Iteration Layer vs OpenPyXL
OpenPyXL is the standard Python spreadsheet library — essential if your stack is Python, a dependency if it isn't.
Why developers switch from OpenPyXL
openpyxl means writing cell-by-cell Python code and hosting the service yourself.
Any language, not just Python
OpenPyXL is Python-only. If your backend is Go, Node.js, Elixir, or Java, generating Excel files requires a Python subprocess or sidecar. Our API accepts JSON from any language with HTTP support.
No Python environment to manage
OpenPyXL requires a Python environment with the correct package versions. In production, that means managing a virtualenv or Docker image for spreadsheet generation. We are a managed API: one endpoint, one request.
Declarative JSON, not cell-by-cell iteration
OpenPyXL requires building workbooks row by row: create workbook, create worksheet, iterate rows, set cell values, apply styles. Our JSON payload describes the entire sheet structure declaratively.
Feature-by-feature comparison
We went through the docs so you don't have to. Here's how every feature compares — including the ones where we're not the better choice.
| Feature | Iteration Layer | OpenPyXL |
|---|---|---|
| Formula support |
Yes
Generate spreadsheets with Excel-compatible formulas |
Yes
Full formula support through programmatic API calls |
| Multi-sheet support |
Yes
Generate workbooks with multiple named sheets |
Yes
Full multi-sheet workbook support with programmatic API |
| Output formats |
3 formats
XLSX, CSV, and Markdown output |
1 format
XLSX output only |
| Sheet definition style |
Declarative JSON
Entire spreadsheet described declaratively in a single JSON payload |
Imperative API
Spreadsheets built row by row with imperative cell-by-cell iteration |
| Open source |
Proprietary
Closed-source managed SaaS platform |
MIT license
Free and open source under the MIT license |
| Data science ecosystem |
HTTP API
Standard HTTP API without native data science library integration |
Native
Native integration with pandas and NumPy for data science workflows |
| Read & modify Excel |
Generation only
Generates new spreadsheets from JSON — does not read or modify existing files |
Read + write
Can read, modify, and write back existing Excel files |
| EU hosting |
EU only
All processing happens exclusively on EU-hosted servers |
Your choice
Runs on your infrastructure, so data residency depends on where you deploy |
| Pricing |
$0.033
1 credit per action |
Compute only
Self-hosted OSS |
| Infrastructure required |
None
Fully managed API with no Python environment, virtualenvs, or Docker images to manage |
Self-hosted
Requires managing a Python environment with the correct package versions in production |
| GDPR / Data privacy |
Zero retention
No files or results stored beyond temporary 90-day logs |
Your responsibility
Data privacy depends entirely on your deployment and infrastructure choices |
Pricing
Start usage-based. Switch to a subscription when your volume becomes predictable.
Usage-based
Graduated pricing. Your effective rate decreases automatically as monthly usage grows.
- No monthly commitment
- Pay only for credits used
- Automatic volume discounts as usage grows
Predictable volume
Fixed recurring credit packs with lower effective credit prices for steady usage.
- Lower effective per-credit prices
- Fixed recurring credit packs
- Predictable monthly budget
Still evaluating?
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