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unbug/codelf

0
View on GitHub↗
14,163 stars·964 forks·JavaScript·22 viewsunbug.github.io/codelf↗

Codelf

Codelf is a code naming search engine and public repository index designed to help developers find real-world variable and function naming conventions across open source projects. It functions as a searchable index of codebases to identify the most common and accepted terms for specific features.

The tool includes a repository tagging system for organizing starred projects with custom labels to improve the management of saved reference materials. It also provides a curated algorithm reference library containing coding patterns and implementation examples for studying standard programming styles.

Search capabilities include the ability to filter results by programming language to ensure naming conventions match a target environment. The platform aggregates metadata and identifiers from multiple public hosting services to facilitate cross-platform code discovery.

Features

  • Code Naming Patterns - Scans indexed source code to identify real-world naming conventions for variables and functions.
  • Code Naming Search Engines - Functions as a specialized search engine for discovering real-world variable and function naming conventions.
  • Source Code Discovery - Enables cross-platform discovery of code examples and naming conventions across multiple hosting services.
  • Repository Indexing Pipelines - Implements pipelines to crawl and index variable names from multiple public hosting services.
  • Identifier Discovery - Scans multiple public repositories to find practical naming examples for variables and functions.
  • Metadata Aggregators - Aggregates structural data and identifiers from multiple public hosting providers.
  • Code Naming Workflows - Provides a workflow for identifying accepted variable and function names by scanning multiple open source projects.
  • Codebase Indexing - Indexes public codebases to provide a searchable database of real-world naming conventions.
  • Code Examples - Allows querying public repositories to discover practical naming examples in real-world code.
  • Function Naming Patterns - Identifies real-world function naming patterns by scanning public source code.
  • Naming Conventions - Helps developers find professional and clear variable naming conventions through repository research.
  • Code Snippets and Examples - Maintains a curated library of coding patterns and algorithm snippets for studying practical implementations.
  • Search Result Filtering - Enables filtering of search results by programming language to ensure naming consistency.
  • Repository Label Management - Provides a system for managing metadata labels on repositories to improve the organization of saved projects.
  • Custom Tagging - Ships a tagging system to organize starred projects with custom labels for better reference management.
  • Algorithm Collections - Offers a collection of algorithmic implementations for daily coding practice.
  • Algorithm Repositories - Provides a curated collection of algorithmic patterns and implementation examples for study.
  • Cross-Language Pattern Discovery - Enables users to find practical implementation examples of patterns and algorithms across various programming languages.
  • Algorithmic Reference Implementations - Provides modular code patterns to demonstrate standard computational logic and naming styles.
  • Algorithm Reference Libraries - Maintains a permanent study resource of standard algorithms with implementation details.
  • Creative and Fun AI - Utility for generating meaningful variable names.
  • General Productivity Tools - Search tool for finding variable names.

Star history

Star history chart for unbug/codelfStar history chart for unbug/codelf

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does unbug/codelf do?

Codelf is a code naming search engine and public repository index designed to help developers find real-world variable and function naming conventions across open source projects. It functions as a searchable index of codebases to identify the most common and accepted terms for specific features.

What are the main features of unbug/codelf?

The main features of unbug/codelf are: Code Naming Patterns, Code Naming Search Engines, Source Code Discovery, Repository Indexing Pipelines, Identifier Discovery, Metadata Aggregators, Code Naming Workflows, Codebase Indexing.

Which projects share features with unbug/codelf?

Projects with overlapping indexed features include: kettanaito/naming-cheatsheet — This project is a code naming convention guide and programming style guide. It provides a language-agnostic set of… thealgorithms/c-sharp — This project is a collection of reference implementations for algorithms, mathematics, cryptography, compression, and… kevin-wayne/algs4 — algs4 is a Java data structures library and algorithm reference collection designed as the source code for a standard… loverajoel/jstips — jstips is a curated library of practical JavaScript patterns and concise coding shortcuts. It serves as a reference… cocoindex-io/cocoindex — Cocoindex is an incremental data processing engine that builds and maintains live indexes for AI agents, with a core… kilo-org/kilocode — Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development…

Projects sharing features with Codelf

These projects share indexed features with Codelf. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • kettanaito/naming-cheatsheetkettanaito avatar

    kettanaito/naming-cheatsheet

    14,200View on GitHub↗

    This project is a code naming convention guide and programming style guide. It provides a language-agnostic set of rules for naming variables and functions to improve the readability and cohesiveness of a codebase. The guide implements a variable naming framework that organizes identifiers using abstract, high-context, and low-context patterns. It also defines a specific function naming pattern based on a prefix-action-context system to communicate the operational domain and intended results of a function. The system covers broader standards for code readability optimization, including the u

    actioncheatsheetguideline
    View on GitHub↗14,200
  • thealgorithms/c-sharpTheAlgorithms avatar

    TheAlgorithms/C-Sharp

    8,049View on GitHub↗

    This project is a collection of reference implementations for algorithms, mathematics, cryptography, compression, and machine learning written in C#. It serves as an educational library providing standard implementations of sorting, searching, and graph theory algorithms. The repository covers a wide range of computational domains, including combinatorial optimization for constraint satisfaction and scheduling, as well as symmetric and classical cryptographic ciphers. It also provides reference code for lossless data compression techniques and fundamental machine learning primitives such as r

    C#algorithmalgorithmsalgorithms-and-data-structures
    View on GitHub↗8,049
  • kevin-wayne/algs4kevin-wayne avatar

    kevin-wayne/algs4

    7,519View on GitHub↗

    algs4 is a Java data structures library and algorithm reference collection designed as the source code for a standard computer science textbook curriculum. It provides a comprehensive suite of fundamental implementations for sorting, searching, and core data organization. The project serves as a graph theory framework, offering tools for representing directed and undirected graphs and performing complex traversals and pathfinding. It also includes a broad sorting algorithm suite and a specialized library of Java data structures, including stacks, queues, priority queues, and symbol tables. I

    Java
    View on GitHub↗7,519
  • loverajoel/jstipsloverajoel avatar

    loverajoel/jstips

    12,439View on GitHub↗

    jstips is a curated library of practical JavaScript patterns and concise coding shortcuts. It serves as a reference manual and programming guide for implementing best practices and optimized syntax patterns to write cleaner, more professional code. The project organizes technical knowledge through a collection of isolated, runnable code demonstrations and modular tip classifications. This example-driven approach allows for the discovery of modern language features and specific coding shortcuts without long-form prose. The repository covers areas of code optimization, performance tuning, and

    hacksjavascriptjavascript-tips
    View on GitHub↗12,439
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