Aurora AI
Hey Oz
Photon Research
ShadowValue
AlphAI.io
Owlytics.ai
TradingView
Make.com
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Aurora AI 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.
Aurora AI's answer
Aurora is built to help entrepreneurs and investors make data-backed, informed decisions. What makes it unique is that it is crafted by those who have built their careers conducting market research for companies like Meta, Robinhood, Unilever, and more. There are true experts behind Aurora, which means you can trust the data, and verify where it came from.
Aurora AI's answer
-Entrepreneurs that want to find the market size for their current, or prospective, business ventures.
-Investors / VCs that want to obtain accruate, data-backed market sizes for their investment opportunities.
Aurora AI's answer
Most AI startups are being built by technical experts who don't have direct experience in the industry they're trying to disrupt. Aurora is a market research tool built by expert researchers but meant to be accessible for anyone, regardless of their experience with research.
Aurora AI's answer
I have been working in market research for 13+ years, and realized that startups and smaller companies need the same types of research / insights capabilities as their biggest competitors, but often don't have the time, budget, or expertise to do it. Aurora has been built to democratize insights and ensure that everyone can obtain data-backed market research and make informed decisions to better their chances of success.
Based on our record, Plotly seems to be more popular. 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.
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 / 6 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 / almost 2 years 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 Oz - AI marketing automation for small businesses and solo founders. Generate instant marketing plans, create content, and automate posting across all platforms.
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.
Photon Research - Tell us what you need — a market to size, a competitor to analyze, a trend to track. Our AI scans 300+ sources and delivers a structured PDF report with actionable insights within hours. From $29, no subscription needed.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
ShadowValue - AI-powered investment analysis platform that evaluates stocks, detects risk, and generates clear Buy, Hold, or Sell decisions — helping investors replace emotional guessing with structured, data-driven investment intelligence.
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.