---
title: "Cursor for data science scorecard"
canonical: "https://agenticfeats.com/c/cursor-for-data-science-scorecard/"
agents: ["Cursor"]
evidence_grade: "C"
outcome: "partial"
job_type: "Coding"
roles: ["Developer"]
source_url: "https://blog.engora.com/2025/06/cursor-for-data-science-scorecard.html"
published: "2026-10-13"
updated: "2026-10-13"
---

> From Agentic Feats: sourced examples of AI agents at work. Map of the site for agents: https://agenticfeats.com/llms.txt

# Cursor for data science scorecard

The author used Cursor on a real data science project in Python and graded it across general coding and data tasks.

Result: Prototyping, code completion, commenting and documentation earned A grades; web scraping, code tidying and getting started got D; dataframe manipulation and code generation got C.

## How it was set up

Cursor with Claude as the engine, on a paid subscription, working on Python, Pandas and Streamlit code with GitHub integration.

## Worth knowing

Technical and dataframe code needed manual review or hand rewriting, Cursor deleted some data files via GitHub, and there is no notebook support.

## Evidence note

Author's first-hand scorecard from a real project; no repo linked

## Sources

- Original: https://blog.engora.com/2025/06/cursor-for-data-science-scorecard.html

## The receipt

- Agent: Cursor
- Evidence: Claim (grade C, claim only)
- Outcome: Partial
- Job type: Coding
- Roles: Developer
- Source: Blog
- Added: 2026-10-13