KMPShip
KAppMaker
ShipFlutter
ExpoShip
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
KMPShip is a production-ready Kotlin/Compose Multiplatform boilerplate designed to save you hours of setup. It includes everything you need to build feature-rich mobile apps from a shared codebase, including authentication, payments, offline storage, notifications, and more. Skip the repetitive setup and get straight to building your app. With built-in support for payments, KMPShip also helps you monetize faster.
KMPShip PlotlyNo features have been listed yet.
Plotly 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.
KMPShip's answer
Kotlin Multiplatform, Compose Multiplatform, Firebase, RevenueCat, Ktor, Koin, Room, and GitHub Actions for CI/CD.
KMPShip's answer
Indie developers, small teams, and mobile engineers who want to build Android and iOS apps quickly using Kotlin Multiplatform.
KMPShip's answer
KMPShip gives you more than just boilerplate. It’s a complete, launch-ready foundation. It includes a paywall that converts, a polished onboarding flow, and a growing set of reusable UI components. You get a built-in design system, a clean architecture used in real-world apps, and everything already wired up: authentication, payments, notifications, local storage, and CI/CD. With KMPShip, you can focus on building your features instead of setting things up.
KMPShip's answer
KMPShip combines the flexibility of Kotlin Multiplatform with the structure of a real production app. It’s not just a code starter, but a full setup with clean architecture, ready-to-use UI components, a working paywall, and an onboarding flow that fits real-world use cases. KMPShip helps you go from idea to income by giving you the tools to build, ship, and monetize your app faster.
KMPShip's answer
I've been building mobile apps for the past 15 years, across startups, agencies, and larger teams.
No matter the company or the project, I always found myself doing the same thing over and over: configuring dependencies, setting up auth, building UI foundations…
After doing this more times than I can count, I finally decided to stop reinventing the wheel. That's why I created KMPShip:
KMPShip is here to save you time and help you launch what matters.
Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.
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 / 6 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 / almost 2 years 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
KAppMaker - Develop iOS and Android apps with Kotlin Multiplatform boilerplate. Pre-configured features include authentication, in-app purchases, notification, showing ads, in-app review, logging, CI/CD, navigation and more.
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.
ShipFlutter - Ship Everywhere with Flutter. Fast! You starter-kit to launch Android, iOS and Web apps with Flutter
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
ExpoShip - Ship your app in days, not weeks. The React Native boilerplate with all you need to build your app and make your first money online fast.
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.
