News
December 02, 2025 – Version 5.7 released
The 5.7 release is likely to be the last update of the year. As always, this release incorporates valuable external contributions, for which we are grateful.
The most significant addition brought by this release is the support offset attributes, which allow minor visual adjustments to be encoded directly. This approach is recommended for edge cases or highly complex layout scenarios where automatic layout is problematic. The test suite includes examples, such as slurs, ties, and hairpins, showing how offsets can improve engraving results without requiring extensive manual positioning.
September 09, 2025 – Version 5.6 released
The changes introduced in release 5.6 are mostly small fixes and improvements, …
News
December 02, 2025 – Version 5.7 released
The 5.7 release is likely to be the last update of the year. As always, this release incorporates valuable external contributions, for which we are grateful.
The most significant addition brought by this release is the support offset attributes, which allow minor visual adjustments to be encoded directly. This approach is recommended for edge cases or highly complex layout scenarios where automatic layout is problematic. The test suite includes examples, such as slurs, ties, and hairpins, showing how offsets can improve engraving results without requiring extensive manual positioning.
September 09, 2025 – Version 5.6 released
The changes introduced in release 5.6 are mostly small fixes and improvements, particularly in the timemap and MIDI output, and some data importers.
One notable enhancement is the improved layout of editorial (cautionary) accidentals. This new approach allows for more refined positioning, especially when they appear close to slurs. We may extend this method to other elements in the future.
Another addition in version 5.6 is a Python wheel for Ubuntu arm64. This makes it possible to use Verovio on that platform without requiring a lengthy build process.
Verovio is developed by the RISM Digital Center with the support of the Swiss National Science Foundation. The project receives dedicated financial support from the Digital Mozart Edition, a joint project of the Salzburg Mozarteum Foundation and the Packard Humanities Institute, Los Altos/CA. It also received in-kind support from the Saxon Academy of Sciences in Leipzig from 2017 to 2019.
The source code is available on GitHub under the LGPLv3 license.
Many thanks to all the contributors