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by Mert Düzgün
MCP servers/Data & Analytics
furqan-khan07 avatar

pandas-doctor

furqan-khan07/pandas-doctor

Finds slow pandas code, checks rewrites give identical results on your data, measures speedups.

tools
3
transport
STDIO
last updated
Nov 12, 2026
View on GitHubSave

Tools

3 tools

Public tool metadata for what this MCP can expose to an agent.

check_codeFinds slow pandas patterns in code and suggests rewrites.

Finds slow pandas patterns in code and suggests rewrites.

No parameter schema in public metadata yet.

verify_rewriteVerifies that a candidate rewrite gives the same result as the original on the given setup data.

Verifies that a candidate rewrite gives the same result as the original on the given setup data.

No parameter schema in public metadata yet.

list_rulesLists the pandas-doctor rules.

Lists the pandas-doctor rules.

No parameter schema in public metadata yet.

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Readme

pandas-doctor

PyPI pandas-doctor MCP server

pandas-doctor finds the slow pandas lines in your code, rewrites them, and checks on your own data that the result is exactly the same. Then it tells you how much faster the rewrite was, measured, not guessed.

pandas-doctor run on a month of real NYC taxi trips

That's a real run on real data: examples/taxi/features.py on January 2024 of the NYC TLC yellow taxi trips (2.96 million rows), with the kind of loops a lot of notebooks have. The script took 96.6 s (M4 Pro, pandas 3.1.0 with pyarrow). pandas-doctor checked 5 rewrites on the script's own data, all identical and faster. After --fix the whole script runs in 1.64 s and prints exactly the same output. Full report in docs/taxi-run-full.txt.


View the full README on GitHub

Details

Repository
github.com/furqan-khan07/pandas-doctor
Category
Data & Analytics
Package
pandas-doctor
Transport
STDIO
Registry
MCP registry, active

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