Based on our record, jq should be more popular than Plotly. It has been mentiond 155 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.
I'd you're trying to bring this to a wider audience not already familiar with q, then the name collision with the more widely known jq project is a problem: https://stedolan.github.io/jq/. - Source: Hacker News / 6 months ago
First, we need to install jq via the installer available at https://stedolan.github.io/jq/. - Source: dev.to / 7 months ago
JQ is a lightweight and powerful command-line JSON processor. It's a time-saving tool for manipulating and extracting data from JSON files effortlessly. - Source: dev.to / 9 months ago
If you have jq installed you can use it to make the output look nicer. - Source: dev.to / about 1 year ago
It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks. - Source: dev.to / about 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 / 20 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: over 1 year ago
fx - Command-line JSON processing tool
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.
jello - jello is a command line tool that filters JSON data using pure python syntax.
Chart.js - Easy, object oriented client side graphs for designers and developers.
fzf - A command-line fuzzy finder written in Go
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application