Top Javascript Frameworks and Trends in 2020

Published on Dec 31, 2019

Updated on Jan 3, 2020

With a fast-growing MEAN stack for web and mobile applications, Javascript is becoming the first choice for developers. It is the favorite technology for most professional developers (71.5% in 2018 and 69.7% in 2019), according to the Stack Overflow survey report. Let’s now look at the emerging trends and Javascript applications that are shaping for 2020.

Javascript Trends 2020 Overview

All modern browsers support Javascript and that’s why over 10400 companies in the world use Javascript in their stacks, according to stackshare.io. Here’s an overview of rising Javascript trends for 2020.

Booming TypeScript: It is a superset of Javascript and existing JS programs function smoothly on TypeScript.
In 2018, Vue.JS surpassed React, but since 2019, React is getting back its momentum.
Framework independent web components are growing rapidly.
Developers are considering modular and reusable components.
Angular 7 is on the rise with new interesting features.
More focus on solution-driven APIs through GraphQL.

TypeScript is designed by Microsoft to expand Javascript capabilities. Developers love TypeScript because of fewer bugs, easy to read codes, and self-documentation feature. Visit Github for TypeScript resources.

Top Javascript Frameworks in 2020

Although we see growing traction for framework-agnostic components, the demand for simple and scalable frameworks is still intact. Let’s look at the top 3 frontend and backend JS Frameworks.

The Top 3 Javascript Frameworks for Frontend Development

#1 Angular 7

AngularJS is a Javascript-based, open-source frontend framework developed by Google. Since its release in 2010, there have been several releases to make AngularJS more user-friendly and effective for web development. Following are some of the exceptional features that make Angular 7 even more desirable.

Styling with CSS, SCSS, LESS using ng new / ng add commands.
Virtual scrolling is now possible with ScrollingModule.
Sorting and moving elements between the list has become simpler with the new DragDropModule function.
Using TypeScript, Angular 7 has updated and enhanced dependencies.

#2 React

Facebook introduced React in 2013 and it has been trending for the last four years. Although last year’s release did not include any major release (just minor bug fixes in React DOM and Is), it still boasts of its biggest knowledgebase, support, and community. The following are the reasons for the popularity of React among developers –

Native UI: HTML 5 UI comes with several compromises in terms of intuitive user experience. React brings forth a new and highly functional approach to constructing user interfaces. In other words, the application UI is simply the function of the current application state.
Component-based approach: It allows building encapsulated components that can be assembled to make complex UIs.

Also read – What is React Native Framework: An In-depth Study

#3 Ionic

Ionic is a framework to build and deploy cross-platform (android, native iOS, web) apps. Developers prefer this framework especially because of its intuitive UI components. Apart from simple CLI, and impressive icons, the best features that Ionic delivers are –

Deeplinking – it allows loading a specific view on the app from a web link.
AoT Compiling – to load apps at a lightning-fast speed.
Live Reload – to compile and redeploy apps at every stage of development.

The Top 3 Javascript Frameworks for Backend Development

#1 Express

Express is one of the four components of the rapidly growing MEAN stack (MongoDB, Express, AngularJS, and Node.js). Developers prefer this framework for building APIs and web applications because of its robustness and minimalism. There have been 7 releases to upgrade the performance of the Express framework and no doubt, it retains the position of trending javascript frameworks even for 2019-20.

Express is one of the oldest active Javascript framework since 2010 and is termed as a standard server framework for Node.js.

#2 Next.js

It is a small framework particularly for developing applications in React. Next.js allows developing complex applications with minimal coding. This year, React and Next.js are going hand-in-hand. The growing popularity of React is driving developers’ inclination towards using Next.js. Its key features are –

Allows building universal JS applications that are compatible with any server or device.
Irrespective of the data source, server rendering is easier in Next.js.
It has in-built styling but also works with every CSS-in-JS solution.

#3 Meteor

It is an open-source isomorphic (applications that run on both client and server) javascript framework. Meteor has grown exponentially since its release in 2012. Its key features are-

Compact code: It has an integrated Javascript stack that allows writing compact codes. For instance, a 1000 lines of code can be written in just 10 lines in Meteor.
Hot push: It allows new feature releases without app store approval or users having to download the native app again.
Technology integration: It allows integrating popular frameworks and tools. Thus, utilizing the best features from other tech stacks/frameworks.

Special mention: GraphQL

GraphQL is a query language for APIs and provides a runtime environment for fulfilling queries. It is developed by Facebook and is a star performer in the Github community. Also, many developers believe — GraphQL can replace REST APIs very soon.

GraphQL addresses the following data issues-

It gets all the necessary data to the client via a single request to the server.
The client can communicate in a universal query language. Thus, the server need not specify the structure and composition of the returned data.
It follows a declarative approach of describing the data requirements for the interface. Here, the focus is more on “what” rather than “how” making the information retrieval process simpler.

What about Node.js?

Node.js is the most popular Javascript-based runtime environment for MEAN stack. One should not confuse it with frameworks. It allows developers to use Javascript on both front and backend. Its resourceful APIs make backend development easier. It is a great choice for developing real-time and collaborative applications to date.

Probably, you’ll be interested to know what has changed in Javascript technology over the past few years. Take a look at the past trends-

Bonus – Top trending React Libraries of 2019!

In 1989, a missing $0.50 bolt led to the mid-air explosion of United Airlines Flight 232. The smallest oversight in manufacturing can set off a chain reaction of failures. Now, imagine a factory floor where thousands of components must function flawlessly—what happens if one critical part is about to fail but goes unnoticed? Predictive analytics in manufacturing ensures these unseen risks don’t turn into catastrophic failures by providing foresight into potential breakdowns, supply chain risk analytics, and demand fluctuations—allowing manufacturers to act before issues escalate into costly problems.

Industrial predictive analytics involves using data analysis and machine learning in manufacturing to identify patterns and predict future events related to production processes. By combining historical data, machine learning, and statistical models, manufacturers can derive valuable insights that help them take proactive measures before problems arise.

Beyond just improving efficiency, predictive maintenance in manufacturing is the foundation of proactive risk management, helping manufacturers prevent costly downtime, safety hazards, and supply chain disruptions. By leveraging vast amounts of data, predictive analytics enables manufacturers to anticipate machine failures, optimize production schedules, and enhance overall operational resilience.

But here’s the catch, models that predict failures today might not be necessarily effective tomorrow. And that’s where the real challenge begins.

Why Predictive Analytics Models Need Retraining?

Predictive analytics in manufacturing relies on historical data and machine learning to foresee potential failures. However, manufacturing environments are dynamic, machines degrade, processes evolve, supply chains shift, and external forces such as weather and geopolitics play a bigger role than ever before.

Without continuous model retraining, predictive models lose their accuracy. A recent study found that 91% of data-driven manufacturing models degrade over time due to data drift, requiring periodic updates to remain effective. Manufacturers relying on outdated models risk making decisions based on obsolete insights, potentially leading to catastrophic failures.

The key is in retraining models with the right data, data that reflects not just what has happened but what could happen next. This is where integrating external data sources becomes crucial.

Is Integrating External Data Sources Crucial?

Traditional smart manufacturing solutions primarily analyze in-house data: machine performance metrics, maintenance logs, and operational statistics. While valuable, this approach is limited. The real breakthroughs happen when manufacturers incorporate external data sources into their predictive models:

Weather Patterns: Extreme weather conditions have caused billions in manufacturing risk management losses. For example, the 2021 Texas power crisis disrupted semiconductor production globally. By integrating weather data, manufacturers can anticipate environmental impacts and adjust operations accordingly.
Market Trends: Consumer demand fluctuations impact inventory and supply chains. By leveraging market data, manufacturers can avoid overproduction or stock shortages, optimizing costs and efficiency.
Geopolitical Insights: Trade wars, regulatory shifts, and regional conflicts directly impact supply chains. Supply chain risk analytics combined with geopolitical intelligence helps manufacturers foresee disruptions and diversify sourcing strategies proactively.

One such instance is how Mantra Labs helped a telecom company optimize its network by integrating both external and internal data sources. By leveraging external data such as radio site conditions and traffic patterns along with internal performance reports, the company was able to predict future traffic growth and ensure seamless network performance.

The Role of Edge Computing and Real-Time AI

Having the right data is one thing; acting on it in real-time is another. Edge computing in manufacturing processes, data at the source, within the factory floor, eliminating delays and enabling instant decision-making. This is particularly critical for:

Hazardous Material Monitoring: Factories dealing with volatile chemicals can detect leaks instantly, preventing disasters.
Supply Chain Optimization: Real-time AI can reroute shipments based on live geopolitical updates, avoiding costly delays.
Energy Efficiency: Smart grids can dynamically adjust power consumption based on market demand, reducing waste.

Conclusion:

As crucial as predictive analytics is in manufacturing, its true power lies in continuous evolution. A model that predicts failures today might be outdated tomorrow. To stay ahead, manufacturers must adopt a dynamic approach—refining predictive models, integrating external intelligence, and leveraging real-time AI to anticipate and prevent risks before they escalate.

The future of smart manufacturing solutions isn’t just about using predictive analytics—it’s about continuously evolving it. The real question isn’t whether predictive models can help, but whether manufacturers are adapting fast enough to outpace risks in an unpredictable world.

At Mantra Labs, we specialize in building intelligent predictive models that help businesses optimize operations and mitigate risks effectively. From enhancing efficiency to driving innovation, our solutions empower manufacturers to stay ahead of uncertainties. Ready to future-proof your factory? Let’s talk.

Top Javascript Frameworks and Trends in 2020

Javascript Trends 2020 Overview

Top Javascript Frameworks in 2020

The Top 3 Javascript Frameworks for Frontend Development