$ show TheAlgorithms/Java
TheAlgorithms/Java is a comprehensive, community-maintained collection of over 600 algorithm and data structure implementations in Java, organized into topic-specific packages (e.g., maths, sorts, searches, dynamic programming, graph, ciphers, compression, machine learning, streaming). It is designed as an educational reference library, not a production application. The architecture follows a modular utility-class pattern: most algorithms are implemented as final classes with private constructors and static methods, and many implement shared interfaces such as SortAlgorithm and SearchAlgorithm for polymorphic usage. The codebase includes extensive JUnit 5 test coverage with parameterized tests, and many classes reference Wikipedia or academic sources. While the overall quality is high with many reusable components, there are some inconsistencies such as duplicate implementations, leftover main methods, and occasional use of raw types or legacy APIs. The repository is actively maintained with CI workflows, dependabot, and a structured contribution process.
The LLM identified 5 files worth highlighting for reuse:
Defines a generic SortAlgorithm interface with a single sort(T[]) method, enabling polymorphic sorting across all sort implementations. This is a clean, reusable abstraction that allows any sorting algorithm to be swapped in without changing client code. The interface is implemented by dozens of sort classes (BubbleSort, QuickSort, TimSort, etc.), demonstrating consistent design.
An abstract generic class that maintains a running median of a stream of numbers. It provides a template method calculateAverage() that subclasses override for different numeric types (Integer, Long, Float, Double, Byte). This pattern is reusable for any streaming median problem and demonstrates clean separation of concerns.
Implements a Grow-Only Counter (G-Counter) conflict-free replicated data type (CRDT) for distributed systems. It supports increment, merge, and value retrieval with strong eventual consistency. The implementation is self-contained, uses generics, and demonstrates a non-trivial distributed computing pattern that can be extracted and reused in other projects.
A generic Disjoint Set Union (Union-Find) implementation with path compression and union by rank. It provides find, union, and count operations. The code is clean, well-documented, and follows standard best practices. This is a classic data structure that is reusable in many graph and connectivity problems.
Implements a segment tree with lazy propagation for range updates and range queries. It supports both point and range operations, and the lazy propagation ensures O(log n) performance for updates. The implementation is generic (works with any associative operation) and demonstrates advanced data structure engineering.