Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(30)

Technology Modernization(8)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(38)

Insurtech(66)

Product Innovation(58)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(148)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(23)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

5 Reasons Why Flutter Framework is Better than React Native

4 minutes read

Flutter has become one of the most hyped cross native frameworks since its stable release. Nowadays, most of the companies are enthusiastic about flutter. It is mainly because one can develop applications for Android, iOS, Windows, Mac, Linux, and web from a single codebase. Despite fast development and flexible UI, many developers still want to hold on to the React Native. Let’s discuss why Flutter Framework is the best followed by a comparison between Flutter and React Native from a developer’s perspective.

What is Flutter?

Flutter, a UI software development kit by Google is known for building impressive, natively compiled apps for web, mobile, and desktop using a single codebase.

Flutter was originally an open-source project for mobile application development. Later it was extended to support platforms like web, Windows, Google Fuchsia and Linux. You might be already aware of Google’s new operating system called Fuchsia. Here, Flutter is the primary source for developing its applications. Recently, Flutter has become more competitive with React Native (Facebook) and Xamarin (Microsoft).

Useful resources:

  1. Mobile support for Flutter
  2. Web support for Flutter
  3. Desktop support for Flutter 

Why Flutter Framework?

1. Fast Development

Flutter is faster than many other application development frameworks. With its “hot reload” feature, you can experiment, build UIs, add/remove features, test and fix bugs faster. Thus reducing the overall app development time.

2. Expressive and Flexible UI

You can really build beautiful apps in Flutter. Also, the end-user experience is similar to native apps. Flutter has a layered architecture that lets you control every pixel on the screen. Thus, customization is very simple in Flutter. With its powerful composting capabilities, you can overlay and animate graphics, text, video, and other controls without any limitations.

You’ll also find a set of widgets that deliver pixel-perfect experiences on Android and iOS. It enables the ultimate realization of Material Design. Just in case you don’t know, Material.io is Google’s initiative to build beautiful, usable products with Material Components for digital experiences.

Useful resources: Material.io

3. Native Performance

Flutter’s widgets incorporate all critical platform differences such as scrolling, navigation, icons and fonts. This provides a native performance experience on both iOS and Android.

4. Dart Language

Dart programming language is developed by Google and is meant for mobile, desktop, backend and web applications. It is a client-optimized language for fast performing apps on multiple platforms.
Dart is AOT (Ahead Of Time) compiled to fast, predictable, native code, allowing writing almost all of Flutter code in Dart. This makes Flutter extremely fast and customizable. Virtually, everything (including all the widgets) can be customized.

5. Important Flutter Tools

Flutter framework supports many different tools including Android Studio and Visual Studio Code. It also provides support for building apps from the command line. Dart DevTools, which is a new debugging tool, is more flexible and allows runtime inspection. You can also view logs, debug apps and inspect widgets for Flutter App Development.

  1. Widget inspector helps to visualize and explore the tree hierarchy. Flutter uses this for UI rendering.
  2. Timeline view helps you to monitor your application at a frame-by-frame level. You can also identify rendering and computational work in timeline view.
  3. Source-level Debugger: It lets you step through code, set breakpoints and investigate the call stack.
  4. Logging View displays events from the Dart runtime, application frameworks and app-level logging events.

Flutter vs React Native

FlutterReact Native
Initial Release20172015
Created ByGoogleFacebook
Open Sourceyesyes
Programming LanguageDartJavaScript
Popularity68,000 Stars on Github (June 2019)78,400 stars on Github (June 2019)
IDEHigher compatibility with IntelliJ idea, Visual code studio & Android studioA wide range of IDE’s and tools support React Native
Documentationclean and easy to followUnclear
ArchitectureBLoCFlux and Redux
Stateful Hot ReloadingAvailableAvailable
Adaptive ComponentsComponents are not adaptive. Need to be configured manually (proprietary widgets)Some are adaptive automatically
(native components)
App PerformanceHigher at 60fps animation standardLower as it uses JavaScript bridge for initiating interaction
Native AppearanceBetter as it has access to the device’s core functionalitiesLess due to its dependency on third-party
3D SupportNoYes
Top apps built using Flutter/ReactXianyu app by Alibaba, Hamilton app for Hamilton Musical, Google Ads app
More
Instagram, Facebook, Facebook Ads, Skype, Tesla

Conclusion

React Native is an older framework is quite popular with its stability and developing time. However, React Native and Flutter framework have their own pros and cons. But, both are actively good looking at the features they’re providing.

React Native sounds like a tooling and dependency nightmare, while Flutter sounds like pleasure but still suffering growing pains. From my personal experience, many developers have expressed extreme frustration with React Native at times. Also, Developers have acknowledged that it’s a pleasure to develop apps in Flutter. 

From my own experience, I’m strongly leaning towards Flutter.


About the Author: Raviteja Aketi is a Senior Software Engineer at Mantra Labs. He has extensive experience with B2B projects. Raviteja loves exploring new technologies, watching movies, and spending time with family and friends.

Further reading:

Cancel

Knowledge thats worth delivered in your inbox

Will AI Be the Future’s Definition of Sustainable Manufacturing?

Governments worldwide are implementing strict energy and emission policies to drive sustainability and efficiency in industries:

  • China’s Dual Control Policy (since 2016) enforces strict limits on energy intensity and usage to regulate industrial consumption.
  • The EU’s Fit for 55 Package mandates industries to adopt circular economy practices and cut emissions by at least 55% by 2030.
  • Japan’s Green Growth Strategy incentivizes manufacturers to implement energy-efficient technologies through targeted tax benefits.
  • India’s Perform, Achieve, and Trade (PAT) Scheme encourages energy-intensive industries to improve efficiency, rewarding those who exceed targets with tradable energy-saving certificates.

These policies reflect a global push toward sustainability, urging industries to innovate, reduce carbon footprints, and embrace energy efficiency.

What’s driving the world to impose these mandates in manufacturing?

This is because the manufacturing industry is at a crossroads. With environmental concerns mounting, the sector faces some stark realities. Annually, it generates 9.2 billion tonnes of industrial waste—enough to fill 3.7 million Olympic-sized swimming pools or cover the entire city of Manhattan in a 340-foot layer of waste. Manufacturing also consumes 54% of the world’s energy resources, roughly equal to the total energy usage of India, Japan, and Germany combined. And with the sector contributing around 25% of global greenhouse gas emissions, it outpaces emissions from all passenger vehicles worldwide.

These regulations are ambitious and necessary. But here’s the question: Can industries meet these demands without sacrificing profitability?

Yes, sustainability initiatives are not a recent phenomenon. They have traditionally been driven by the emergence of smart technologies like the Internet of Things (IoT), which laid the groundwork for more efficient and responsible manufacturing practices.

Today, most enterprises are turning to AI in manufacturing to further drive efficiencies, lower costs while staying compliant with regulations. Here’s how AI-driven manufacturing is enhancing energy efficiency, waste reduction, and sustainable supply chain practices across the manufacturing landscape.

How Does AI Help in Building a Sustainable Future for Manufacturing?

1. Energy Efficiency

Energy consumption is a major contributor to manufacturing emissions. AI-powered systems help optimize energy usage by analyzing production data, monitoring equipment performance, and identifying inefficiencies.

  • Siemens has implemented AI in its manufacturing facilities to optimize energy usage in real-time. By analyzing historical data and predicting energy demand, Siemens reduced energy consumption by 10% across its plants. 
  • In China, manufacturers are leveraging AI-driven energy management platforms to comply with the Dual Control Policy. These systems forecast energy consumption patterns and recommend adjustments to stay within mandated limits.

Impact: AI-driven energy management systems not only reduce costs but also ensure compliance with stringent energy caps, proving that sustainability and profitability can go hand in hand.

2. Waste Reduction

Manufacturing waste is a double-edged sword—it pollutes the environment and represents inefficiencies in production. AI helps manufacturers minimize waste by enhancing production accuracy and enabling circular practices like recycling and reuse.

  • Procter & Gamble (P&G) uses AI-powered vision systems to detect defects in manufacturing lines, reducing waste caused by faulty products. This not only ensures higher quality but also significantly reduces raw material usage.
  • The European Union‘s circular economy mandates have inspired manufacturers in the steel and cement industries to adopt AI-driven waste recovery systems. For example, AI algorithms are used to identify recyclable materials from production waste streams, enabling closed-loop systems. 

Impact: AI helps companies cut down on waste while complying with mandates like the EU’s Fit for 55 package, making sustainability an operational advantage.

3. Sustainable Supply Chains

Supply chains in manufacturing are vast and complex, often contributing significantly to carbon footprints. AI-powered analytics enable manufacturers to monitor and optimize supply chain operations, from sourcing raw materials to final delivery.

  • Unilever uses AI to track and reduce the carbon emissions of its suppliers. By analyzing data across the supply chain, the company ensures that partners comply with sustainability standards, reducing overall emissions.
  • In Japan, automotive manufacturers are leveraging AI for supply chain optimization. AI algorithms optimize delivery routes and load capacities, cutting fuel usage and emissions while benefiting from tax incentives under Japan’s Green Growth Strategy.

Impact: By making supply chains more efficient, AI not only reduces emissions but also builds resilience, helping manufacturers adapt to global disruptions while staying sustainable.

4. Predictive Maintenance

Industrial machinery is a significant source of emissions and waste when it operates inefficiently or breaks down. AI-driven predictive maintenance ensures that equipment is operating at peak performance, reducing energy consumption and downtime.

  • General Electric (GE) uses AI-powered sensors to monitor the health of manufacturing equipment. These systems predict failures before they happen, allowing timely maintenance and reducing energy waste.
  • AI-enabled predictive tools are also being adopted under India’s PAT scheme, where energy-intensive industries leverage real-time equipment monitoring to enhance efficiency. (Source)

Impact: Predictive maintenance not only extends the lifespan of machinery but also ensures that energy-intensive equipment operates within sustainable parameters.

The Road Ahead

AI is no longer just a tool—it’s a critical partner in achieving sustainability. By addressing challenges in energy usage, waste management, and supply chain optimization, AI helps manufacturers not just comply with global mandates but thrive in a world increasingly focused on sustainability.

As countries continue to tighten regulations and push for decarbonization, manufacturers that embrace AI stand to gain a competitive edge while contributing to a cleaner, greener future.

Mantra Labs helps manufacturers achieve sustainable outcomes—driving efficiencies across the shop floor to operational excellence, lowering costs, and enabling them to hit ESG targets. By integrating AI-driven solutions, manufacturers can turn sustainability challenges into opportunities for innovation and growth, building a more resilient and responsible industry for the future.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot