Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
TrendSpider
TradingView
FinViz
GoCharting
NVSTly
Trade Ideas
Atas
Token Metrics
Plotly
TrendSpiderPlotly 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 TrendSpider. 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 / 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
Corrected sentence: Every data costs money, but I believe that public data/information must be accurate and visually appealing. Among so many competitions, websites like simply.ws , fastgraph.com , and trendspider.com they must provide better info. Source: over 3 years ago
If the mobile app revamp is any suggestion of where Fidelity intends to go, Iโd like to suggest they acquire TrendSpider, the small trading platform. Source: over 3 years ago
As for alternatives, I looked a bit into this but I haven't actually used it. Definitely recommend checking out their videos for a while first (they have a youtube channel). https://trendspider.com. Source: almost 4 years ago
Pricing is between $400 - $1200 / yr depending on your use case. 7 day free trial. Usually do 50% off on black friday. https://trendspider.com/. Source: almost 4 years ago
How does it compare to something like Tradytics or Trend Spider? https://tradytics.com/ https://trendspider.com/. - Source: Hacker News / about 4 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.
TradingView - The best charting tool for crypto and stocks
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
FinViz - Stock screener for investors and traders, financial visualizations.
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.
GoCharting - GoCharting is a modern financial analytics platform offering world-class trading and charting experience.