Top Programming Languages To Build AI Apps in 2020

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83% of IT heads believe AI/ML development services have revolutionized customer engagement, and 69% believe that AI/ML is transforming their business. Forbes

But, this technology or its lucrative segments like ML or NLP are not limited to customer engagement or business transformation; it is going beyond that. Digital Assistance, Day-to-Day Applications, Accurate Predictions, and numeral other applications of AI embedment are Revamping mobile app development.

Whether it’s a smart car from Tesla, an AI-fueled assistant like Siri, Bixby, or Google Assistant, Artificial Intelligence has broad use cases.

When every business is making most of this technology and exploring the horizon of business transformation, it is quite evident that your business should also utilize AI’s potential.

But, how to start your AI app journey, or

what is the best AI programming language to use for app development?

Even though it’s a notion that if you want to go for Artificial Intelligence, you need to know Python, it’s a base language. People who are having a Java background or know C/C++ can they also go for AI Development using these base languages?

So, let’s find out and make things easy.

When it comes to AI, language is something that doesn’t matter that much. Because in AI, there are so many processes like:

  • Identifying the problem
  • Preparing the data
  • Choosing the algorithms
  • Training the algorithms
  • Choosing the appropriate programming language
  • Run-on a selected platform

So, when you are implementing the algorithm, that’s the time when you need a language.During implementation, we’ll be using a language, some libraries, some language syntax, and implementing the algorithm.

Now, which language to choose for AI? It’s a difficult question and to answer that we will go for three things(parameters) here:

  • Ranking (Number of Users and AI Libraries & Frameworks available)
  • Domain (Area you’ll be working on)
  • Background (Whether you are a developer or newbie)

Top 5 AI Programming Languages for AI/ML App Development

Let’s move straightforward to the top 5 capable languages that can turn your AI App Ideas into jaw dropping apps.


When it comes to NLP (Natural Language Processing) or Sentiment Analysis, people normally prefer Python for AI/ML development services as it is easy to learn.

In fact, Python is the most popular programming language among the developers, holding 31.73% of the community share. It offers packages for General AI, Natural Language Processing, Machine Learning, and Neural Networks.

AI app


Suppose you selected data science as a profession, in that case, you don’t want to focus so much on the programming language. You just want to implement your idea, but how will you implement that! 

In such a case, you have to learn a language.

python app development

The easiest language to learn is Python.

And, last but not least, Python is a great choice for Artificial Intelligence in Web Development.

Some benefits of Python for AI/ML development services:

  • Easy to Learn
  • Huge Library & Framework Ecosystem
  • Truly Flexible
  • Readability
  • Platform Independence
  • Good Data Visualization
  • Community Support

Now, Python is a language that is easy to learn and offers so many libraries like:

  • TensorFlow
  • Pytorch
  • Keras
  • SparkMLlib
  • Pybrain
  • Scikit-learn
  • Theano
  • OpenCV
  • NumPY


Java is the second most trending programming language that is helping the AI developers for Search Algorithms, Neural Networks, and NLP (natural language processing).


For example, If you change the domain from data science to enterprise, you might be working on Big Data, Fraud Detection, or you will be working on Network Security, in this case, your team could force you to go for Java.

Java is worth-mentioning and good when it comes to implementing AI for Next-Gen Apps, and it also offers other benefits for app development like:

  • Easy to Use
  • Packaged Services
  • Easy Debugging
  • Platform Independence
  • Good for Large Projects
  • Built-In Garbage Collector
  • Graphical Representation of Data

Libraries offered by Java for AI is also a benefit. It offers these libraries:

  • Apache Jena
  • Eye
  • d3web
  • PowerLoom
  • Tweety
  • ApacheOpenNLP
  • Jenetics
  • Acceleo


C++ is one of the fastest programming languages that are prominent to use for AI/ML development services. According to a survey from StackOverFlow, it is 9th most popular technology among developers:



This language is also good for writing resource-intensive applications when proper use of resources, and performance is essential. It helps you to save the overhead cost of JVM when people are working in an embedded development environment.

Assume, you are focusing on Robots, Speech Recognition, Computer Vision, Games, or AI-enabled devices for healthcare, the widely used language is C++. 

We have already been making games using C++ because we don’t want to make it heavy using JVM concepts or interpreters. So, it makes sense to use C++.

The most benefits that C++ offers for AI app development:

  • Object-Oriented Programming
  • Portability
  • Proper Use of Resources
  • Faster Execution of Code
  • Low-Level Manipulation
  • Multi-Paradigm
  • Memory Management
  • Scalability

Libraries that are offered by C++ to make AI/ML development services easier are:

  • Shark
  • MLpack
  • Boost
  • Torch
  • TensorFlow Lite

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R is a statistical language that is a perfect fit for the recent in-crunch AI. It is made for manipulating data to generate statistics. So, if you are up to generate valuable business insights using Artificial Intelligence, then R will be a perfect choice.

It is made for Data Science and Deep Learning where you can utilize it for Predictive Analysis, Statistical Computations, Numerical Analysis, Neural Networks, and Machine Learning.

You don’t need to be a Code Nazi to use R. 

If you are someone who knows the basics of Python, Java, C++, or JavaScript, then R will be easy to implement. 

Implementation of R can be done in domains like Finance, Healthcare, eCommerce, Banking, and Consulting.


Src: stackoverflow

Benefits that R comprises for AI app development:

  • Free and Open-Source
  • Machine Learning Operations
  • Big Data Compliant 
  • Strong Package Ecosystem
  • Variety of Statistical Solutions
  • Easy to Integrate
  • Highly Compatible
  • Platform independent

As R is a strong package ecosystem for machine learning, there are a number of R packages for AI/ML development services:

  • Carat
  • Random Forest
  • RPart
  • DataExplorer
  • Dplyr
  • MICE
  • E1071
  • Plotly


If you are a web developer and want to try a hand in AI, then it is possible. You might be familiar with JavaScript, don’t you?

But, is it even possible to use JavaScript for AI?

Yes, it is! It might sound like an unusual choice. But, you can use JS for AI.

You don’t need to hire a python developer. You can get a head-start with your JS skills. 

It can be used for training Neural Network, Deep Learning, Web & Mobile app development, and other AI activities.

Using TensorFlow.js open-source library, you can define, train, and run machine learning models entirely in the browser and Node.js.

JS offers multiple benefits that make it good for AI/ML development services:

  • Security
  • Fast Performance
  • Less Time-to-Market
  • Cross-Platform Programming
  • Offers Great Pool of Libraries
  • Scalable Applications

There is a vast range of JS Libraries & Frameworks for AI app development that can be used:

  • TensorFlow.js
  • ConvNetJS
  • Brain.js
  • Synaptic
  • Neuro.js
  • WebDNN
  • DeepForge
  • Ml.js

Selecting the right language and using the right AI software development tools can help you achieve the expected app outcomes. Otherwise, it will get a flip, and your app will be a big failure.

So, what are the best AI software development tools?

And, how to select the right language for AI/ML development? Curious right!

How to Select Programming Language for AI App Development?

Deciding which programming language is best for AI/ML development services in 2020, go through these 3 basic factors:

  • App Niche:

The reason for building your app can help to find the best language. 

Suppose you are looking for a web app that can predict the weather or answer the public queries, then Python & JavaScript could be helpful. If you are planning for a virtual assistance app that will be solely made for Android, then you can opt for Java or C++ to get AI/ML development services.

So, it depends upon the app type as well as what AI language to use.


  • Language Features:
  1. Are you planning for a native app or looking to build a Cross-platform AI app? 
  2. What features are you planning to offer in your app?
  3. What technologies do you want to introduce?
  4. What level or kind of security do you want to add in your AI solution?

These questions can also help you to find the top programming languages to build AI apps.

For example, you want an ML-based app and finding a technology that is trusted and existing for a long time; Python can serve your purpose. Or, if you are looking for a language that will be good for cross-platform development then JS will be a great option to consider.

  • Development Resources:

The selection of  AI programming language also depends upon the skill set of resources. Here, resources are your in-house or offshore developers. 

If their skillset meets to your preference(preferred language), then you’ll get streamlined AI/ML development services. Otherwise, it will increase the development cost, time-to-market, and risk factors for app failure.


Research shows that the global AI market size is expected to grow to a whopping $733 billion in 2025 from the current market size of $62.4 billion in 2020 at a CAGR of 42.2%

To be a part of this flourishing technology, it is required to have the appropriate programming resources. Each language got its own pros and cons.

Till now, the most preferred languages for AI app development are Python & Java. These languages are great for Data Science, Machine learning, Search Algorithms, NLP, Neural Networks, and many other AI tasks.

If you are new to programming or don’t have that much programming skills, then Python is easy to learn as compared to other languages and it offers a big pool of AI libraries which makes it easy to implement Artificial Intelligence algorithms in your app.

So, try to go for these aforementioned languages when it comes to indulging AI in your apps. Focus on your app niche, language features, and available resources when you have to choose appropriate language for AI app development.

If still you are confused with the appropriate language or platform for your AI-fueled app development then our team of AI experts with 14+ years of experience can help you with reliable AI/ML development services on an amazing price break.

Contact ValueCoders for getting complete AI solutions to fully embrace AI/ML app capabilities.


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