indxr
★ 66
vs
daml
★ 899
indxr vs daml
indxr: indxr gives AI coding agents a structural map of codebases, reducing token costs by ~5x compared to reading full files. It supports 27 languages, provides a 22-tool MCP server for live queries, and features incremental caching, git structural diffing, and dependency graphs. Setup is one-command with `indxr init` for popular AI coding agents.; daml: Cannot extract a summary from the provided README content as it only references another file.
01
TL;DR
Choose indxr if…AI coding agents understanding a codebase without full file reads
Choose daml if…focusing on Trending
02
Side-by-Side Comparison
03
Features
indxr0127 languages support (tree-sitter for 8, regex for 19)
0222-tool MCP server for live codebase queries
03Token-aware truncation with ~5x reduction
04Git structural diffing at declaration level
05Dependency graphs (DOT, Mermaid, JSON)
daml—
04
Use Cases
indxr↳AI coding agents understanding a codebase without full file reads
↳Debugging and exploring dependencies between files and symbols
↳Automated codebase health reporting and complexity analysis
daml—
05
Best For
indxrTrendingAPI Integration
damlTrendingEssential
FAQ
FAQ
What is the difference between indxr and daml?
Both indxr and daml are in the Dev Tooling category. indxr has 66 stars, while daml has 899 stars.
Which is better, indxr or daml?
The best choice depends on your use case. Choose indxr if AI coding agents understanding a codebase without full file reads, and daml if focusing on Trending.
Is indxr free or open source?
Yes, indxr is open source on GitHub (MIT).
Is daml free or open source?
Yes, daml is open source on GitHub.
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