
Flippa
MicroAcquire
Sedo
StartupsAcquisitions.com
Transferslot
AcquireBase
Escrow.com
DAN.COM
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Flippa
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, Flippa should be more popular than Plotly. It has been mentiond 68 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.
Checkout https://flippa.com/ it's a ecom marketplace, you will probably be more luck than on Luxemburg reddit. Source: over 2 years ago
Anyway, I usually try and sell them on flippa.com once the idea has come to life, but if you have been there recently it costs a fortune to list a starter side and most other platforms focus a lot on established websites. Source: over 2 years ago
Many bloggers make a living from this. Since they have the experience, resources, and logistics, they can manage to build and develop dozens of blog projects at the same time only to sell them once they reach a certain level of โmaturityโ. This is whatยดs known as โsite flippingโ. One of the most popular sites flipping marketplaces is by far Flippa and Empire Flippers. Source: almost 3 years ago
Idk if I'm actually interested cause I'm so busy right now but there are sites like https://flippa.com/ where you can sell your app. Source: about 3 years ago
You can check websites like sedo.com, dan.com, wobado.com, flippa.com - they all have their pros and cons.. It's essential to evaluate what's most important for your specific needs when choosing a platform for domain flipping. Source: 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 / 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
MicroAcquire - A free & anonymous startup acquisition marketplace
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.
Sedo - Buy, sell, or park domains on the world's leading domain marketplace! Simple โ Secure โ Free of charge โ Learn more now!
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
StartupsAcquisitions.com - Discover, Buy, and Sell Website Ventures. Startups Acquisitions is your go-to 'Dead Projects' marketplace for navigating the dynamic world of buying and selling startups. We facilitate the acquisition of startups with MRR ranging from $0 to $10,000.
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.