
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Startup-Name
CunningBot
Name Lantern
BrandHunt V2
Lean Domain Search
Xpired
DotCom Bot
namevine
Plotly
Startup-NamePlotly 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.
No Startup-Name videos yet. You could help us improve this page by suggesting one.
Based on our record, Plotly seems to be a lot more popular than Startup-Name. While we know about 34 links to Plotly, we've tracked only 2 mentions of Startup-Name. 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.
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
Hey, thanks. It's so unusual for me to promote anything I'm forgetting the main part. I can't edit the post anymore, so I tried to post a new one...with the link. Link is https://startup-name.com ! - Source: Hacker News / over 5 years ago
When starting a new project, I'm always looking for the same pattern for domain names. So I built a tool to ease the search because the existing tools recommendations always felt bad to me. I manually curated 100+ trending name modifiers for SAAS names and classified the TLDs and that's it ; no AI, no bullshit. Website: https://startup-name.com Disclaimer: links to Namecheap are affiliate. - Source: Hacker News / over 5 years ago
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.
CunningBot - Find best domain names
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Name Lantern - Name Lantern is a tool that helps you generate and find available domains for your startup or project by suggesting available domain names based on a search keyword.
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.
BrandHunt V2 - Search/track domain & social media handles in real time.