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Latest Trends in JavaScript Frameworks for 2015 – 2016.

While we are about to step in 2016, everyone is predicting what the next Web development trend is going to be in 2016, as Web Development is a rapidly evolving and changing. We saw plenty of trends in 2015 some of which we are going to carry forward and some new trends are predicted for 2016.

If you want to build better audience in terms of numbers and quality and generate improved sales by extracting all the benefits of the web, you need to be part of most modern Web Development trends of JavaScript Frameworks. Here we have picked some of the JavaScript frameworks that you should know in 2016 to stay ahead and more approachable.

1. Angular.js
AngularJS, the baby of Google, is the big daddy of JavaScript frameworks.
It currently boasts the biggest community of developers and is the most used JavaScript framework for developing Single Page Web Applications. AngularJS framework gives superpowers to HTML by adding all the necessary features required to build dynamic views (interactive user interface). It gives option to extend HTML attributes by the use of Angular directives. Two-way data binding is at the core of Angular.js. This essentially takes away all the pain of writing manual code for DOM manipulation. Earlier this year Angular-2 was released as a development preview. It is a total rewrite of Angular 1 and according to us is a great improvement over old. It is almost guaranteed to become the enterprise framework of choice once it is released.

2.React.js
React.js JavaScript Framework
is behind the user interface of Facebook as well and Instagram. This gives us a quick idea about how powerful is ReactJS in building large scale applications of extreme dynamic nature. ReactJS is best at rendering complex user interfaces with high performance. The basic fundamental behind React is the concept of virtual DOM. ReactJS utilizes a virtual DOM, which can be rendered either at client side or server side and communicate back and forth. The community is growing rapidly ever since its release and I must say it is the fastest growing JavaScript framework as of today. One can find tons of resources, tutorials and React component libraries to get going within no time.

3. Ember.js
EmberJS is another powerful MVC JavaScript framework. EmberJS competes with the likes of Angular and React when it comes to building interactive frontend user interfaces and also has a very active community of developers. Ember also rides on the principal of two-way data binding like AngularJS. Ember is coming up with Fastboot.js module that allows server side rendering of DOM, the concept similar to what React is already using for better performance in complex UI rendering. Ember targets the best of both AngularJS (two-way data binding) and ReactJS (server side rendering). The way Ember community continues to power it with awesome features, we are more than sure that it will continue to ride the growing wave of JavaScript Frameworks in 2016.

4.Aurelia.js
For the existing developers who work in Durandal or Angular1 and 2, Aurelia comes with a clear migration path. AureliaJS is new but if you are evaluating a JavaScript Framework, it definitely needs a consideration. It is managed by highly professional community. A power fact about AureliaJS is that it is highly modularized and comprises of many independent small libraries. One can use entire framework in the project, use few of the required libraries, or extend the selected libraries to create custom framework. Aurelia is self-contained package and doesn’t have any external dependencies except for poly-fills.

5. Meteor.js
MeteorJS is the magical full stack platform for building end to end mobile and web applications completely in JavaScript at lightning speed. MeteorJS is the power player and comes equipped with all the features you need for front-end rendering, back-end development, business logic and database management. The best thing about MeteorJS is that you use only JavaScript for end to end application development, no need to invest time learning anything else. Meteor.JS is modular and the packages and libraries can be used on demand. The server side packages run in the node.js and you do not need anything else but MeteorJS packages to access the database, all in JavaScript, this makes MeteorJS applications real time web applications. MeteorJS ecosystem has grown huge at rapid pace and the community too is vibrant and helpful.

6. Backbone.js
The popularity and power of backbone can be judged from the fact that biggies like Pinterest, Foursquare, Walmart, Disqus and Delicious are using backone.js. The good thing about backbone is that it is simple, small size package and easy to learn. You can get started building apps with Backbone JavaScript Framework within no time. Backbone is very flexible in a way that it comes with just the minimal and you can build anything on top of it, by writing your own code or by using third party JavaScript frameworks. One can even build a fully functional opinionated framework with backbone at the core. With comparatively slow growth as compared to the rivals Angular, Ember or the newly launched React. It is still useful but more as a side framework rather than the core framework of your web project.

7. Knockout.js
Knockout works under the MVVM design paradigm
and that makes it a little different from Ember and Angular. Knockout as of now it is growing at a much slower pace as compared to the earlier competitors like Angular, Ember or Backbone. The slow growth is simply because it lags way behind in terms of improvements and adding more features, still it is used by many developers as side framework.

8. Sails.JS
Sails.JS make it easy to build custom, enterprise-grade Node.js apps. It is designed to mimic the MVC pattern of frameworks like Ruby on Rails, but with support for the requirements of modern apps: data-driven APIs with scalable, service-oriented architecture. It’s especially good for building chat, real time dashboards, or multiplayer games. It is popular in developers as it holds many ends for them in developing.

9. Vue.js
VueJs is relatively new and is gaining lot of traction among the community of developers. VueJs works with MVVM design paradigm and has a very simple API. VueJs demonstrate minimalism to the extreme and allows you to use selective modules, as required. VueJS is inspired by AngularJS, ReactiveJS, knockoutJS and RivetsJS and updates model and view via two-way data binding. While Vue is not in the league of Angular or Ember but conceptually has all the potential to be the JavaScript framework of future and hold respectable market share. It is holding the ground firmly after 10 months of its release and getting regular updates by the creator, Evan You.

10. Mercury.js
Mercury.JS is fast growing in popularity and is getting lot of attention from the community of JavaScript Developers. Mercury appears to be inspired by react and runs on the concept of virtual DOM rendering. It is modern JavaScript framework, fully modular and can be used to the extent you need. Looking at the underlying concepts, compact size, modular approach, performance and popularity, Mercury makes its place in list of best JavaScript frameworks of modern times.

The frameworks mentioned are among the best JavaScript Frameworks in the market that will continue to rule in 2016. JavaScript frameworks have become the default choice for creating complex user interfaces, specifically for Single Page Web Applications and make dynamic and much more useful and fast. Let us know your experience with frameworks and the framework of your choice via comments.

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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.

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