Supermaven ranks higher at 71/100 vs Prettier-Standard - JavaScript formatter at 39/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | Prettier-Standard - JavaScript formatter | Supermaven |
|---|---|---|
| Type | Extension | Extension |
| UnfragileRank | 39/100 | 71/100 |
| Adoption | 1 |
| 1 |
| Quality | 0 | 1 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Starting Price | — | $10/mo |
| Capabilities | 7 decomposed | 13 decomposed |
| Times Matched | 0 | 0 |
Formats entire JavaScript/TypeScript documents by applying Prettier's opinionated formatting rules combined with Standard linting conventions through the prettier-standard npm package. The extension hooks into VS Code's native formatting pipeline, detecting the project root to load .prettierrc configuration files, then applies deterministic AST-based transformations to normalize code style across indentation, spacing, semicolons, and quote preferences without requiring manual configuration of conflicting rules.
Unique: Combines Prettier's AST-based formatting engine with Standard's opinionated linting rules in a single extension, eliminating the need to manage two separate tools or resolve conflicting formatting directives between them
vs alternatives: Simpler than running Prettier and Standard separately because it resolves rule conflicts automatically, and more opinionated than standalone Prettier because it enforces Standard conventions without additional configuration
Formats only the selected text range within a document by parsing the selection boundaries, applying prettier-standard rules to just that code segment, and preserving the rest of the document unchanged. This works by extracting the selection from the editor state, running the formatter on that substring with appropriate context preservation (indentation level, scope awareness), and replacing only the selected range with formatted output.
Unique: Preserves document context and indentation levels when formatting selections by inferring scope from the selection start position, allowing developers to format code fragments without breaking surrounding code structure
vs alternatives: More precise than full-document formatting for collaborative editing because it limits changes to selected code, and more reliable than manual formatting because it still applies the full prettier-standard ruleset to the selection
Automatically triggers code formatting when a file is saved by hooking into VS Code's native `editor.formatOnSave` setting. The extension registers itself as a document formatter provider, intercepting save events and running prettier-standard formatting before the file is persisted to disk. This integration respects VS Code's editor configuration and can be toggled per-workspace or globally without requiring extension-specific settings.
Unique: Integrates with VS Code's native formatProvider API and respects the global `editor.formatOnSave` setting, avoiding the need for extension-specific configuration while maintaining compatibility with other formatters registered in the editor
vs alternatives: More transparent than pre-commit hooks because formatting happens immediately on save with visual feedback, and more reliable than manual formatting commands because it eliminates the possibility of forgetting to format before committing
Automatically detects and loads `.prettierrc` configuration files from the project root by traversing the directory tree from the current file's location upward until a `.prettierrc` file is found. This allows teams to define formatting rules once at the project level, and the extension applies those rules consistently across all files without requiring per-file or per-workspace configuration. The discovery respects VS Code's workspace root detection and handles monorepo structures by finding the nearest `.prettierrc` in the hierarchy.
Unique: Implements directory tree traversal to find the nearest .prettierrc file, enabling monorepo support and eliminating the need for per-workspace configuration while respecting VS Code's workspace root boundaries
vs alternatives: More flexible than hardcoded formatting rules because it allows teams to customize style per-project, and more convenient than manual configuration because it discovers .prettierrc automatically without requiring extension settings
Extends formatting capabilities beyond JavaScript to support TypeScript, JSX, TSX, JSON, CSS, SCSS, Less, GraphQL, Markdown, YAML, HTML, Vue, and other languages through Prettier's language plugin system. The extension detects the file type based on VS Code's language mode and routes the file to the appropriate Prettier parser, allowing developers to format heterogeneous codebases with a single tool. Configuration via .prettierrc applies language-specific rules (e.g., different indentation for YAML vs JavaScript).
Unique: Leverages Prettier's plugin architecture to support 15+ languages from a single extension, with language detection based on VS Code's language mode and unified configuration via .prettierrc for all supported languages
vs alternatives: More comprehensive than language-specific formatters because it handles heterogeneous codebases with one tool, and more maintainable than managing separate formatters for each language because configuration is centralized in .prettierrc
Exposes formatting operations through VS Code's Command Palette (accessible via Cmd+Shift+P on macOS or Ctrl+Shift+P on Windows/Linux) with commands like 'Format Document' and 'Format Selection'. This allows developers to trigger formatting on-demand without using keyboard shortcuts, making the feature discoverable and accessible to users who prefer menu-driven workflows. The command palette integration respects the current editor state and applies formatting to the active document or selection.
Unique: Registers formatting commands in VS Code's Command Palette using the standard formatProvider API, making formatting discoverable through the UI without requiring keyboard shortcut knowledge
vs alternatives: More discoverable than keyboard shortcuts for new users because commands appear in the command palette search, and more flexible than hardcoded keybindings because users can rebind commands to their preferred shortcuts
Provides keyboard shortcut access to formatting via the default VS Code format binding (Shift+Alt+F on Windows/Linux, Shift+Cmd+F on macOS). This allows developers to format code with a single keystroke without opening the command palette or using menu navigation. The shortcut respects the current editor state and applies formatting to the active document or selection based on whether text is selected.
Unique: Uses VS Code's standard format document keybinding (Shift+Alt+F), ensuring consistency with other formatters and eliminating the need for extension-specific keyboard configuration
vs alternatives: Faster than command palette access because it requires only a single keystroke, and more consistent with VS Code conventions because it uses the standard format binding that users expect from any formatter
Generates single-line and multi-line code suggestions in real-time as developers type, using semantic indexing of the entire codebase to retrieve relevant type definitions, function signatures, and contextual patterns. The system maintains a 1M token context window (Pro/Team tiers) that enables suggestions informed by distant code definitions and cross-file dependencies, constructed via local codebase semantic search rather than simple token-based recency. Suggestions adapt to detected coding style on Pro/Team tiers through implicit pattern learning from recent edits.
Unique: 1M token context window with codebase-wide semantic indexing enables suggestions informed by distant code definitions and cross-file patterns, versus competitors (Copilot, Tabnine) that typically use fixed context windows (4K-32K tokens) or file-local context. Claimed 250ms latency suggests optimized retrieval pipeline, though indexing mechanism and performance at scale remain undisclosed.
vs alternatives: Larger context window than GitHub Copilot (8K-32K tokens) and faster latency than unnamed competitors (250ms vs 783ms claimed), enabling suggestions on large codebases with minimal typing delay; trade-off is cloud dependency and undisclosed free tier limitations.
Provides a separate chat interface supporting multiple LLM backends (GPT-4o, Claude 3.5 Sonnet, GPT-4, others) for conversational code assistance. Users attach files, reference recent edits, and trigger compiler diagnostic uploads; the system generates diffs and applies code changes directly to the editor. Model selection is per-conversation, and $5/month in credits (included in Pro/Team) covers external model API costs; overage pricing is undisclosed. Hotkey-driven workflow enables rapid context switching between inline completion and chat.
Unique: Multi-model chat interface with per-conversation model selection and integrated diff application, combined with compiler diagnostic auto-upload. Unlike Copilot Chat (single model per tier) or standalone ChatGPT, Supermaven Chat unifies multiple LLM backends in a single hotkey-driven workflow with direct editor integration for change application.
Supermaven scores higher at 71/100 vs Prettier-Standard - JavaScript formatter at 39/100. Prettier-Standard - JavaScript formatter leads on adoption and ecosystem, while Supermaven is stronger on quality.
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vs alternatives: Supports multiple LLM backends (GPT-4o, Claude 3.5 Sonnet) in one interface with included credits, whereas GitHub Copilot Chat is single-model per tier and requires separate ChatGPT subscription for model switching; trade-off is credit limits and unknown overage pricing.
Supermaven Chat can automatically upload compiler diagnostic messages (errors, warnings) alongside code context to provide error-aware suggestions and fixes. The mechanism is described as 'automatically uploading your code together with compiler diagnostic messages,' but specific language/compiler support and the upload trigger mechanism are undisclosed. This feature is Chat-only and not available in inline completion.
Unique: Automatic compiler diagnostic upload in Chat for error-aware suggestions, versus competitors (Copilot, Tabnine) that require manual error context or have limited diagnostic integration. Supermaven's approach reduces friction but with undisclosed language/compiler support.
vs alternatives: Automatic diagnostic upload reduces manual context-gathering compared to manual copy-paste; trade-off is undisclosed language support and unclear upload trigger mechanism.
Supermaven offers a 30-day free trial of the Pro tier ($10/month), providing full access to 1M token context window, largest model, style adaptation, and $5/month chat credits. No credit card is required to start the trial (implied), and trial conversion to paid is automatic after 30 days unless cancelled. Trial terms and auto-renewal policy are not explicitly detailed.
Unique: 30-day free trial of Pro tier with full feature access (1M context, largest model, chat credits), versus competitors (Copilot 2-month free trial, Tabnine free tier only) with different trial lengths and feature access. Supermaven's approach is generous but with undisclosed auto-renewal terms.
vs alternatives: Full Pro feature access during trial compared to limited free tier; trade-off is undisclosed auto-renewal policy and potential unexpected charges if not cancelled.
Supermaven requires internet connectivity and server-side inference; no offline mode or local inference capability is mentioned or available. All code completion requests are sent to Supermaven's backend servers for processing, and responses are returned over the network. This creates a hard dependency on network connectivity and Supermaven's service availability; if the service is down or network is unavailable, code completion is not available.
Unique: Supermaven has no offline mode or local inference capability; all processing is server-side. GitHub Copilot also requires server-side inference, but Tabnine offers local inference options for some use cases. Supermaven's lack of offline capability is a significant limitation for developers with connectivity constraints.
vs alternatives: Supermaven's server-side-only approach is comparable to GitHub Copilot; Tabnine offers local inference options, making Tabnine more suitable for offline work. Supermaven's lack of offline capability is a weakness vs. Tabnine.
Analyzes recent code edits and inferred coding patterns to adapt inline suggestions to match team conventions, naming patterns, and structural preferences. The mechanism is implicit (not explicit fine-tuning) and operates only on Pro/Team tiers, suggesting pattern learning from editor activity rather than explicit configuration. Free tier uses a single base model without personalization.
Unique: Implicit style adaptation via editor activity analysis without explicit configuration, versus competitors (Copilot, Tabnine) that require manual style guides or explicit fine-tuning. Supermaven's approach is transparent to the user but also non-configurable and undisclosed in mechanism.
vs alternatives: Requires no manual style configuration compared to tools requiring explicit style guides; trade-off is lack of transparency and inability to control or export learned styles.
Delivers code suggestions to the editor inline as the developer types, with a claimed baseline latency of 250ms from keystroke to suggestion display. The system uses a cloud inference backend and local editor plugin to minimize round-trip time. Latency claim is positioned against an unnamed competitor (783ms), but methodology is undisclosed and no independent verification is provided.
Unique: Claimed 250ms latency via optimized cloud inference pipeline and editor plugin architecture, versus competitors with higher latency (783ms unnamed baseline). Actual differentiation is undisclosed; mechanism may involve request batching, model quantization, or edge caching, but specifics are not public.
vs alternatives: Faster than unnamed competitor (250ms vs 783ms claimed); trade-off is cloud dependency and unverified latency claim with no SLA or performance guarantee.
Provides native editor extensions for VS Code, JetBrains IDEs (IntelliJ IDEA, PyCharm, WebStorm, etc.), and Neovim, enabling inline suggestion rendering, hotkey-driven chat access, and compiler diagnostic integration directly within the editor. Each plugin variant is maintained separately and integrates with the editor's native autocomplete UI, keybinding system, and file context APIs.
Unique: Native plugins for three major editor ecosystems (VS Code, JetBrains, Neovim) with integrated chat and diff application, versus competitors (Copilot, Tabnine) that support broader editor ecosystems but with less deep integration in some cases. Supermaven's approach prioritizes depth over breadth.
vs alternatives: Deep integration with VS Code and JetBrains (native autocomplete UI, hotkey system) compared to web-based tools or lighter integrations; trade-off is limited editor support (no Sublime, Vim, Emacs) and undisclosed Neovim support details.
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