Based on our record, Inno Setup should be more popular than Plotly. It has been mentiond 46 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’ve had to do this before and it some what sucks but if you do have a look at Inno Setup. Source: 7 months ago
Use Inno Setup. It's comparably sized, VSCode uses it and GOG.com uses customized builds of it (it's open-source but written in Delphi), and it has a much more declarative (though still extensible) approach that does do stuff like uninstall tracking by default. Source: about 1 year ago
We eventually settled on a combination of InnoSetup with InnoSetuo Dependency Installer and NetSparkle which offered a much cleaner experience and use of AzureAD Authentication for Azure Storage Blobs (for updates) as well as InTune Deployments with proper version detection. Source: about 1 year ago
You don't typically make these things yourself from scratch, you use a tool that does it for you. E.g. InnoSetup: https://jrsoftware.org/isinfo.php. Source: over 1 year ago
The two most popular such installers are Inno Setup and NSIS. Inno is much easier to use (and will handle most tasks automatically), while NSIS creates somewhat smaller installers (but requires you to basically micromanage everything). Source: over 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 / 22 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
Advanced Installer - Advanced Installer is a Windows installer authoring tool for installing, updating, and configuring your products safely, securely, and reliably.
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.
NSIS - NSIS (Nullsoft Scriptable Install System) is a professional open source system to create Windows...
Chart.js - Easy, object oriented client side graphs for designers and developers.
InstallForge - A very simplistic and streamlined program for creating installation files.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application