These supplemental materials accompany the paper "**ManiVault: A Flexible and Extensible Visual Analytics Framework for High-Dimensional Data**" to be published at IEEE VIS 2023. A preprint is available on https://arxiv.org/abs/2308.01751.
The supplemental material consists of:
1. Benchmark results regarding speed and memory consumption (S1) and a larger version of Fig. 11 (S2): `./supplemental_S1_S2`
2. Raw benchmark data: `./benchmark_data`
3. Python code used to obtain benchmark comparisons: `./benchmark_code`
4. Two videos showcasing the two example projects presented in sections 6.1 and 6.2: `./example_videos`
5. An installer of a pre-release version of ManiVault for Windows, which bundels the core application and all presented plugins together with the two example projects that are discussed in sections 6.1 and 6.2: `./installer_windows`
6. Example projects as discussed in sections 6.1, 6.2 and 6.3: `./example_projects`
All supplemental material and a copy of the main paper is available at https://osf.io/9k6jw/.
Source code of the application and several plugins as well as installers for the software can be found at https://github.com/ManiVaultStudio.
