Based on our record, Plotly should be more popular than fx. It has been mentiond 30 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.
Neat! You mentioned not getting the hang of jq, have you played with fx? Source: about 1 year ago
This looks like something I'd use often. Thanks for creating it! For anyone who's not familiar, Anton is also behind the highly useful fx[0] for wrangling JSON data in the terminal. [0] https://github.com/antonmedv/fx. - Source: Hacker News / over 1 year ago
I've been so fed up with jq's annoying syntax that I began thinking about developing something that can perform json operations in familiar syntax such as javascript but I ran into fx (https://github.com/antonmedv/fx) and it's been pretty great actually. Source: over 1 year ago
Hi I’m the author of https://github.com/antonmedv/fx (terminal JSON viewer) Recently I decided to rewrite entire program to Go. And usually on second rewrite things end-up better. Main reason for this, I believe is clear end result, the target. I think new ersion of fx is much more superior:) I recommend you, to check it out ;) Would like to have some feedback and ideas for improvement. One of new cool features... - Source: Hacker News / about 2 years ago
I really like fx (https://github.com/antonmedv/fx) for interactive stuff. It does exactly what I think you want. You can expand individual fields and explore the schema. However, I really do like jq for queries and scripting, so I keep both around. - Source: Hacker News / about 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 / 18 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
jello - jello is a command line tool that filters JSON data using pure python syntax.
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.
jq - jq is like sed for JSON data - you can use it to slice and filter and map and transform structured...
Chart.js - Easy, object oriented client side graphs for designers and developers.
Emuto - Emuto is a small language for manipulating and restructuring JSON and other data files.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application