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6 Repos

Awesome GitHub RepositoriesPrefix-Based Pattern Matching Algorithms

Algorithms for optimizing pattern matching using prefix function analysis to skip redundant comparisons.

Distinct from String Processing Algorithms: Focuses on prefix-based optimization, distinct from general string processing.

Explore 6 awesome GitHub repositories matching software engineering & architecture · Prefix-Based Pattern Matching Algorithms. Refine with filters or upvote what's useful.

Awesome Prefix-Based Pattern Matching Algorithms GitHub Repositories

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  • oi-wiki/oi-wikiAvatar von OI-wiki

    OI-wiki/OI-wiki

    26,176Auf GitHub ansehen↗

    This project is a comprehensive, community-maintained knowledge base and toolkit designed for competitive programming. It serves as a centralized repository for algorithmic theory, data structures, and mathematical techniques, providing a structured reference for informatics and collegiate programming competitions. The project distinguishes itself by integrating educational content with a robust suite of automation utilities. It provides a complete workflow for competitive programming, including tools for automated test case generation, solution verification, and direct interaction with onlin

    Provides prefix-based algorithms to optimize pattern searching performance.

    TypeScriptacm-icpcacm-icpc-handbookalgorithms
    Auf GitHub ansehen↗26,176
  • wangzheng0822/algoAvatar von wangzheng0822

    wangzheng0822/algo

    23,159Auf GitHub ansehen↗

    This project is a data structures and algorithms library providing a collection of fifty standard code implementations for managing data and solving common computational problems. It serves as an algorithm implementation reference and study resource for educational use. The codebase covers graph theory implementations for modeling networks and performing searches, as well as string pattern matching libraries for the retrieval of character sequences. It includes a collection of hierarchical data structures, such as binary search trees and priority heaps, and provides optimized solutions for dy

    Organizes character sequences into a hierarchical structure for fast string pattern retrieval.

    Python
    Auf GitHub ansehen↗23,159
  • techarohq/anubisAvatar von TecharoHQ

    TecharoHQ/anubis

    17,067Auf GitHub ansehen↗

    Anubis is a command-line security reconnaissance framework designed for subdomain enumeration and attack surface mapping. It functions as a utility for security professionals to identify, catalog, and visualize the external digital footprint of an organization by discovering all subdomains associated with a target domain. The tool distinguishes itself through a modular resolver pipeline that integrates passive reconnaissance from third-party security APIs and public certificate transparency logs. It combines this data with active discovery methods, including recursive DNS brute-forcing and al

    Generates potential subdomains by applying algorithmic transformations and naming patterns to known infrastructure.

    Godefensesecurity
    Auf GitHub ansehen↗17,067
  • projectdiscovery/subfinderAvatar von projectdiscovery

    projectdiscovery/subfinder

    13,105Auf GitHub ansehen↗

    Subfinder is a security reconnaissance framework designed for subdomain enumeration and attack surface management. It functions as a discovery engine that identifies and maps internet-exposed infrastructure, cloud-hosted assets, and network ranges to maintain a comprehensive inventory of an organization's digital footprint. The project distinguishes itself through a modular, template-driven scanning engine that executes security checks against discovered assets. It leverages cloud-native asset discovery to query provider APIs and infrastructure metadata, while supporting distributed agent orc

    Generates targeted subdomain variations using naming patterns and dynamic payloads to improve discovery efficiency.

    Gobugbountyhackinghacktoberfest
    Auf GitHub ansehen↗13,105
  • mission-peace/interviewAvatar von mission-peace

    mission-peace/interview

    11,306Auf GitHub ansehen↗

    This project is a comprehensive library of reference implementations for fundamental data structures and algorithms, designed to support technical interview preparation and software engineering assessments. It provides a structured collection of computational techniques for solving complex problems involving arrays, strings, graphs, trees, and mathematical analysis. The library distinguishes itself by offering specialized implementations for advanced topics, including concurrent programming patterns and geometric algorithms. It features thread-safe primitives for managing shared state and tas

    Applies the Z algorithm to identify occurrences of a pattern within a string by precomputing prefix information.

    Java
    Auf GitHub ansehen↗11,306
  • chefyuan/algorithm-baseAvatar von chefyuan

    chefyuan/algorithm-base

    10,702Auf GitHub ansehen↗

    algorithm-base is an educational library and study guide designed for simulating algorithms and studying data structures. It functions as an execution visualizer that renders step-by-step state changes and pointer updates through animated simulations to illustrate how data movement works. The project distinguishes itself by mapping conceptual logic directly to multi-language source code implementations. It utilizes a comparative analysis framework to evaluate different algorithmic strategies based on stability, time complexity, and space complexity, while organizing problems by underlying mec

    Demonstrates prefix-based pattern matching logic through simulations of the KMP algorithm.

    algorithmsbaseinterview-practice
    Auf GitHub ansehen↗10,702
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  3. String Processing Algorithms
  4. Prefix-Based Pattern Matching Algorithms

Unter-Tags erkunden

  • Hostname Permutation GeneratorsAlgorithms that generate potential subdomains by applying naming patterns to known hostnames. **Distinct from Prefix-Based Pattern Matching Algorithms:** Distinct from Prefix-Based Pattern Matching: focuses on generating domain variants for discovery rather than optimizing string comparison algorithms.
  • TriesHierarchical tree structures used for efficient retrieval and matching of string prefixes. **Distinct from Prefix-Based Pattern Matching Algorithms:** Specializes prefix-based pattern matching by specifically implementing the trie data structure.