bipp is a modern business intelligence platform that lets you explore billions of records in real-time based on trusted data models. Our enterprise-grade, in-database, cloud BI platform was developed to save data and BI analysts’ time and develop insights faster. It leverages SQL and is powered by the bippLang data modeling language, which supports collaboration, git-based version control, and re-usable data models.
Business users can use bipp to build and explore ad hoc reports on their own. They can slice and dice data and create visualizations, with updates reflected in real-time. Insights can then be easily shared across their organizations.
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Based on our record, Plotly should be more popular than bipp Analytics. It has been mentiond 29 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.
You can take any DBMS and use its SQL docs, I recommend PostgreSQL SQL docs which [i guess] is the 9th chapter of PostgreSQL docs. You can also do a SQL course at bipp.io. Source: over 2 years ago
You can try this type of chart - https://bipp.io/img/home/Designed-for-SQL-Analysts-from-the-ground-up.png (see also the description of a free BI tool where it was implemented - https://bipp.io ). Source: about 3 years ago
To build such a dashboard, you can also use Bipp Analytics as a more affordable Looker alternative - the entire platform and its bippLang data modeling language are very similar to Looker and LookML - here is how such a dashboard looks like in it: https://bipp.io/img/home/Designed-for-SQL-Analysts-from-the-ground-up.png. Source: about 3 years ago
We at bipp.io have been internally debating about open sourcing our platform for quite a while. Source: about 3 years 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: 11 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: 12 months 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
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
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.
Marple - Data analysis platform for engineering teams. Organise, find and visualise test and measurement data
Chart.js - Easy, object oriented client side graphs for designers and developers.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application