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Launching Next
StartupBase
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BetaList
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 BetaList. 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.
BetaList: Platform for launching and discovering new startups. - Source: dev.to / almost 2 years ago
BetaList - Gain early access to the future of startups. - Source: dev.to / over 2 years ago
Guys..... Just found what I had in mind. https://betalist.com/ It gives early adopters a heads up. My idea however was that you don't even need a landing page and all the site does is containing your add and an email submission form and then you'll take it from there, discord, zoom meetings or whatever works for the people that have signed up. Betalist criteria is a bit different. - Source: Hacker News / almost 3 years ago
BetaList: BetaList is a platform where product creators and user communities showcase their products and exchange feedback. However, while ProductHunt offers free launches for products without any wait time, BetaList states that it can take up to two months to get listed. There is, however, a paid option to skip the waiting queue. Source: almost 4 years ago
Betalist is good for this: https://betalist.com/ You should also spend the next 30 minutes putting together a very rough description and a mailing list link, and then post a comment with a link. Being on the front page of HN will get you hundreds to thousands of visitors, so don't waste the opportunity! - Source: Hacker News / over 5 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
Product Hunt - A website that lets users share and discover new products
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.
AlternativeTo - AlternativeTo lets you find apps and software for Windows, Mac, Linux, iPhone, iPad, Android, Android Tablets, Web Apps, Online, Windows Tablets and more by recommending alternatives to apps you already know.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
SaaSHub - Find and promote software that will help you grow your business or to be more productive.
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.