jello
fx
jq
Emuto
Apache Kylin
X-plore
Solid Explorer
File Commander
Plotly
D3.js
Chart.js
Highcharts
Google Charts
RAWGraphs
Tableau
Microsoft Power BI
jello PlotlyBased on our record, Plotly should be more popular than jello. 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.
Jello let’s you use python syntax with dot notation without the stdin/stdout/json.loads boilerplate. https://github.com/kellyjonbrazil/jello. - Source: Hacker News / 10 months ago
A couple more alternatives: https://github.com/kellyjonbrazil/jello. - Source: Hacker News / 10 months ago
Yep, you can create a filter in jq to do that. Alternatively, if you prefer Python syntax you could try jello, which works like jq but is really Python under the hood. (I am also the author of jello). Source: over 1 year ago
Hi there - I'm the author of `jc`. I also created `jello`[0], which works just like `jq` but uses python syntax. I find `jq` is great for many things but sometimes more complex operations are easier for me to grok in python. [0] https://github.com/kellyjonbrazil/jello. - Source: Hacker News / over 1 year ago
I'm no expert in any of these tools, but here are some yamlpath and jello examples to match:. Source: 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 / 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.
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