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teamxray vs semble
teamxray logo
teamxray
★ 15
vs
semble logo
semble
★ 4.5k

teamxray vs semble

teamxray: Team X-Ray transforms your repository into a team expertise map by analyzing git history. It discovers file experts, reveals collaboration patterns, and provides AI-powered management insights with features like bus factor risks and growth opportunities.; semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.

01

TL;DR

teamxray logoChoose teamxray if…

Identify the expert for a specific file to ask for code review or help

semble logoChoose semble if…

Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities

02

Side-by-Side Comparison

Field
teamxray logoteamxray
semble logosemble
Category
Dev Tooling
RAG / Knowledge Base
Stars
★ 15
★ 4.5k
License
MIT
MIT
Updated
2d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
azure-devops, chatgpt, github
agents, code-search, embeddings
03

Features

teamxray logoteamxray
01File Expert Discovery — Right-click any file to find who knows it best
02Team Expertise Analysis — AI-powered profiles with communication styles, specializations, and collaboration patterns
03Management Insights — Actionable recommendations: bus factor risks, growth opportunities, efficiency gaps
04GitHub Copilot SDK Integration — Uses the Copilot SDK with custom tools for deep, context-aware analysis
05Smart Fallback Chain — Copilot SDK → BYOK (OpenAI/Anthropic/Azure) → GitHub Models API → Local-only analysis
semble logosemble
01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
04

Use Cases

teamxray logoteamxray
↳Identify the expert for a specific file to ask for code review or help
↳Get a team expertise overview to discover knowledge gaps and bus factor risks
↳Generate management reports with AI-powered recommendations for team growth
semble logosemble
↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
05

Best For

teamxray logoteamxray
TrendingDev Tooling
semble logosemble
Code AssistantRAG / Knowledge Base
FAQ

FAQ

What is the difference between teamxray and semble?
Both teamxray and semble are in the Dev Tooling category. teamxray has 15 stars, while semble has 4.5k stars.
Which is better, teamxray or semble?
The best choice depends on your use case. Choose teamxray if Identify the expert for a specific file to ask for code review or help, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is teamxray free or open source?
Yes, teamxray is open source on GitHub (MIT).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
→

Related

Alternatives to teamxray →Alternatives to semble →teamxray details →semble details →
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