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. Please find the most recent version of ManiVault at [manivault.studio][1] and [github.com/ManiVaultStudio][2]. 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 bundles 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`. Up-to-date release versions of the software are available via [manivault.studio][1]. 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. [1]: https://www.manivault.studio/ [2]: https://github.com/ManiVaultStudio/