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Plotly
finbox.ioPlotly 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.
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Based on our record, Plotly should be more popular than finbox.io. 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
The way to value stocks is by running a DCF analysis. There's software that can do that for you, for example at: finbox.com. In a DCF analysis you have to come up with some estimates with regards to future revenue, capex, depreciation, EBITDA margins, and other things like that. Then, based on these estimates and your desired rate of return, the DCF model should tell you how much the company is worth today. Source: almost 4 years ago
The bond market is twice the size of the equity market, but it's more opaque. I'm looking for some kind of dashboard, like Wallmine, Finbox, Trading Economics, or Messari, for real-time capital flows through Treasurys, bonds, credit markets, and the like. Any good resources out there? Also, anything good on private markets as well (VC, PE, etc.)? Source: over 4 years ago
I know finbox.com got this $10k grant but never did YC itself. Source: over 4 years ago
How good is finbox.com? The models you can choose from are already filled up. Is that data I can rely on? Source: over 5 years ago
I made this data visualisation in Adobe After Effects. I download the stock information from Finbox (https://finbox.com) and created json file with it. I linked this data file to the animation using Javascript. Source: 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.
Simply Wall Street - Easy stock and portfolio analysis
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.
Google Finance - Google Finance is a website focusing on business news and financial information hosted by Google.