Difference between Compiler and Interpreter

By | February 25, 2024

1. Compiler
Compiler takes high-level human readable program and convert into low-level machine readable program. Compiler checks for any error for syntax and some semantic in the code.

2. Interpreter
Interpreter takes high-level human readable program and convert into comprehensible program. It convert high-level program into intermediate code. It contains pre-compiled code, source code, etc.

Difference between Compiler and Interpreter

Aspect Compiler Interpreter
Steps of Programming – Create program – Analyze for errors – Convert to machine code – Link files – Run – Create program – No linking – Execute source statements one by one
Output Generation Generates (.exe) output, saves machine code on disk No output generation
Code Execution Speed Compiled code runs faster Interpreted code runs slower
Working Model Uses linking-loading model Works with interpretation model
Error Display Errors shown after compiling Errors shown in every line
Code Optimization Code optimization for speed Slower optimization
Source Code Requirement No need for source code later Requires source code later
Execution Timing Execution after entire program analysis Execution after each line evaluation
CPU Utilization More CPU usage in production Less CPU usage in development
Object Code Saving Object code saved for future No object code saved
Examples C, C++, C#, etc. Python, Ruby, Perl, etc.

Note:

  1. Interpreter is faster for a process, but compiled programs run faster.
  2. Types of Compilers: Cross-Compiler, Native Compiler, etc.
  3. Types of Interpreters: Bytecode, Threaded code, etc.

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Author: Mithlesh Upadhyay

I hold an M.Tech degree in Artificial Intelligence (2023) from Delhi Technological University (DTU) and possess over 4 years of experience. I worked at GeeksforGeeks, leading teams and managing content, including GATE CS, Test Series, Placements, C, and C++. I've also contributed technical content to companies like MarsDev, Tutorialspoint, StudyTonight, TutorialCup, and Guru99. My skill set includes coding, Data Structures and Algorithms (DSA), and Object-Oriented Programming (OOPs). I'm proficient in C++, Python, JavaScript, HTML, CSS, Bootstrap, React.js, Node.js, MongoDB, Django, and Data Science.