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ddgs vs semble
ddgs logo
ddgs
★ 2.7k
vs
semble logo
semble
★ 4.5k

ddgs vs semble

ddgs: DDGS (Dux Distributed Global Search) is a Python metasearch library designed to aggregate search results from various web search engines. It offers functionalities for text, image, video, news, and book searches, available through both a command-line interface and an API server with MCP integration.; 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

ddgs logoChoose ddgs if…

Performing comprehensive web searches across multiple engines

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
ddgs logoddgs
semble logosemble
Category
API Integration
RAG / Knowledge Base
Stars
★ 2.7k
★ 4.5k
License
MIT
MIT
Updated
1w ago
2d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
api, ddgs, mcp
agents, code-search, embeddings
03

Features

ddgs logoddgs
01Aggregates results from diverse web search services
02Supports various search types: text, images, videos, news, books
03Offers both CLI and API server options
04Integrates with MCP for AI assistance
05Lazy-loaded DDGS class for efficient use
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

ddgs logoddgs
↳Performing comprehensive web searches across multiple engines
↳Integrating advanced search capabilities into AI assistance applications
↳Automating data collection and aggregation from diverse online sources
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

ddgs logoddgs
API IntegrationData Processing
semble logosemble
Code AssistantRAG / Knowledge Base
FAQ

FAQ

What is the difference between ddgs and semble?
Both ddgs and semble are in the API Integration category. ddgs has 2.7k stars, while semble has 4.5k stars.
Which is better, ddgs or semble?
The best choice depends on your use case. Choose ddgs if Performing comprehensive web searches across multiple engines, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is ddgs free or open source?
Yes, ddgs is open source on GitHub (MIT).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
→

Related

Alternatives to ddgs →Alternatives to semble →ddgs details →semble details →
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