Instagram VS Plotly
Compare Instagram VS Plotly and see what are their differences
A multilingual content platform supporting 200+ languages. Authors, readers, and translation investors create value together.
featured
Instagram
Facebook
X (Twitter)
PixelFed
Snapchat
Flickr
Reddit
Tumblr
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Instagram 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.
Instagram is the best social media platform for me I personally really like because it is not just for sharing pictures ,reels and stories but also I am working most of the time to promote the businesses and increase the sales. I run paid ads on Instagram see the insights of progress of that ad and the most important and great feature of Instagram business is that it allow us to targeted audience for our product and services as a result we get more sales so that is the most favourite thing which I like in this platform.
its very useful to show your talent like the meme pages also for the updates and knowledge
Based on our record, Instagram should be more popular than Plotly. It has been mentiond 70 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.
// embed.js Const { EmbedBuilder } = require('discord.js'); Function buildPostEmbed(post, platform, username) { const embed = new EmbedBuilder() .setColor(platform === 'instagram' ? 0xE1306C : 0x000000) .setAuthor({ name: `@${username} posted on ${platform}`, url: platform === 'instagram' ? `https://instagram.com/${username}` : `https://tiktok.com/@${username}`, }) ... - Source: dev.to / 3 months ago
By sending a GET request to [instagram.com/](http://instagram.com/) with specific mobile headers, the server returned the full polaris_timeline_connection JSON object containing direct CDN links to private posts, captions, and media. No login or follower relationship was required. The Timeline & Contradiction: - Oct 12: I reported the issue, with a video, poc script, and testing on my account... - Source: Hacker News / 5 months ago
For Kagi users - it's also possible to redirect it in Kagi with redirect rules in search settings: ^https://x.com|https://xcancel.com ^https://instagram.com|https://imginn.com. - Source: Hacker News / 8 months ago
Competitive Analysis: Analyze what type of usernames are already popular. Tools and community discussions, including those on Twitter and Instagram, provide excellent insights into current trends. - Source: dev.to / over 1 year ago
IG (Instagram) - social media site, a lot of smaller promoters - the types that throw free parties - will be on here: https://instagram.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
Facebook - Connect with friends, family and other people you know. Share photos and videos, send messages and get updates.
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.
X (Twitter) - Connect with your friends and other fascinating people. Get in-the-moment updates on the things that interest you. And watch events unfold, in real time, from every angle.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
PixelFed - PixelFed is a federated image sharing platform, powered by the ActivityPub protocol.
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.