| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 15 decomposed | 5 decomposed |
| Times Matched | 0 | 0 |
Enables developers to write HTTP requests directly in `.http` and `.rest` files using a plain-text syntax with `###` delimiters separating multiple requests. Each request is parsed by the extension's lexer, validated against HTTP RFC 2616, and executed within the VS Code process without leaving the editor. The extension renders responses in a split-pane view with syntax highlighting for JSON, XML, and other content types, eliminating the need for external HTTP clients like Postman or curl.
Unique: Integrates HTTP request execution directly into the editor as first-class syntax rather than a separate panel or tool, using VS Code's native split-pane rendering and CodeLens links to make requests immediately actionable without context switching.
vs alternatives: Faster than Postman for API testing during development because requests live in version-controlled files and execute with a single click, eliminating tool switching and collection management overhead.
Implements a hierarchical variable resolution system supporting environment variables, file-level variables, request-level variables, and prompt variables. The extension provides 8 built-in dynamic variable types ({{$guid}}, {{$timestamp}}, {{$randomInt}}, {{$datetime}}, {{$localDatetime}}, {{$processEnv}}, {{$dotenv}}, {{$aadToken}}) that generate values at request time. Variables are substituted into URLs, headers, and request bodies using mustache-style syntax ({{variableName}}), with auto-completion, hover documentation, and diagnostic validation integrated into the editor.
Unique: Combines environment-scoped variables with inline dynamic generators ({{$guid}}, {{$timestamp}}) and system integration ({{$processEnv}}, {{$dotenv}}) in a single variable syntax, enabling both static configuration and runtime value generation without external scripting.
vs alternatives: More flexible than curl's environment variable support because it supports multiple scopes, dynamic generation, and interactive prompts; simpler than Postman's variable system because syntax is plain text and integrates directly with VS Code's editor features.
Automatically captures and stores cookies from HTTP responses (Set-Cookie headers) and includes them in subsequent requests (Cookie header). The extension maintains a cookie jar per host/domain, respecting cookie attributes like Path, Domain, Expires, and HttpOnly. Developers can view, edit, and clear cookies manually. This enables testing stateful APIs that rely on session cookies without manual cookie extraction and header manipulation.
Unique: Automatically manages cookies without explicit configuration, capturing Set-Cookie headers and injecting Cookie headers in subsequent requests, respecting cookie attributes and domain scoping.
vs alternatives: More convenient than curl because cookie handling is automatic; more transparent than Postman because cookie jar is visible and editable in the extension.
Allows developers to configure HTTP and HTTPS proxies for request routing, enabling testing through corporate proxies, VPNs, or traffic inspection tools. Proxy settings are configured in VS Code settings and applied to all requests. The extension supports proxy authentication (Basic Auth) and proxy bypass rules for specific hosts. This enables developers behind corporate firewalls to test external APIs without manual proxy configuration per request.
Unique: Integrates proxy configuration directly into VS Code settings, applying to all requests without per-request configuration, supporting proxy authentication and bypass rules.
vs alternatives: More integrated than curl because proxy settings are centralized in VS Code; more convenient than manual proxy configuration because settings apply globally to all requests.
Generates executable code snippets in Python, JavaScript, and other languages from composed HTTP requests. The extension analyzes the request (method, URL, headers, body, authentication) and generates equivalent code using popular HTTP libraries (requests for Python, fetch for JavaScript, etc.). Generated snippets include proper error handling, header construction, and authentication setup. This enables developers to quickly convert REST Client requests into production code without manual translation.
Unique: Generates executable code snippets from REST Client requests with proper library imports and error handling, supporting multiple languages without external tools or services.
vs alternatives: More integrated than manual code writing because generation is automatic; more convenient than Postman's code generation because snippets are generated directly from REST Client syntax.
Provides syntax highlighting for HTTP request syntax (methods, headers, URLs, request bodies) and response content (JSON, XML, HTML, plain text). The extension integrates CodeLens actionable links directly in the editor, displaying 'Send Request' links above each request block that developers can click to execute. Syntax highlighting extends to comments, variable references, and request delimiters (###). Auto-completion suggests HTTP methods, headers, MIME types, and variable names as developers type.
Unique: Integrates CodeLens actionable links directly above request blocks, enabling one-click execution without keyboard shortcuts or menu navigation, combined with syntax highlighting and auto-completion.
vs alternatives: More integrated than curl because syntax highlighting and execution links are built into the editor; more accessible than Postman because CodeLens provides visual cues for executable requests.
Provides VS Code symbol navigation (Ctrl+Shift+O) to jump to request definitions and file-level variable declarations within `.http` files. Developers can use 'Go to Definition' to navigate to variable definitions and 'Find All References' to locate all usages of file-level variables. This enables quick navigation in large request files with many requests and variables, improving code organization and refactoring.
Unique: Integrates VS Code's native symbol navigation and reference tracking for HTTP requests and variables, enabling developers to use familiar editor shortcuts (Ctrl+Shift+O, F12) for request and variable navigation.
vs alternatives: More integrated than external HTTP clients because navigation uses VS Code's native features; more powerful than curl because variable references are tracked and navigable.
Supports 6 authentication mechanisms: Basic Auth (base64-encoded credentials in Authorization header), Digest Auth (RFC 2617 challenge-response), SSL Client Certificates (file-based), Azure Active Directory (interactive browser-based token flow with cloud environment selection), Microsoft Identity Platform (tenant-aware token generation), and AWS Signature v4 (request signing). Azure AD tokens are generated via {{$aadToken}} variable with parameters for cloud environment (public, cn, de, us, ppe), tenant ID, and audience specification, with token caching behavior unknown.
Unique: Integrates cloud identity providers (Azure AD, Microsoft Identity) directly into the HTTP client via {{$aadToken}} variable syntax, enabling token generation without external authentication flows or manual token copying, combined with support for legacy auth methods (Basic, Digest, SSL).
vs alternatives: More integrated than curl for cloud authentication because it handles Azure AD token generation interactively within the editor; more convenient than Postman for developers already in VS Code because authentication is configured in settings.json and variables are substituted automatically.
+7 more capabilities
GitHub Copilot leverages the OpenAI Codex to provide real-time code suggestions based on the context of the current file and surrounding code. It analyzes the syntax and semantics of the code being written, utilizing a transformer-based architecture that allows it to understand and predict the next lines of code effectively. This context-awareness is enhanced by its ability to learn from the user's coding style over time, making suggestions more relevant and personalized.
Unique: Utilizes a transformer model trained on a diverse dataset of public code repositories, allowing for nuanced understanding of coding patterns.
vs alternatives: More contextually aware than traditional autocomplete tools due to its deep learning foundation and extensive training data.
Copilot supports multiple programming languages by employing a language-agnostic model that can generate code snippets across various languages. It identifies the programming language in use through file extensions and syntax cues, allowing it to adapt its suggestions accordingly. This capability is powered by a unified model that has been trained on code from numerous languages, enabling seamless transitions between different coding environments.
Unique: Employs a single model architecture that can generate code across various languages without needing separate models for each language.
vs alternatives: More versatile than many IDE-specific tools that only support a limited set of languages.
GitHub Copilot can generate entire functions or methods based on comments or partial code snippets provided by the user. It interprets the intent behind the comments, using natural language processing to translate user descriptions into functional code. This capability is particularly useful for boilerplate code generation, allowing developers to focus on more complex logic while Copilot handles repetitive tasks.
REST Client scores higher at 59/100 vs GitHub Copilot at 47/100.
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Unique: Integrates natural language understanding to convert user comments into structured code, enhancing productivity in function creation.
vs alternatives: More intuitive than traditional code generators that require explicit parameters and structures.
Copilot enables real-time collaboration by providing suggestions that adapt to the contributions of multiple developers in a shared coding environment. It processes input from all collaborators and generates contextually relevant suggestions that consider the collective coding style and ongoing changes. This feature is particularly beneficial in pair programming or team coding sessions, where maintaining coherence in code style is crucial.
Unique: Utilizes a shared context mechanism to provide collaborative suggestions, enhancing team productivity and code coherence.
vs alternatives: More effective in collaborative settings than static code completion tools that do not account for multiple contributors.
GitHub Copilot can generate documentation comments for functions and classes based on their implementation and purpose inferred from the code. It analyzes the code structure and uses natural language generation to create clear, concise documentation that explains the functionality. This capability helps developers maintain better documentation practices without requiring additional effort.
Unique: Combines code analysis with natural language generation to produce documentation that is directly relevant to the code's context.
vs alternatives: More integrated than standalone documentation tools that require separate input and context.