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Androidplot

Apps using Androidplot

Download a list of all 2K Androidplot customers with contacts.

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App Installs Publisher Publisher Email Publisher Social Publisher Website
100M The Weather Channel *****@weather.com - http://feedback.weather.com/
36M Pacer Health *****@mypacer.com
facebook twitter instagram
https://www.mypacer.com/
35M Mosaico Negócios de Internet S.A *****@buscape.com.br
facebook twitter instagram
http://www.buscape.com.br/celular
30M Mosaico Negócios de Internet S.A *****@buscape.com.br
facebook twitter instagram
http://www.buscape.com.br/celular
29M Happy-verse *****@gmail.com
facebook
https://fundeasy.in/contact-us/
17M Poste Italiane S.p.A. *****@poste.it
facebook
https://postepay.poste.it/
16M Fund Easy *****@fundeasy.in - http://fundeasy.in/
12M Happy-verse *****@gmail.com
facebook
https://fundeasy.in/contact-us/
11M Weather Underground *****@wunderground.com
linkedin
https://www.wunderground.com/
11M TelecomItalia *****@telecomitalia.it
linkedin twitter instagram
http://www.tim.it/

Full list contains 2K apps using Androidplot in the U.S, of which 1K are currently active and 442 have been updated over the past year, with publisher contacts included.

List updated on 21th August 2024

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Overview: What is Androidplot?

Androidplot is a powerful and versatile open-source graphing library specifically designed for Android applications. This robust SDK enables developers to create visually appealing and interactive charts, plots, and graphs within their Android apps with ease. Androidplot offers a wide range of customizable chart types, including line graphs, bar charts, scatter plots, pie charts, and more, making it an essential tool for data visualization in mobile applications. One of the key features of Androidplot is its flexibility and extensibility. Developers can easily customize the appearance of their charts, including colors, fonts, labels, and axes, to match their app's design aesthetic. The library also supports dynamic updates, allowing for real-time data representation and smooth animations. This makes Androidplot particularly useful for applications that require live data feeds or frequently updated information. Androidplot is optimized for performance, ensuring smooth rendering even with large datasets. It efficiently handles touch events, enabling users to interact with charts through zooming, panning, and selection gestures. The library also supports multi-touch interactions, enhancing the user experience and allowing for more intuitive data exploration. For developers looking to integrate advanced features, Androidplot offers support for multiple simultaneous plots, logarithmic axes, and custom renderers. These capabilities make it possible to create complex visualizations and handle specialized data representation needs. The library also provides built-in legend support, making it easy to add explanatory information to charts and graphs. Androidplot is compatible with a wide range of Android devices and versions, ensuring broad accessibility for app developers. It integrates seamlessly with other Android components and libraries, allowing for easy incorporation into existing projects. The SDK is well-documented, with comprehensive API references and code examples available to help developers get started quickly. One of the standout features of Androidplot is its support for both 2D and 3D plotting. While many graphing libraries focus solely on 2D representations, Androidplot allows developers to create immersive 3D visualizations, opening up new possibilities for data representation in Android apps. This makes it an excellent choice for scientific, engineering, or financial applications that require complex data visualization. Androidplot also offers excellent performance optimization techniques, such as hardware acceleration and efficient drawing algorithms. These features ensure that even large datasets can be rendered smoothly, without compromising the overall performance of the Android application. The library's smart redraw mechanisms minimize unnecessary redraws, further enhancing efficiency and battery life. For developers concerned about app size, Androidplot is designed to be lightweight and modular. It allows for selective inclusion of only the necessary components, helping to keep the app's footprint small. This is particularly beneficial for applications where minimizing APK size is a priority.

Androidplot Key Features

  • Androidplot is a powerful and flexible charting library specifically designed for Android applications, providing developers with tools to create visually appealing and interactive plots and graphs.
  • It offers support for a wide range of chart types, including line charts, scatter plots, bar charts, pie charts, and step charts, allowing developers to represent data in various formats suitable for different use cases.
  • The library provides extensive customization options, enabling developers to modify chart colors, styles, labels, legends, and other visual elements to match their application's design and branding requirements.
  • Androidplot features a responsive and touch-enabled interface, allowing users to interact with charts through gestures such as pinch-to-zoom, pan, and tap for data point selection.
  • It supports real-time data updates, making it ideal for applications that need to display dynamic or streaming data, such as financial market trends or sensor readings.
  • The library offers built-in animations for smooth transitions when updating chart data or changing between different chart types, enhancing the overall user experience.
  • Androidplot provides efficient memory management and optimized rendering techniques, ensuring smooth performance even when dealing with large datasets or complex visualizations.
  • It includes support for multiple axes, allowing developers to create charts with different scales or units on the same plot, which is particularly useful for comparing diverse data sets.
  • The library offers easy integration with Android's XML layout system, enabling developers to define and customize charts directly in their layout files.
  • Androidplot provides comprehensive documentation and examples, making it easier for developers to implement and customize charts in their applications.
  • It supports both portrait and landscape orientations, automatically adjusting chart layouts and scales to fit different screen sizes and aspect ratios.
  • The library includes built-in support for saving charts as images, allowing users to easily share or export visualizations from within the application.
  • Androidplot offers a modular architecture, allowing developers to extend its functionality or create custom chart types to suit specific requirements.
  • It provides robust error handling and input validation, ensuring stability and preventing crashes due to invalid data or configuration issues.
  • The library supports accessibility features, making charts more usable for individuals with visual impairments through features like content descriptions and alternative text.
  • Androidplot includes built-in support for localization, allowing developers to easily translate chart labels and other text elements into different languages.
  • It offers seamless integration with Android's Material Design guidelines, providing charts that look and feel consistent with modern Android applications.
  • The library supports data binding, allowing developers to easily connect chart components to data sources and update visualizations automatically as data changes.
  • Androidplot provides tools for adding interactive elements to charts, such as clickable legends, tooltips, and data point highlighting, enhancing user engagement and data exploration.
  • It offers built-in support for handling device rotation and configuration changes, ensuring that charts maintain their state and appearance across different device orientations.

Androidplot Use Cases

  • Androidplot is commonly used in mobile app development to create interactive and visually appealing charts and graphs for Android applications, making it an essential tool for data visualization in various industries such as finance, healthcare, and education. For example, a financial app might use Androidplot to display stock market trends, allowing users to track their investments and make informed decisions based on historical data and real-time updates. The library's flexibility enables developers to create custom charts that can be easily integrated into existing applications, enhancing the overall user experience and providing valuable insights at a glance.
  • In the healthcare sector, Androidplot can be utilized to create patient monitoring apps that display vital signs, medication schedules, and treatment progress over time. These visual representations help both healthcare professionals and patients better understand and manage medical conditions, leading to improved patient outcomes and more efficient healthcare delivery. The library's support for real-time data updates makes it particularly useful for monitoring devices that continuously collect and transmit patient information, allowing for immediate visualization of any changes or anomalies.
  • Educational applications can benefit from Androidplot by incorporating interactive learning tools that visualize complex concepts or data sets. For instance, a science education app might use the library to create dynamic graphs that illustrate physical phenomena, chemical reactions, or biological processes. This visual approach can help students better grasp abstract concepts and engage more deeply with the subject matter. Additionally, Androidplot's customization options allow educators to tailor the visual presentation to suit different learning styles and age groups, making it a versatile tool for creating engaging educational content.
  • In the field of sports and fitness, Androidplot can be employed to develop performance tracking apps that visualize athletic progress over time. Users can monitor their workout routines, track personal bests, and analyze their fitness goals through intuitive charts and graphs. The library's support for various chart types, including line graphs, bar charts, and scatter plots, enables developers to create comprehensive fitness dashboards that provide users with a holistic view of their athletic journey. This visual feedback can serve as a powerful motivator for users to maintain their fitness routines and achieve their goals.
  • For business intelligence and analytics applications, Androidplot offers a robust solution for creating mobile-friendly data visualization tools. Companies can develop custom apps that present key performance indicators, sales trends, and other critical business metrics in an easily digestible format. The library's ability to handle large datasets and perform smooth animations makes it ideal for creating interactive dashboards that allow users to explore complex business data on their mobile devices. This mobile-first approach to data visualization can empower decision-makers to access and analyze important information on-the-go, leading to more agile and informed business strategies.
  • Environmental monitoring and research applications can leverage Androidplot to visualize data collected from various sensors and devices. For example, a climate change research app might use the library to create charts that display temperature trends, greenhouse gas emissions, or sea level changes over time. The ability to overlay multiple data sets on a single chart allows researchers to identify correlations and patterns that might not be immediately apparent in raw data. Androidplot's support for custom rendering and styling also enables developers to create visually striking presentations that can effectively communicate complex environmental data to both scientific and general audiences.

Alternatives to Androidplot

  • MPAndroidChart is a powerful and feature-rich charting library for Android applications that offers a wide range of chart types including line, bar, pie, scatter, candlestick, and bubble charts. It provides smooth animations, touch gestures, and zooming capabilities, making it a popular choice among developers for creating interactive and visually appealing data visualizations.
  • AnyChart Android Charts is a comprehensive charting solution that supports various chart types and data visualization formats. It offers a flexible API and extensive documentation, making it easy for developers to integrate and customize charts in their Android apps. AnyChart also provides cross-platform compatibility, allowing developers to use the same code base for web and mobile applications.
  • GraphView is a lightweight and easy-to-use graph plotting library for Android that supports line graphs, bar graphs, and point graphs. It offers features such as zooming, scrolling, and custom styling options, making it suitable for simple to moderately complex charting needs. GraphView is particularly popular among developers who require a straightforward solution for basic data visualization tasks.
  • HelloCharts for Android is an open-source charting library that provides a variety of chart types, including line, column, pie, bubble, and combo charts. It offers smooth animations, interactive features, and customizable styling options. HelloCharts is known for its simplicity and ease of use, making it a good choice for developers who want to quickly implement charts in their Android applications.
  • PhilJay's MPAndroidChart is a highly customizable and feature-rich charting library for Android that supports various chart types, including line, bar, pie, scatter, bubble, and radar charts. It offers real-time updates, animations, and gesture support, making it suitable for creating dynamic and interactive data visualizations. MPAndroidChart also provides extensive documentation and examples, making it easier for developers to implement complex charting scenarios.
  • WilliamChart is a simple yet powerful charting library for Android that focuses on providing a clean and minimalist design. It supports line charts, bar charts, and stacked bar charts, with options for customizing colors, labels, and animations. WilliamChart is particularly suitable for developers who prefer a more streamlined and visually appealing approach to data visualization.
  • AAChartCore-Kotlin is a charting library for Android written in Kotlin that offers a wide range of chart types and customization options. It provides a simple and intuitive API, making it easy for developers to create interactive and visually appealing charts. AAChartCore-Kotlin supports various chart styles, including line, column, area, pie, and scatter charts, and offers features such as zooming, tooltips, and animations.
  • EazeGraph is a lightweight charting library for Android that focuses on simplicity and ease of use. It supports basic chart types such as bar charts, pie charts, and line charts, with options for customizing colors and labels. EazeGraph is suitable for developers who need a straightforward solution for implementing simple charts in their Android applications without the complexity of more feature-rich libraries.
  • AndroidCharts is a simple and lightweight charting library for Android that provides basic chart types such as line charts, bar charts, and pie charts. It offers a minimalist design and easy-to-use API, making it suitable for developers who require simple data visualization solutions. AndroidCharts is particularly useful for projects with limited resources or those that prioritize a small app size.
  • AFreeChart is an open-source charting library for Android that is based on the popular JFreeChart library for Java. It supports various chart types, including line, bar, pie, and XY plots, and offers customization options for colors, fonts, and labels. AFreeChart is suitable for developers who are familiar with JFreeChart and want to leverage similar functionality in their Android applications.

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