Top Programming Languages to Design AI Apps In 2021

9 Best Programming Languages For AI App Development


  • Easy-to-understand syntax
  • Tons of ready-to-use libraries from the Python developer community
  • Supports almost every operating system
  • Object-oriented approach
  • Access to any language stack as it is open-source
  • Theano
  • Scikit-learn
  • TensorFlow
  • Keras


  • This unique programming language allows the data structures to be executed as programs and these programs are modified as data.
  • Unlike the loop structure, in LISP, recursion is used as the main control structure
  • The best option for processing symbolic information
  • You can easily create new dynamic objects and develop prototypes according to your requirements.
  • Web locks
  • Clack
  • SabraOnTheHill


  • This language effectively handles huge numbers of inputs and in some ways, it is better than Python
  • It allows working on both object-oriented programming and functional programming
  • It is independent and integrates well with the other programming languages
  • Apart from data analysis, this programming language is more geared towards data visualization
  • Keras
  • MXNet
  • TensorFlow


  • Well-defined semantics
  • Transparent and easy-to-navigate development environment
  • Easy syntax
  • Simple to use syntax and semantics
  • More powerful than Pascal and C (algorithmic languages)
  • The facts and rules can be dynamically changed by the program itself or by the user anytime
  • ProFL
  • Eclipse
  • SWI-Prolog


  • It has high computing performance that is accelerated with WebGL.
  • This programming language is known for being a secure development environment as it does not access your files.
  • The development, bug removal, and performance optimization process take place at higher speeds.
  • Tweety
  • Apache
  • Eye
  • PowerLoom


  • Simplifies and solves complicated AI issues
  • Offers a large set of library functions and tools
  • Being an OOP language, it helps in organizing the data
  • Boost
  • TensorFlow
  • Shark
  • Microsoft Cognitive Toolkit


  • Simple bug-removal process
  • Easy-to-use interface and navigation
  • Effectively simplifies work on scalable projects
  • Easy graphical data presentation
  • User-friendly interface
  • Hibernate
  • Blade
  • GWT
  • Spring
  • JSF


  • Improvements in the string-comparison
  • Pattern matching functionality
  • Mixins include functions in the class definitions
  • Offers permanent data structure
  • Scala can be easily combined with Java stack
  • It offers a secure set of programming patterns
  • Pinky
  • Play
  • Scalatra


  • Random precision values
  • Common numeric data types
  • Set of mathematical functions
  • Code introspection and dictionaries
  • A built-in efficient package manager
  • Can interact with other languages
  • These packages are written in a high-level language
  • The packages are powerful software components that are easy to use no matter the language they are transmitted from.
  • Simple to use and easy-to-understand syntax
  • JIT compilation
  • A large number of specialized packages
  • Faster services
  • Better performance
  • Merly
  • Bukdu
  • Genie

All In All



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Nishi Agrawal

Nishi Agrawal


Management Student, Digital Marketing Enthusiastic Interested in Web Security and Internet topics. Young Mind with creative thinking capabilities.