
Bitsgap
3commas
Cryptohopper
Coinrule
Pionex
TradeSanta
HaasOnline
Trality
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Plotly 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.
The system itself works good... but, they stopped the reward program for my account without any reason...
Based on our record, Plotly seems to be a lot more popular than Bitsgap. While we know about 34 links to Plotly, we've tracked only 2 mentions of Bitsgap. 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.
Bitsgap – bots + cross-exchange management. - Source: dev.to / 11 months ago
I was trading using grid bots from bitsgap.com , which I highly recommend. (Use my affiliate link to be upgraded to the PRO plan during 14 days of a free trial.). Source: over 5 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 / 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
3commas - 3commas.io provides tools for cryptocurrency traders and investors.
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.
Cryptohopper - Cryptohopper is the best crypto trading bot currently available, 24/7 trading automatically in the cloud. Easy to use, powerful and extremely safe. Trade your cryptocurrency now with Cryptohopper, the automated crypto trading bot.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Coinrule - Coinrule empowers traders to compete with professional algorithmic traders and hedge funds.
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.