REPOSITORY DOSSIER  ·  github.com

langchain-ai/langchain

2,721 files 19 languages 378,137 total lines @9db9628 analysed just now

01Overview

langchain · 300,422 lines of actual code
2,721
Files
300,422
Code lines
37,249
Comments
19
Languages
16,184
Complexity
0
Secrets
Line Composition 378,137 total lines
Code300,42279.4%
Blank40,46610.7%
Comments37,2499.9%
~99%
tokens saved
Reading langchain-ai/langchain via an LLM
~2.1M tokens ~1.4k tokens via code_analyze

The entire repo summarised by code_analyze — structured JSON in <2k tokens. The dossier above is built from one call. Drill into specifics with code_search.

02Languages & Tech Stack

what it’s written in, what it depends on

Language Breakdown

Language
Files
Code
Share
Python
2,478
283,478
94.4%
JSON
45
5,642
1.9%
YAML
42
4,486
1.5%
TOML
24
2,737
0.9%
Makefile
22
1,068
0.4%
Markdown
28
1,010
0.3%
License
18
306
0.1%
JavaScript
2
235
0.1%
Extensible Stylesheet Language Transformations
3
200
0.1%
+ 10 more
554
·

03Notable Files

where complexity and size live

04Code Quality

style, correctness, and maintainability findings

By Severity & Category

Warning
0
Info
35
Error
0
Total
3,674
By Category
correctness 17 maintainability 18

Top Findings

Ensure functions have docstrings for documentation ×2
Avoid unnecessary list conversions; use generators where possible ×3

05Secrets & Credentials

pattern-based scan for hardcoded secrets
✓   No hardcoded credentials or secret patterns detected. Pattern-based scan only — does not catch logic-level vulnerabilities.

Scan another repository

Drop any public git URL or owner/repo shorthand.

Or compare langchain-ai/langchain against another repo:

Or use the API directly: curl https://api.searchcode.com/api/v1/code_analyze  ·  Add to your MCP client