skygragon/leetcode-cli
Leetcode Cli
leetcode-cli is a command line interface for browsing, solving, and submitting coding challenges to LeetCode without using a web browser. It serves as an algorithm practice manager and a plugin-based developer tool that enables users to manage the full lifecycle of competitive programming from the terminal.
The project provides a containerized code execution environment using Docker to run and test algorithm solutions in isolated environments. It features a modular architecture that supports third-party extensions to add custom features and workflows.
The tool covers a wide range of capabilities, including problem browsing and filtering, template-based code generation, and local data caching for offline study. It also manages user identity through persistent session handling and tracks problem-solving progress via submission history retrieval and statistics analysis.
Features
- Competitive Programming Workflows - Manages the full lifecycle of coding problems, including fetching descriptions, generating templates, testing, and submission.
- Competitive Programming Workflows - Provides a complete terminal-based workflow to browse, solve, and manage LeetCode technical challenges.
- Automated Code Submissions - Provides automated submission of source code to the remote platform for evaluation and scoring.
- Code Generation Templates - Creates language-specific source files based on problem metadata and predefined templates.
- Remote Execution APIs - Executes code against test cases on the remote platform and retrieves the results.
- LeetCode Command Line Interfaces - Provides a full terminal-based interface for browsing, solving, and submitting coding challenges to LeetCode.
- Solution Scaffolding - Generates local source code files for LeetCode questions to facilitate direct terminal submission.
- Template-Based Code Generators - Automates the creation of boilerplate source files based on selected languages and problem specifications.
- CLI - Executes the interface within a Docker container and uses volume mounts to persist user data.
- Containerized Execution Environments - Provides a secure system using Docker to run and test algorithm solutions in isolated environments.
- Algorithm Practice Interfaces - Provides a terminal-based interface for solving LeetCode coding challenges without using a web browser.
- Algorithm Practice Tools - Serves as a tool for tracking progress, caching problems, and managing submission history for algorithm practice.
- Account Authentication Managers - Handles core authentication processes including logging in, logging out, and retrieving account details.
- Local Test Execution - Runs local solution files against specific test cases to verify correctness before final submission.
- Isolated Algorithm Test Execution - Executes and verifies algorithm solutions within isolated containerized environments before final submission.
- Question Metadata Filters - Filters and searches for questions using attributes such as difficulty levels, completion status, and tags.
- Local Data Caches - Caches problem descriptions and metadata locally to enable offline browsing and reduce network requests.
- Session Persistence - Stores authentication tokens and state locally to maintain user identity across multiple command executions.
- Offline Caching - Provides mechanisms to store problem details locally for access without an active internet connection.
- CLI Plugin Architectures - Implements a modular architecture that allows developers to extend the CLI with third-party functionality.
- Session Task Tracking - Tracks individual problem-solving progress and completion status within isolated sessions.
- Session Persistence - Automatically re-authenticates when sessions expire to prevent work interruptions and manual logins.
- Multi-Account Session Management - Maintains and manages authenticated session states across multiple active agents.
- Plugin Installation and Management - Provides utilities to install, enable, disable, and remove third-party extensions.
- Plugin Integrations - Integrates third-party add-ons and custom scripts to extend the interface's functionality.
- Offline Content Downloaders - Retrieves and caches problem sets from web sources to enable offline algorithmic study.
- Plugin-Based Extensibility - Implements a modular architecture allowing third-party extensions to hook into core logic.
- Problem Solving Visualizations - Visualizes problem-solving progress through heatmaps, calendar views, and total completion counts.
- Curriculum Progress Tracking - Monitors the completion status of algorithmic milestones based on successful problem execution.
- Code Submission Retrievals - Retrieves historical source code submissions from the remote platform and saves them locally for review.
