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Based on our record, Plotly seems to be a lot more popular than Alasql. While we know about 29 links to Plotly, we've tracked only 2 mentions of Alasql. 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.
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
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
Sql.js is pretty hard to use as is otherwise you run out of memory really quickly. I was trying to use it as the in-memory SQL flavor for an open source data ide [0] but my naive approach of `SELECT * FROM VALUES (...), ...` would run out of memory after only a few hundred rows. I ended up switching to https://github.com/agershun/alasql which could handle up to 80MB of data or so. I don't think this is a... - Source: Hacker News / almost 3 years ago
For similar results, you can use SQL with IndexedDB running fully client-side: https://github.com/agershun/alasql. - Source: Hacker News / about 3 years ago
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.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Chart.js - Easy, object oriented client side graphs for designers and developers.
PouchDB - Open-source JavaScript database inspired by Apache CouchDB that's designed to run well within the browser
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
IndexedDB - IndexedDB is a low-level API for client-side storage of significant amounts of structured data, including files/blobs.