This paper describes OpenSpyrit, an open access and open source ecosystem for reproducible research in hyperspectral single-pixel imaging, composed of SPAS (a Python single-pixel acquisition software), SPYRIT (a Python single-pixel reconstruction toolkit) and SPIHIM (a single-pixel hyperspectral image collection). The proposed OpenSpyrit ecosystem responds to the need for reproducibility in single-pixel imaging, which is currently lacking due to limited access to data and reconstruction algorithms. The SPIHIM collection currently contains 140 hypercubes that are acquired using SPAS and reconstructed using SPYRIT. The SPIHIM hypercubes are obtained by inverse Hadamard transformation of the raw data. They have a size of 64 × 64 × 2048 for a spectral resolution of 2.3 nm and a spatial resolution that is comprised between 182.4 µm and 15.2 µm depending on the digital zoom. We also reconstruct the hypercubes at a resolution of 128 × 128 × 2048 using a data-driven reconstruction algorithm available in SPYRIT, which leads to an increased spatial resolution.