WolfXL Community
Edit existing Excel files from Python without losing formatting, with an openpyxl-compatible API. MIT licensed. In the committed historical read/write benchmark, WolfXL 2.0.8 measured 3.0-17.3x faster than openpyxl 3.1.5 (small-file gains vary).
WolfXL Community reads, writes, and edits Excel .xlsx and .xlsm workbooks
through the openpyxl API, with parsing, serialization, and cell storage
implemented in Rust. Modify mode saves the cells you change and keeps the rest
of the file, and calculate() covers common Excel functions in Python.
WolfXL Community is the maintained, MIT-licensed 2.0 release line for supported workbook creation, reading, writing, streaming exports, and existing-workbook edits. It is a free product, not a trial.
Install
python -m pip install wolfxl==2.0.16
Edit an existing workbook
from wolfxl import load_workbook
wb = load_workbook("report.xlsx", modify=True) # edit the existing file
wb["Summary"]["B2"] = 1500
print(wb.calculate()["Summary!B4"]) # 2450.0 from =SUM(B2:B3)
wb.save("report-updated.xlsx") # cells you did not touch keep their formatting
wb.close()
Modify mode saves the cells you change and preserves unchanged styles, charts,
and package parts within the documented boundaries; add keep_vba=True for
.xlsm macros. Since 2.0.10, calculate() followed by save() writes
supported formula results into the saved file's cached values; calculate again
after further edits, before saving.
Edit Excel in Python without losing formatting.
Compared with openpyxl
-
Same API for the covered surface. Most supported openpyxl-shaped code starts with one import change:
- from openpyxl import Workbook, load_workbook + from wolfxl import Workbook, load_workbook
openpyxl implements more of its own API, so review the compatibility matrix, the known limitations, and the openpyxl migration guide, then prove one representative workbook before replacing a production path.
-
Existing templates. On a sheet with an extension data validation and a sparkline, one cell edit saved by openpyxl 3.1.5 removed both;
load_workbook(path, modify=True)in WolfXL 2.0.2 kept both. -
Formulas. openpyxl stores formula text and never computes it; with
data_only=Trueit returns the value Excel last cached, orNonefor a file Excel never opened. WolfXL Communitycalculate()covers common functions only, in Python. Need results that match Excel? Commercial includes a native engine verified on 704 Excel-calculated cases (pricing). -
Large files. The current receipts record seconds and peak memory for large-workbook reads, writes, and edits.
-
Where openpyxl fits. openpyxl is pure Python and installs anywhere Python runs. WolfXL needs a published wheel for your platform or a Rust toolchain to build from source.
Performance, measured
WolfXL 2.0.8 versus openpyxl 3.1.5 on Apple M5 Pro, macOS 26.5.1, Python 3.13.9, median of five rounds: read and write speedups range from 3.0x on styled reads to 17.3x on multi-sheet bulk writes. The bulk paths use a different API shape from openpyxl's per-row or per-cell calls. End-to-end edit ratios are 2.4-2.7x and include verification with openpyxl; they are not included in the read/write headline.
All samples, workload boundaries, and reproduction commands are in the current results. These measurements are not a guarantee for every workbook and do not compare read speed with python-calamine or other read-only libraries. Small-file gains vary: the separate officelibs small-feature benchmark reports about 1.7x for reads and 2.4x for writes, outside this range.
Choose the right edition
Community is the free option when supported workbook I/O is sufficient. Commercial 2.1+ is a separate option for the following workflow requirements:
| Requirement | Community 2.0 line | Commercial 2.1+ |
|---|---|---|
| Supported workbook I/O | Included within the documented surface | Included |
| Native formula recalculation | Not included | Calculate a supported formula set |
| PDF or image rendering | Not included | Render supported output |
| Format conversion | Not included | Scope an evaluation |
| VBA or Power Query operations | Not included | Scope an evaluation |
| Production operations | Not included | Scope an evaluation |
| Support | Public Community documentation and issues | Scope an evaluation |
For existing-template work, review the bounded preservation approach. Coming from Aspose.Cells for Python? See when WolfXL fits instead. Use the local fit check to scope a representative-workbook test. Commercial self-service pricing is $30/month or $299/year for one seat.
1 maintainer
Metadata
1 maintainer
Release files for wolfxl 2.0.16
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| wolfxl-2.0.16.tar.gz | 11.7 MB | With provenance | Details |
Built distributions (wheels)
Total release size: 207.6 MB
Release files / wolfxl-2.0.16.tar.gz
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| Tags | Source |
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