
BuildFire
Bizness Apps
GoodBarber
AppyPie AppMakr
Shoutem
Dropsource
Siberian CMS
Android Studio
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
BuildFire
PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Based on our record, Plotly seems to be a lot more popular than BuildFire. While we know about 34 links to Plotly, we've tracked only 3 mentions of BuildFire. 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.
BuildFire combines simplicity with powerful functionality through its extensive plugin marketplace, making it ideal for creating feature-rich apps. - Source: dev.to / about 1 year ago
Best for: Scalable and custom apps BuildFire is a flexible platform that suits businesses wanting more than basic no-code apps. - Source: dev.to / about 1 year ago
[ ] BuildFire: The Most Powerful App Maker For iOS & Android. BuildFireโs powerful and easy to use mobile app builder makes it so you can create mobile apps for iOS & Android in a fraction of the time and cost.โ. Source: over 3 years ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 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 / about 2 years ago
Bizness Apps - Create your own app or become a reseller and build apps for others
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.
GoodBarber - GoodBarber is an all-in-one, no-code platform to build native iOS, Android, and Progressive Web Apps โ with design, hosting, CMS, push notifications, and mobile e-commerce all included.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
AppyPie AppMakr - AppMakr is a browser-based platform designed to make creating your own iPhone app quick and easy.
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.