WolframAlpha might be a bit more popular than Plotly. We know about 43 links to it since March 2021 and only 29 links to Plotly. 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.
Now, if you're doing it for real, the best and also most common method is simply, "use a computer". Many computer systems are really, really good at solving these equations and inequalities. You can also graph it and see on the graph every time it crosses zero. You can even do it for free without fancy software. There are a lot of web calculators that can do it, but one options is using wolframalpha.com. Source: 5 months ago
This is how the functionality of scientific calculators and tools like MATLAB and WolframAlpha is implemented. Source: 6 months ago
Go to wolframalpha.com, and ask it to evaluate. Source: 11 months ago
Do not go for a "one-use" calculator... Go for something that does it all if you know what you're doing. Go to wolframalpha.com. Source: 11 months ago
Some context: - Each "Card" you see is a reference to a block inside a big page called "Remarkable distributions". That page also contains more details (proofs, notable properties, ...) about each distribution. - The plots are generated using wolframalpha.com. I can just type "normal distribution" and I get a nice plot with different variations of the distribution's parameters. Source: 12 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 12 months 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
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
Photomath - Photomath is a mobile app that will give you the ability to test your equations through a simple calculator interface that will fully explain the solution in a step-by-step fashion. Read more about Photomath.
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.
SpeedCrunch - SpeedCrunch. SpeedCrunch is a high-precision scientific calculator featuring a fast, keyboard-driven user interface. It is free and open-source software, licensed under the GPL. Download Documentation Donate .
Chart.js - Easy, object oriented client side graphs for designers and developers.
Mathway - Mathway is a freemium math solving app that helps you find the solutions to any math problem you can imagine.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application