rust_xlsxwriter
The rust_xlsxwriter library is a Rust crate for writing Excel files in the
xlsx format.
The rust_xlsxwriter crate can be used to write text, numbers, dates, and
formulas to multiple worksheets in a new Excel 2007+ .xlsx file. It has a
focus on performance and fidelity with the file format created by Excel. It
cannot be used to modify an existing file.
Example
Sample code to generate the Excel file shown above.
use *;
rust_xlsxwriter is a rewrite of the Python XlsxWriter library in Rust
by the same author, with additional Rust-like features and APIs. The
supported features are:
- Support for writing all basic Excel data types.
- Full cell formatting support.
- Formula support, including new Excel 365 dynamic functions.
- Charts.
- Hyperlink support.
- Page/Printing Setup support.
- Merged ranges.
- Conditional formatting.
- Data validation.
- Cell Notes.
- Textboxes.
- Checkboxes.
- Sparklines.
- Worksheet PNG/JPEG/GIF/BMP images.
- Rich multi-format strings.
- Outline groupings.
- Defined names.
- Autofilters.
- Worksheet Tables.
- Serde serialization support.
- Support for macros.
- Memory optimization mode for writing large files.
Rationale
The rust_xlsxwriter crate was designed and implemented based around the
following design considerations:
- Fidelity with the Excel file format. The library uses its own XML writer module in order to be as close as possible to the format created by Excel. It also contains a test suite of over 1,000 tests that compare generated files with those created by Excel. This has the advantage that it rarely creates a file that isn't compatible with Excel, and also that it is easy to debug and maintain because it can be compared with an Excel sample file using a simple diff.
- A family of libraries. The
rust_xlsxwriterlibrary has sister libraries written in C (libxlsxwriter), Python (XlsxWriter), and Perl (Excel::Writer::XLSX), by the same author. Bug fixes and improvements in one get transferred to the others. - Performance. The library is designed to be as fast and efficient as possible. It also supports a constant memory mode for writing large files, which keeps memory usage to a minimum.
- Comprehensive documentation. In addition to the API documentation, the library has extensive user guides, a tutorial, and a cookbook of examples. It also includes images of Excel with the output of most of the example code.
- Feature richness. The library supports a wide range of Excel features, including charts, conditional formatting, data validation, rich text, hyperlinks, images, and even sparklines. It also supports new Excel 365 features like dynamic arrays and spill ranges.
- Write only. The library only supports writing Excel files, and not reading or modifying them. This allows it to focus on doing one task as comprehensively as possible.
- No FAQ section. The Rust implementation seeks to avoid some of the
required workarounds and API mistakes of the other language variants. For
example, it has a
save()function, automatic handling of dynamic functions, a much more transparent Autofilter implementation, and was the first version to have Autofit.
Performance
As mentioned above the rust_xlsxwriter library has sister libraries
written natively in C, Python, and Perl.
A relative performance comparison between the C, Rust, and Python versions is shown below. The Perl performance is similar to the Python library, so it has been omitted.
| Library | Relative to C | Relative to Rust |
|---|---|---|
| C/libxlsxwriter | 1.00 | |
rust_xlsxwriter |
1.14 | 1.00 |
| Python/XlsxWriter | 4.36 | 3.81 |
The C version is the fastest: it is 1.14 times faster than the Rust version and 4.36 times faster than the Python version. The Rust version is 3.81 times faster than the Python version.
See the Performance section for more details.
Crate Features
The following is a list of the features supported by the rust_xlsxwriter
crate.
Default
default: This includes all the standard functionality. The only dependency is thezipcrate.
rust_xlsxwriter can be added to a Rust project as follows:
Optional features
These are all off by default.
constant_memory: Keeps memory usage to a minimum when writing large files. See Constant Memory Mode.serde: Adds support for Serde serialization.chrono: Adds support for Chrono date/time types to the API. See [IntoExcelDateTime].jiff: Adds support for Jiff date/time types to the API. See [IntoExcelDateTime].zlib: Improves performance of thezlibcrate but adds a dependency on zlib and a C compiler. This can be up to 1.5 times faster for large files.polars: Adds support for mapping betweenPolarsErrorandrust_xlsxwriter::XlsxErrorto make code that handles both types of errors easier to write. See alsopolars_excel_writer.wasm: Adds a dependency onjs-sysandwasm-bindgento allow compilation for wasm/JavaScript targets. See also wasm-xlsxwriter.rust_decimal: Adds support for writing therust_decimalDecimaltype withWorksheet::write(), provided it can be represented by [f64].ryu: Adds a dependency onryu. This speeds up writing numeric worksheet cells for large data files. It gives a performance boost for more than 300,000 numeric cells and can be up to 30% faster than the default number formatting for 5,000,000 numeric cells.
A rust_xlsxwriter feature can be enabled in your Cargo.toml file as
follows:
Release notes
Recent changes:
- Added support for
Jiffdate/time civil types. - Added worksheet outline groupings.
- Added worksheet background images.
See the full Release Notes and Changelog.
See also
- User Guide: Working with the
rust_xlsxwriterlibrary.- Getting started: A simple getting started guide on how to use
rust_xlsxwriterin a project and write a Hello World example. - Tutorial: A larger example of using
rust_xlsxwriterto write some expense data to a spreadsheet. - Cookbook.
- Getting started: A simple getting started guide on how to use
- The rust_xlsxwriter crate.
- The rust_xlsxwriter API docs at docs.rs.
- The rust_xlsxwriter repository.
- Roadmap of planned features.