With Bold BI, you can connect to your data, transform it to your needs, create a dashboard with related KPIs, and share it with your users for collaboration. Bold BI comes with various deployment options along with the embedding benefit of a seamless website integration experience through our Embedded SDK APIs.
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We are proud to serve a wide variety of customers, from individual developers to Fortune 500 companies, with an ecosystem of compatible developer control suites, embeddable BI platforms, and business software. No matter your needs or your budget, we have the tools to help your teams succeed.
Bold BI's answer
After nearly two decades of polishing one of the most impressive collections of UI controls on the market, Syncfusion has channeled its data visualization expertise into Bold BI, a simplified yet comprehensive solution for building and delivering business dashboards.
With Bold BI’s drag-and-drop interface, you don’t need to have a technical background to create beautiful dashboards. The flexibility of Bold BI lets you either build and deliver dashboards without installing any software or create and manage dashboards from your own servers.
After you sign up for a free trial, our onboarding team will help you get started setting up dashboards. We’re always happy to help with any questions you have, but with Bold BI’s user-friendly designer, creating powerful business intelligence dashboards has never been easier.
Based on our record, Plotly seems to be more popular. 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.
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
232key - Transforms data received via RS-232 into keystrokes. Make your serial device talk to any program!
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.
Klipfolio - Klipfolio is an online dashboard platform for building powerful real-time business dashboards for your team or your clients.
Chart.js - Easy, object oriented client side graphs for designers and developers.
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.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application