The Algorithms - C++ vs The Algorithms - Python
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A large collection of algorithms implemented in C++ for learning.
Open source · MIT
A large collection of classic algorithms implemented in Python, for learning.
The short answer
Choose The Algorithms - C++ if you need…
- Students learning algorithms and data structures in C++
- Educators looking for example implementations to teach from
- Developers preparing for technical interviews or competitive programming
- Programmers who want to see a standard-library-only C++17 reference implementation
Choose The Algorithms - Python if you need…
- Students learning algorithms and data structures
- Developers who want readable Python examples of a specific algorithm
- Teachers looking for reference implementations to show in class
- Contributors who want to practice writing and reviewing code in an open project
Side-by-side
| The Algorithms - C++ | The Algorithms - Python | |
|---|---|---|
| Type | Learning resource | Learning resource |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 34.8k | 226k |
| Setup difficulty | Intermediate | Beginner |
| How you get it | Clone and build from source | Clone and build from source |
| Main language | C++ | Python |
| Last code update | 34 days ago | 17 days ago |
What each one is
The Algorithms - C++
This is a repository of algorithm implementations written in C++, covering topics such as computer science, mathematics, statistics, data science, machine learning, and engineering. The code and its documentation are meant for educators and students who want to study how algorithms work. Several implementations of the same problem may appear, each using a different strategy or optimization.
The Algorithms - Python
This is a community-maintained collection of algorithms written in Python, covering a wide range of topics such as sorting and searching. The README says the implementations are for learning purposes and may be less efficient than Python's standard library. People use it to study how algorithms work and to see example code they can read.
Best for
The Algorithms - C++
- Students learning algorithms and data structures in C++
- Educators looking for example implementations to teach from
- Developers preparing for technical interviews or competitive programming
- Programmers who want to see a standard-library-only C++17 reference implementation
The Algorithms - Python
- Students learning algorithms and data structures
- Developers who want readable Python examples of a specific algorithm
- Teachers looking for reference implementations to show in class
- Contributors who want to practice writing and reviewing code in an open project
Strengths
The Algorithms - C++
- Code uses STL classes with no external libraries, which keeps each example self-contained
- The README states that code is compiled and tested on Windows, macOS, and Ubuntu on every commit
- Licensed under MIT, and the documentation is published under CC BY-SA 4.0
The Algorithms - Python
- Very large collection with a broad range of algorithms
- Explicitly aimed at education and learning
- Active community with Discord channels for questions
Not ideal for
The Algorithms - C++
- Anyone needing a production library to call from an application, since the README frames the code as educational
- Readers who do not know C++, because the code and explanations assume it
- People looking for a packaged tool with an installer or release versions, since the README mentions no releases
The Algorithms - Python
- Production systems that need fast or battle-tested code, since the README warns the implementations may be less efficient than the standard library
- Anyone looking for a ready-to-install library or application, since this is a collection of code files rather than a packaged tool
Trade-offs
The Algorithms - C++
- The README does not describe a single entry point or how to pick the right file for a given need
- Because it is community-maintained, the README does not guarantee every implementation has the same level of detail
The Algorithms - Python
- The README states implementations are for learning and may be less efficient than the standard library
- The README provided is truncated and does not list the full set of algorithms; the DIRECTORY.md file is the reference for that
Getting started
The Algorithms - C++
Clone the repository
git clone https://github.com/TheAlgorithms/C-Plus-PlusThe Algorithms - Python
Clone the repository
git clone https://github.com/TheAlgorithms/PythonFrequently asked questions
What is the difference between The Algorithms - C++ and The Algorithms - Python?
The Algorithms - C++: A large collection of algorithms implemented in C++ for learning. The Algorithms - Python: A large collection of classic algorithms implemented in Python, for learning. The Algorithms - C++ suits students learning algorithms and data structures in c++, while The Algorithms - Python suits students learning algorithms and data structures.
Are The Algorithms - C++ and The Algorithms - Python free?
The Algorithms - C++: Free and open source. The Algorithms - Python: Free and open source.
Which is easier to set up, The Algorithms - C++ or The Algorithms - Python?
The Algorithms - Python is easier to get started with (rated beginner); The Algorithms - C++ is rated intermediate and usually needs more setup.
Is The Algorithms - C++ or The Algorithms - Python more popular?
The Algorithms - Python has more GitHub stars (226k) than The Algorithms - C++ (34.8k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to The Algorithms - C++ and The Algorithms - Python?
Other options people compare them with include The Algorithms - Java.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.