Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
CoinGecko
CoinMarketCap
Coinbase
CryptoCompare
CoinStats
Blockfolio
TradingView
Bitcoin Wallet
Plotly CoinGeckoPlotly 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.
CoinGecko might be a bit more popular than Plotly. We know about 46 links to it since March 2021 and only 34 links to Plotly. 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 / 4 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 classic strategy: buy the same dollar amount every week, no matter the price. This is what exchanges like Coinbase Recurring Buy and Kraken Dollar-Cost Averaging implement. It's the lowest-skill, lowest-variance approach โ and across 5+ year holding periods it's beaten timed buys by roughly 3-8% annualized on BTC according to historical data. - Source: dev.to / 3 months ago
You can check by googling the URL, I wouldn't recommend a tool If it's an airdrop website or something like that, hard to tell. You'll find the websites of different networks on coinmarketcap.com or coingecko.com ;). Source: almost 3 years ago
For lending check out AAVE, for L2 projects Arbitrum is best in this field, Fluid AI is your go-to for liquidity aggregator, better still you can make use of coingecko.com to dyor. Source: about 3 years ago
Coingecko.com still only has it at 45% because of stable coins. Source: about 3 years ago
There are many perks to the extended and default lists, including: token data tracked in SaucerSwap analytics and API, eligibility for listing on CoinGecko and CoinMarketCap, and opportunity for a yield farm. Here is what comes with the extended list:. Source: about 3 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.
CoinMarketCap - Crypto-currency market capitalizations.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Coinbase - Bitcoin, safe and easy.
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.
CryptoCompare - We bring you all the latest streaming pricing data in the world of cryptocurrencies.