
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Binary Ninja
IDA
Ghidra
OllyDbg
X64dbg
Cutter
radare
Malcat
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.
Based on our record, Plotly should be more popular than Binary Ninja. 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.
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 / 6 months ago
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
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
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 / almost 2 years ago
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
Binary Ninja deserves a mention in these threads: https://binary.ninja I've used IDA, Ghidra, and Binary Ninja a lot over the years. At this point I much prefer Binary Ninja for the task of building up an understanding of large binaries with many thousands of types and functions. It also doesn't hurt that its UI/UX feel like something out of this century, and it's very easy to automate using Python scripts. - Source: Hacker News / 7 months ago
Binary Ninja: https://binary.ninja/ :) Think someone has already linked it below! - Source: Hacker News / almost 2 years ago
Found it out myself, https://binary.ninja/. - Source: Hacker News / almost 2 years ago
If you really want to poke around in the binary, you can use a decompiler like IDA, Ghidra, or Binary Ninja's free version. Source: almost 3 years ago
Still $$$ for crippled functionality. As an alternative, https://binary.ninja is gaining traction at work. - Source: Hacker News / about 3 years ago
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.
IDA - The best-of-breed binary code analysis tool, an indispensable item in the toolbox of world-class software analysts, reverse engineers, malware analyst and cybersecurity professionals.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Ghidra - Software Reverse Engineering (SRE) Framework
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.
OllyDbg - OllyDbg is a 32-bit assembler level analysing debugger.