
cURL
Insomnia REST
HTTPie
Postman
Hoppscotch
FileZilla
RapidAPI for Mac
Git
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
PlotlyPlotly 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, cURL should be more popular than Plotly. It has been mentiond 128 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.
Curl is the most reliable way to inspect HTTP headers from the command line. It makes actual HTTP requests to your server or CDN and displays the raw response headers. - Source: dev.to / 3 months ago
Use open-source tools like Curl with proxy options for straightforward testing. - Source: dev.to / 5 months ago
cURL represents the foundational tool that inspired countless API clients. While not specifically designed for offline use, its versatility enables effective offline workflows through local servers and file-based operations. - Source: dev.to / 9 months ago
This Docker image is designed to support implementing Github Actions With Python. It starts with the official python docker image As the base, which is a Debian OS. It specifically uses python:3-slim to keep the image size Down for faster loading of Github Actions that use pyaction. On top of the Base, we've installed curl Gpg, git, and the GitHub CLI. We added curl and gpg because they Are needed to install the... - Source: dev.to / 11 months ago
The application calls several APIs to retrieve settings and their values from OpenAM. For simplicity, we'll use examples using the curl utility instead of programmatic API calls. - Source: dev.to / about 1 year 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 / 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
Insomnia REST - Design, debug, test, and mock APIs locally, on Git, or cloud. Build better APIs collaboratively for the most popular protocols with a devโfriendly UI, built-in automation, and an extensible plugin ecosystem.
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.
HTTPie - CLI HTTP that will make you smile. JSON support, syntax highlighting, wget-like downloads, extensions, and more.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Postman - The Collaboration Platform for API Development
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.