
Plotly
D3.js
RAWGraphs
Tableau
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Google Charts
Bokeh
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Codemap
Nocodery
CodeSee Maps
Cursor
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NoCode Job Board
Codesteward.ai
Plotly
CodemapPlotly 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.
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Based on our record, Plotly should be more popular than Codemap. 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 / 4 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 / over 1 year 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
2 years ago I made a code visualization tool called Codemap, https://codemap.app, which visualizes function calls in any codebase as a graph, to give the software engineers a high-level understanding of their code. Last year I noticed its user sign-ups are ticking up quickly, acquiring hundreds of users in a few months, so I decided to redesign the app and add more language supports (now supporting Typescript,... - Source: Hacker News / over 3 years ago
I appreciate you are not charging $$$ for this! Have you seen https://codemap.app/ ? Might be worth adding if you're looking for any more resources. Source: over 3 years ago
Happy new year! I want to share Codemap, a code visualization tool for software engineers to quickly grasp the architecture of any codebase at a glance. It supports Typescript/Javascript, Python, Ruby, Go, and it runs on all platforms (Mac/Linux/Windows). I'm actively working on supporting Java and C/C++. Source: over 3 years ago
I have been looking for something like that for a while and your reply made me look again. I just came across Codemap (havenโt tried): https://codemap.app/. - Source: Hacker News / almost 4 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.
Nocodery - The nocode job board
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
CodeSee Maps - Maps are auto-generated, self-updating code diagrams.
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.
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.