openpyxlvspandas
How 10 AI models weigh openpyxl against pandas on the 2 buying questions where both came up.
- openpyxl
- 59%of answers named it
- pandas
- 53%of answers named it
- Placed higher
- 45–3times openpyxl vs pandas, over 48 model rankings that listed either
- Models leaning
- 10–0toward openpyxl vs pandas
Which models prefer which
Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 2 shared questions, every wording
| Model | openpyxl | pandas | Placed higher | Leans |
|---|---|---|---|---|
| Claude Haiku 5.5 | 50% | 56% | 4–0 | openpyxl |
| GPT-6 Luna | 56% | 63% | 4–2 | openpyxl |
| Gemini 4 Argon | 50% | 50% | 3–1 | openpyxl |
| Qwen 3.8 Flash | 63% | 50% | 4–0 | openpyxl |
| DeepSeek V4 Pro | 81% | 56% | 6–0 | openpyxl |
| GLM-5.3 | 56% | 50% | 4–0 | openpyxl |
| Kimi K3 | 50% | 50% | 4–0 | openpyxl |
| MiniMax M3 | 63% | 56% | 5–0 | openpyxl |
| Mistral Large 4 | 63% | 50% | 5–0 | openpyxl |
| Nemotron 3 Ultra | 63% | 50% | 6–0 | openpyxl |
What the models say about openpyxl
One reason per model, from the shared questions
- Claude Haiku 5.5
Most popular pure-Python library for reading and editing xlsx files with formatting.
- GPT-6 Luna
Best general-purpose choice for reading and editing modern .xlsx files with a clear, mature API.
- Gemini 4 Argon
The gold standard for comprehensive reading, editing, and formatting of modern xlsx files.
- Qwen 3.8 Flash
De facto standard for reading and writing .xlsx files in Python.
- DeepSeek V4 Pro
Best all-around for .xlsx reading/writing, styling, and charts without Excel installed.
- GLM-5.3
Best-in-class engine for reading/writing xlsx with rich formatting and performance.
- Kimi K3
The gold standard for full xlsx read/write control without Excel installed.
- MiniMax M3
De facto standard for reading/writing modern .xlsx files.
- Mistral Large 4
The go-to standard for reading and writing .xlsx files in pure Python.
- Nemotron 3 Ultra
Most popular for .xlsx read/write with full features
What the models say about pandas
One reason per model, from the shared questions
- Claude Haiku 5.5
Best for data analysis; reads and writes Excel via openpyxl or xlsxwriter engines.
- GPT-6 Luna
Excellent for tabular imports, transformations, and exports, especially alongside openpyxl.
- Gemini 4 Argon
Unmatched data analysis capabilities with effortless reading and writing via unified Excel wrappers.
- Qwen 3.8 Flash
Most common way to read Excel into dataframes; edit via export.
- DeepSeek V4 Pro
Unmatched for data analysis, bulk reading, and quick Excel I/O via its ExcelWriter.
- GLM-5.3
Great for data analysis; converts Excel to dataframes easily.
- Kimi K3
Best for data analysis workflows; read_excel/to_excel cover most practical needs.
- MiniMax M3
Excel I/O built-in, ideal for data analysis workflows.
- Mistral Large 4
Essential for Excel data analysis; read_excel and to_excel are incredibly convenient.
- Nemotron 3 Ultra
Best for data analysis workflows with Excel I/O
Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.
Question by question
Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first
| Question | openpyxl | pandas |
|---|---|---|
| Best Python libraries for reading and editing Excel files | 100% #1 | 100% #1 |
| Best Python libraries for PowerPoint files | 19% #10 | 6% #23 |
| Best SDKs for AI agents that handle Office and PDF files | 29% #6 | · |