WEBCode.run
Judge0 IDE
Colab Notebooks
Observable
Nyxt Browser
Notebook.ai
k3s
Notebook for Web
Plotly
D3.js
Chart.js
Highcharts
Google Charts
RAWGraphs
Tableau
Microsoft Power BI
WEBCode.run PlotlyNo WEBCode.run videos yet. You could help us improve this page by suggesting one.
Based on our record, Plotly should be more popular than WEBCode.run. 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.
Oh this would be such a good fit for my dream of serving federated backend code from web readable hosting https://webcode.run/. - Source: Hacker News / 10 months ago
This would be so amazing. In order to access most vanilla services like redis, postgres etc. You need to deploy a bridge https://github.com/zquestz/ws-tcp-proxy -- somewhat abandoned at this point but it is still running), and a big problem with the approach was the web's inability to make TCP connections. - Source: Hacker News / over 1 year ago
Yeah, you are right. I made https://webcode.run also for this reason (also hot code reload and debugging but for JavaScript computational notebooks). - Source: Hacker News / almost 2 years ago
This was why I created https://webcode.run the elimination of all tooling and a fast development loop even for backend. - Source: Hacker News / almost 2 years ago
I am building a compute layer for Observablehq which enables services to brought up using nothing other than a web browser. It's a bit too soon to call it a K8s replacement but the motivation was the complexity and laggyness of bringing up services on cloud or k8s. The WEB + on demand infrastructure is the distributed replacement of K8S https://webcode.run/ WEBCode is about eliminating environments and the... - Source: Hacker News / over 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 / 4 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 6 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: about 1 year ago
Judge0 IDE - Free and open-source online code editor.
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.
Colab Notebooks - Browse notebooks from Google Colaboratory
Chart.js - Easy, object oriented client side graphs for designers and developers.
Observable - Interactive code examples/posts
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
