Flutter is overtaking React Native in 2021
Mobile App Development

Top 7 Reasons Why Flutter is Overtaking React Native

Naveen Khanna

Last updated on December 22nd, 2023 at 07:28 am

Nowadays cross-platform solutions are getting popular across the world, making software development tasks for multiple screen sizes and various operating systems simple thing. There are plenty of cross-platform; Flutter and React Native are the top leading players in the market. However, Flutter is relatively new and now overtaking React Native platform along with other technologies such as NativeScript, Xamarin, etc.

Flutter is written in Dart language, it allows development tasks of both client and server-side. Dart is introduced by Google and is an open-source language. Flutter is just not a framework; it is a complete SDK for developing applications.

Cross-platform development allows developers to build applications for multiple platforms or operating systems. Developers just need to create software solutions once and can run them on different platforms.

As per the Google Trends search results, the Flutter App Development is the most searched keyword in 2021, comparing React Native on Google search results.

Flutter is gaining great success and is used by many top brands that provide awesome features for mobile app developers from saving your time and money to simplifying the development task, it does everything all alone. These apps help businesses grow fast, generating great revenue. In this article, we will share the benefits of using Flutter and how it is overtaking React Native.

IT Solutions

Lets’ discuss the top seven factors which made Flutter overtake the React Native

1. Comprehensive Solution

Flutter is not just a framework; it provides a comprehensive solution to meet all your needs. It is an advanced app software development kit that includes almost all the features, functions, and tools to make your development task simple and fast at the same time. These many widgets help developers create visually beautiful, eye-catching native look apps for multiple platforms and environments.

Since it is a cross-platform solution, it allows app developers to reuse the same code of specific functionalities and services for multiple devices and environments avoiding the need to write separate codes. Flutter application development services make it certain to provide you with faster and reliable software solutions.

2. Code Maintainability

Building a brilliant app is just not enough to be successful. It must be updated and upgraded constantly and debugging is essential. However, perhaps you are already aware that maintaining codes with React Native App Development is quite a task as compared to Flutter.

When you make some changes in React Native-based app, it interferes with its logic consequently making the development process very slow. Another challenge in React Native apps is their dependency on third-party libraries. Therefore, maintaining those outdated libraries becomes a daunting task.

On the other hand, Flutter is popular for the simplicity of the code, and maintaining codes is very easy with it. Moreover, it does not take much time to release updates and allows doing some required instant changes.

3. Powerful Performance  

Another important benefit of Flutter is its performance. Flutter wins the race when compare it to React Native on performance.

Flutter includes ARM or x86 native libraries that helps make it significantly faster and high-performer. Flutter offers quick development to develop powerful apps at the least possible time. Some features of it allow giving responses in real-time and bugs and issues can be fixed in real-time without taking an app off the server, thus enhancing an app’s overall productivity.

Read Also: Why Flutter is Best Choice for Developing a Startup App

4. Better UI Customization

Flutter has its own bundle of UI tools, components, and widgets, and React Native includes just a basic set of widgets. This is why Flutter provides better UI customization. Flutter is popular for its attractive UI native-like widgets; you just need to hire the right talent to make use of the widgets as per the project needs perfectly.

Flutter includes an advanced set of libraries, tools, group of widgets that allow users to create an impressive, expressive, and flexible user interface. Moreover, it has the ability to design a native look app with a variety of customization at affordable rates. It can also develop apps with computational functionality and tasks, React Native does not provide such functionality.

5. Faster Time to Market

Unlike traditional platforms like React Native, Flutter does not have complex codes. It is a simple framework that allows fast development. Flutter is written in Dart Language which is a simple to learn programming language.

Using its simple syntax and flawless coding modules, developers do not take much time. Flutter is a cross-platform solution that can help you design a budget-friendly, responsive app with advanced functionalities. Faster development and great functionality is its big advantage.

6. Programming Language

Flutter is written in Dart and React Native is written in JavaScript. Dart is relatively a new language it was introduced in 2011. Dart is significantly faster and much simple than the JavaScript programming language. JavaScript is an old language and much popular among developers.

This makes it easy to hire React Native App Developers as most of the developers have knowledge of JavaScript language. Though Dart is a new language its simplicity allows faster and advance development.

7. Global Community Support

Community support is an important aspect when it comes to developing enterprise applications. Both the frameworks React Native and Flutter gradually increasing the community. React Natives’ community has been at a growing stage and Flutter is speedily taking over the market.

Flutter has a huge app community in the market through which millions of developers are connected with one another, providing the required support to their fellow developers and making Flutter the leader of cross-platform development going forward.

Conclusion

Undoubtedly, the mobile app is one of the fastest-growing markets in the world. Today, many brands turning their app idea into a reality using advanced technologies. Flutter is becoming the most preferred app development framework. Its advanced, cutting-edge features making it the first preference over other frameworks available in the market. Flutter has the capability to design an advanced app at affordable rates, ensuring great growth and good return on their investments.

Flutter is increasingly growing powerful and becoming the first preference for cross-platform software solution development. Flutter in 2021 emerged as the leading cross-platform app development framework, overtaking React Native.

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Education is changing rapidly in the digital age, thanks to the advancements in Artificial Intelligence (AI). AI is making eLearning more personalized and adaptive, which means students can learn at their own pace and in ways that work best for them. This is a big shift from traditional classrooms where everyone has to learn the same way. However, AI is also making education more accessible to people around the world. By using machine learning, natural language processing, and data analytics, eLearning apps are changing how we learn and making it easier for people to access education. Today, we'll look at how AI is changing eLearning and the exciting new opportunities it's creating. Benefits Of Using AI In eLearning Artificial Intelligence (AI) is changing the way we learn online by introducing innovative features that improve learning experiences and results. AI technologies such as ML, NLP, and data analytics can help eLearning platforms provide custom, dynamic, and engaging learning experiences. So, here are some of the main advantages of using AI in eLearning, organized into relevant sections: 1. Personalized Learning Modern eLearning platforms use AI technology to create personalized learning experiences that cater to the strengths, weaknesses, and preferences of individual learners. The AI algorithms analyze user data to identify areas that need improvement and suggest personalized learning paths that are tailored to each student's needs. By providing a customized learning experience, eLearning platforms can increase student engagement. Moreover, it can help them retain knowledge better, and master the subject matter more effectively. 2. Adaptive Learning Artificial intelligence (AI) has made eLearning more effective by introducing adaptive learning. It means that AI algorithms continuously evaluate your progress and adjust the difficulty level and pace of learning activities accordingly. This way, you are always challenged at the right level, which makes learning more efficient and engaging. Adaptive learning also helps to reduce boredom and frustration. However, these are common challenges faced by learners who use static learning materials. 3. Intelligent Content Recommendations AI-powered recommendation systems are computer programs that help people learn. They work by studying how a person learns and what they are interested in and then suggest things like articles, videos, or other courses that might be helpful. Moreover, this makes learning more fun and interesting and helps people understand things better. The AI system creates a personalized learning experience that motivates learners to explore and learn more. 4. Automated Assessment and Feedback AI can help teachers grade student work, create quizzes, and check for plagiarism automatically. This means that teachers can save time, and students can get immediate feedback. With AI, students can quickly learn where they need to improve and adjust their study habits accordingly. Thus, helping to make grading more efficient and fair when there are many students in a class. 5. Natural Language Processing (NLP) for Language Learning NLP technologies are being used in eLearning platforms to help people learn languages better. With the help of virtual tutors and chatbots, these platforms can interact with learners in a way that feels like having a conversation. NLP algorithms can analyze how learners respond and give feedback that makes sense in the context of what they're learning. These language learning tools are designed to simulate real-world communication scenarios. However, this makes the learning experience more immersive and interactive. 6. Predictive Analytics for Performance Monitoring Predictive analytics powered by AI can help educators identify students who may need extra academic support. This is done by analyzing past data such as how much they engage with coursework, how often they complete assignments, and how they perform on tests. By identifying potential issues early on, teachers can take proactive measures to address the gaps in students' learning and help improve their overall academic performance. 7. Enhancing Accessibility AI has a significant impact on making online learning more accessible and inclusive for everyone. With AI-powered features like speech recognition, text-to-speech conversion, and image recognition, learners with disabilities can now engage in eLearning without any barriers. By removing these hurdles, AI helps create a more welcoming learning environment where all learners can succeed. How to Incorporate AI in Online Classes? Incorporating AI into online classes can make learning more personalized and interactive for students while helping teachers manage their workload more efficiently. Here's how AI can enhance online learning: 1. Custom Learning Paths AI can analyze how each student learns best and suggest personalized lessons and activities that match their needs and pace. 2. Smart Learning Platforms Platforms powered by AI can adjust the difficulty of lessons based on how students are doing, providing extra help where needed and keeping everyone challenged. 3. Instant Feedback AI can quickly grade assignments and quizzes, giving students feedback right away so they can see what they're doing well and where they need to improve. 4. Virtual Helpers AI assistants can answer questions, provide explanations, and offer support to students whenever they need it, helping to lighten the load for teachers. 5. Language Learning Support AI tools can help students practice languages by recognizing speech, analyzing text, and engaging in conversations to improve their skills. 6. Insights from Data By analyzing student data, AI can help teachers spot trends, predict outcomes, and make decisions to better support their students' learning. 7. Accessibility Features AI can make online classes more accessible for students with disabilities by providing features like text-to-speech and image recognition. 8. Immersive Experiences Using AI-driven virtual reality and augmented reality, students can explore interactive simulations and hands-on experiences to deepen their understanding of subjects. Challenges in Using AI with Education Applications As exciting as it sounds to bring Artificial Intelligence (AI) into classrooms, there are some hurdles we need to clear first. These challenges touch on various aspects, each crucial for making AI work effectively in education. Data Privacy and Security Concerns One big concern is keeping student data safe and private. When we use AI to analyze how students learn, we gather a lot of information about them. It's essential to make sure this data is protected from unauthorized access or misuse. Bias and Fairness Another challenge is making sure AI treats everyone fairly. Sometimes, AI systems can unintentionally reflect biases that exist in society. For example, they might give certain students more help than others based on their background. We need to work hard to make sure AI in education is fair for everyone. Lack of Access and Equity Not all students have the same access to technology and the internet. If some students can't use AI tools because they don't have the right devices or internet connections, it creates a gap in learning opportunities. Making sure all students can benefit from AI in education is essential for fairness. Ethical Considerations Using AI in education means dealing with ethical questions. For example, we need to ask whether it's okay to collect data on students to improve AI systems. We also need to be transparent about how AI makes decisions, so students and teachers understand why things happen the way they do. Integration with Traditional Pedagogy Teachers play a crucial role in education, and AI should support them, not replace them. However, sometimes, teachers might not know how to use AI tools effectively. Finding ways to help teachers use AI in ways that complement their teaching style is essential. Evaluation and Validation We need to make sure AI helps students learn better. This means testing AI tools to see if they work well and if they're fair to everyone. It's also important to keep improving AI systems based on what we learn from using them. Cost and Resource Constraints Implementing AI in education can be expensive. Schools need to buy the right technology and train teachers to use it. But not all schools have enough money or resources for this. Finding ways to make AI affordable and accessible for everyone is crucial. Applications of AI in eLearning Apps – A Brief Artificial Intelligence is reshaping the landscape of eLearning, offering a plethora of innovative applications that enhance learning experiences for students and streamline teaching processes for educators. Here's a brief overview of some key applications of AI in eLearning apps: Emotional Intelligence Monitoring AI can help eLearning apps understand how students feel while learning. It can pick up on facial expressions, voice tone, and how students write to figure out if they're happy, frustrated, or confused. If a student seems upset or lost, the app can adjust the lesson to help them feel better and understand better. So, this makes learning more comfortable and more supportive. Gamification and Personalized Challenges AI can make that happen by creating personalized challenges and rewards based on what each student likes and how they're doing. So, if a student loves math, the app might create fun math puzzles just for them. This makes learning fun and motivates students to keep going. Collaborative Learning Facilitation Sometimes, learning is more fun when you do it with friends. AI can help students work together on projects or share ideas. For example, if students are working on a group project, the app can help them communicate and work together better. Moreover, this makes learning more social and teaches students how to work as a team. Cognitive Skills Development Cognitive skills are things like problem-solving and creativity that help us learn new things. AI can create activities and challenges that help students develop these skills. For example, it might give students puzzles or tasks that make them think and come up with solutions. So, this makes learning more exciting and helps students become better problem-solvers. Adaptive Feedback Generation Feedback is like advice that helps students learn better. AI can give students feedback that's just right for them. For example, if a student makes a mistake on a quiz, the app can explain what went wrong and how to fix it. However, it makes learning more personalized and helps students improve faster. Predictive Learning Analytics AI can predict what might happen in the future based on how students are learning now. For example, if a student is struggling with a subject, the app can tell if they might need extra help soon. This helps teachers give students the support they need before they fall behind. Multimodal Learning Experiences Learning is more fun when it includes different things like videos, pictures, and interactive activities. AI can create lessons that use all these things to help students learn better. For example, instead of just reading a boring textbook, students might watch a video, listen to a story, or play a game. Thus, this makes learning more engaging and helps students remember things better. Dynamic Curriculum Personalization Imagine if each student had a personalized learning plan! AI can make that happen by changing lessons based on what each student needs. For example, if a student is good at math, the app might give them harder problems to solve. If they're struggling with reading, it might give them extra help. This makes learning more tailored to each student's abilities and helps them learn at their own pace. Lifelong Learning and Skill Development Learning doesn't stop when you finish school - it's something you do your whole life! AI can help you keep learning new things even after you're done with school. For example, it might suggest courses or activities based on what you're interested in or what job skills you need. This makes learning more accessible and helps you grow and succeed in your career and personal life. Future Prospects of AI in e-Learning Apps Increased Learning Outcomes In the future, AI in e-learning apps could make learning more effective than ever. Imagine if your learning experience was tailored just for you – that's what AI can do. By understanding how you learn best and what you need help with, AI can create lessons that fit you perfectly. This means you'll understand things better and learn faster. Plus, if you get stuck, AI can give you personalized help and feedback to get back on track. As AI technology gets better, so will your learning outcomes. Better Learning Experience AI is also set to make learning more exciting and fun. Instead of just reading textbooks or watching videos, imagine if you could talk to a virtual tutor or explore a virtual world to learn. With AI, e-learning apps can create immersive experiences that feel like playing a game. These apps can also recommend activities and materials based on what you like and how you learn best. This means you'll enjoy learning more and remember things better because it's more engaging. Enhanced Accessibility AI has the power to make learning accessible to everyone. For example, if you speak a different language, AI can translate lessons for you. If you have trouble reading or seeing, AI can read aloud or describe images to you. By using AI to break down barriers, e-learning apps can ensure that everyone, regardless of their background or abilities, can learn and succeed. So, no matter who you are or how you learn, AI in e-learning apps will help you reach your full potential. Final Words In summary, the future of online learning is incredibly exciting, thanks to Artificial Intelligence (AI). As AI technology gets better, online learning apps are set to become even more personalized, engaging, and accessible. With features like customized lessons, interactive experiences, and support for all kinds of learners, AI will make learning easier and more enjoyable for everyone. So, whether you're a student or a lifelong learner, get ready for an exciting journey ahead with AI-powered online learning apps. FAQs How does AI enhance the learning experience in E-learning apps? AI helps in analyzing user data to make personalize content. It provides easy learning paths, automated tasks for educators, offers intelligent tutoring systems, and facilitates interactive simulations and VR experiences. What are some examples of AI applications in E-learning apps? Artificial intelligence (AI) helps improve online learning or e-learning in many ways. Examples include programs that suggest the best content for studying and grading systems that give you feedback on your work. It also involves virtual assistants that can answer your questions, and tools that help teachers identify weak students. Some courses also use exciting technologies like virtual reality and augmented reality to make learning more immersive and engaging. How does AI personalize learning content in E-learning apps? AI technology can help make learning more personalized by analyzing various information about a learner such as their learning style, past performance, and behavior patterns. Using this data, the AI system can create a customized curriculum, learning materials, and assessments. These are would be customized to meet the individual learner's needs and preferences. This way, the learner can have a more efficient and effective learning experience. Can AI help in assessing learners' progress and performance? Artificial intelligence can help teachers understand how well students are doing in their learning journey. It does this by tracking how students use the learning platform, analyzing their quiz and assignment results, and providing feedback. This information helps teachers identify areas where students are struggling, so they can help them improve and succeed. Is AI capable to provide real-time collaboration and interaction? AI can help people work together more easily and quickly by providing tools. These tools allow them to chat instantly with helpful bots, edit documents together from different locations, attend virtual classes with video calls, and participate in discussion forums that can even tell how everyone is feeling. How does AI contribute to the scalability and efficiency of E-learning apps? Artificial intelligence (AI) automates repetitive tasks that educators have to do, such as grading, making content, and doing administrative work. This helps teachers to save time and focus more on personalized teaching and mentoring. AI can also help educators understand how to teach better and how to use resources effectively. This can lead to better learning outcomes for students. Are there any ethical considerations in the use of AI in E-learning apps? When we talk about using artificial intelligence in education, we have to think about how we make sure it's fair and safe for everyone. This means we need to make sure that people's personal information is kept private and secure, and that the AI algorithms don't have any hidden biases that might affect how well students learn. We also need to be open about how and why AI is being used to make decisions. Finally, we need to think about how AI might affect people's jobs and make sure that everyone has access to these new tools, not just some people. It's really important for people who make and use AI in education to think about these things and make sure they're being fair and doing what's best for everyone.
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