ค๋ช…
  • Tutorial - 6-How To Installing Jadx on Linux

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

Category Popularity

0-100% (relative to JADX and Plotly)
Development
100 100%
0% 0
Data Visualization
0 0%
100% 100
Tool
100 100%
0% 0
Charting Libraries
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 JADX and Plotly

JADX Reviews

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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.
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.

Social recommendations and mentions

Plotly might be a bit more popular than JADX. We know about 34 links to it since March 2021 and only 32 links to JADX. 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.

JADX mentions (32)

  • Java Decompiler
    More modern choice would be [jadx](https://github.com/skylot/jadx) or [Vineflower](https://github.com/Vineflower/vineflower). Or if you want to paid, [JEB](https://www.pnfsoftware.com/). - Source: Hacker News / 8 months ago
  • Ask HN: How can I recover and run my old mobile game from the 2010s?
    If you do find an .apk and didn't obfuscate it with proguard (I can't remember if proguard ran default in the release pipeline in Eclipse ADT...which...ew) you can use jadx to decompile your .apk and recover the structure of your source code! https://github.com/skylot/jadx. - Source: Hacker News / 11 months ago
  • I hacked my washing machine
    First up: this isn't criticism of the original post in the slightest, it's a wonderful journey through figuring out how a weird device that wants to be on your wifi works. If you have a device that speaks to an Android app, you want https://github.com/niklashigi/apk-mitm will turn an apk into something that approximates Java, and digging through that will often let you figure out what the key is. But some vendors... - Source: Hacker News / 12 months ago
  • Debugging an Undebuggable App
    > I remember something like dex2jar also, which gave you a jar you could use in any java decompiler, like jdgui, procyon etc. https://github.com/skylot/jadx is very handy for that nowadays. It also supports interactive variable/method/class name renaming to make the decomplied code easier to read. The decompiler isn't perfect, but I guess all available Java decompilers... - Source: Hacker News / over 1 year ago
  • Hunting the Hacker: A Deep Dive into Courier Fraud
    Suspicious of the request, our colleague forwarded the APK to me, knowing my expertise in software development and cybersecurity. My investigation began by downloading and extracting the contents of the APK. Inside, I found several dex files, which I knew contained the app's compiled source code. Using a tool called jadx, (jadx -d extractedapkfile) I decompiled the APK to inspect its source code. - Source: dev.to / about 2 years ago
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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 JADX and Plotly, you can also consider the following products

Apktool - Apktool is an all-in-one tool that can extract all the resources inside an APK.

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.

APK Editor Studio - APK Editor Studio is an open-source Android application editor that allows you to edit APKs with the help of reverse engineering.

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

APK Studio - APK Studio is an open-source Integrated Development Environment that allows you to recompile and decompile Android applications with its unified interface.

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.