LibHunt
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LibHunt 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 LibHunt. While we know about 34 links to Plotly, we've tracked only 3 mentions of LibHunt. 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.
Using libhunt.com to compare them ( OpenSphere vs Geojson.io / OpenSphere vs Cesium ), it is clear that Cesium is the largest player in this group. Source: over 3 years ago
I usually use these Https://libs.garden Https://libhunt.com. Source: almost 4 years ago
I am using SearXNG as search engine (private instance) but can't figure out how to exclude some domains like libhunt.com, slant.co, saasub.com and others from the searches. I want to exclude these domains because they pop up in the first results for vs queries but I am looking for real comparisons. Any suggestions? Thanks! Source: about 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 / 5 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
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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.
SaaSHub - Find and promote software that will help you grow your business or to be more productive.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Top Best Alternatives - Search and choose the right software alternative with our crowdsourced software recommendation engine.
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.
