Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Blockpit
Koinly
Coinpanda
TokenTax
CoinTracker
ZenLedger
CoinLedger
Accointing
Plotly
BlockpitPlotly 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.
Blockpit is recommended for cryptocurrency investors and traders who need a streamlined solution for managing their tax obligations. It's particularly useful for those who engage in frequent trading or use multiple exchanges and wallets, as well as accountants who manage crypto portfolios for clients.
Based on our record, Plotly should be more popular than Blockpit. 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 / 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
I am part of the Blockpit team - a crypto tax software startup based in Austria (https://blockpit.io/). We are dedicated to enhancing our product based on valuable feedback from savvy crypto users, especially from the UK. Source: about 3 years ago
Some options are https://blockpit.io and lilaโs ledger https://dfkreport.cognifact.com/. Source: over 3 years ago
Maybe if you don't know it already give it a try :) blockpit. Source: about 4 years ago
Every Bitpanda user can now use blockpit.io free of charge for all bitpanda transactions. Doing your taxes just got cheaper and easier :). Source: about 4 years ago
If you are staking and depending on which chain, blockpit.io works better for me. Source: over 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.
Koinly - Koinly is the easiest way to monitor your crypto activity & file your taxes.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Coinpanda - Calculate & file tax reports for Bitcoin and cryptocurrencies. Made for traders and investors.
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.
TokenTax - Crypto taxes made easy. TurboTax for cryptocurrency.