
Commit Print
Commits.io
Craft & Oak
Commit Together by Github
GitHub Skyline
gitbird
Worktale
Nightsky
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Commit Print
PlotlyPlotly 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 seems to be a lot more popular than Commit Print. While we know about 34 links to Plotly, we've tracked only 3 mentions of Commit Print. 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.
Speaking of contributions, there are lots of ways you can celebrate your 2021 achievements. Get your contributions printed on a tshirt, hoodie, tote, or mug with GitMerch or on a poster with Commit Print. These are great ideas for Christmas gifts or if you're looking for something to spice up your home office for 2022. - Source: dev.to / over 4 years ago
Who doesn't like to go down memory lane? Affirm a software engineer of their technical and career growth with a shirt, poster, or 3D model of their GitHub contribution graph. - Source: dev.to / over 4 years ago
You know you can make a poster out of it right? Https://commitprint.com. Source: over 4 years ago
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
Commits.io - Create a poster for your office using your code
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.
Craft & Oak - Beautiful, minimalistic custom map posters
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Commit Together by Github - Now add co-authors to your commits
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.