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Syften
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.
Based on our record, Plotly should be more popular than Syften. 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.
Another great service for mentions is https://syften.com/, also supports Twitter but is paid. - Source: Hacker News / about 2 years ago
I'm working on https://syften.com - a few of my users switched from Mention. - Source: Hacker News / over 2 years ago
You can try https://syften.com, but it's paid. - Source: Hacker News / over 2 years ago
You might find https://syften.com/ interesting. I use it for monitoring Reddit and all kinds of communities for mentions of my name and the titles of my books. - Source: Hacker News / over 2 years ago
Have you tried this one? https://syften.com/?redirect=false#pricing. Seems like it's an option for your use case. You just format the example of a problem as keyword as filter. - Source: Hacker News / about 3 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
F5Bot - F5Bot will send you an email whenever your brand, product, or keyword is mentioned online.
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.
AffiliateWP - A powerful affiliate marketing solution for WordPress.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
ReferralMagic - Turn your users and customers into referral magnets.
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.