searchcode vs Sourcegraph
No leader: the top candidate searchcode has only 0.32 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for code search. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
searchcode
A system that analyzes GitHub repositories to extract complexity metrics, language composition, and technology stack information. Designed for integration with AI editors via MCP protocol to enable code understanding without cloning repositories.
Sourcegraph
Sourcegraph enables developers to search across all their repositories, understand code dependencies and relationships, and coordinate large-scale changes. It includes AI-powered code assistance to help teams write and fix code faster.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- GitHub
searchcode
- Claude Code
- Cursor
- VS Code
- Copilot
- Claude Desktop
- OpenCode
- Crush
- Codex
- Gemini CLI
- Amp
- LM Studio
- Claude
- GPT
- Gemini
- Grok
- Kimi
- DeepSeek
- Mistral
- Qwen
- Llama
Sourcegraph
- Slack
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.