Ensuring the Continued Growth of pandas
To support the growth and health of pandas, the foundational library for tabular data structures in the Scientific Python Ecosystem, by funding continued maintenance and community building efforts.
Project Lead: Joris Van den Bossche (NumFOCUS)
Expand Interoperability of Hosted Scientific Documentation
To make scientific Python documentation more valuable by improving the user experience of linking between projects, and promote this ability within the scientific Python community.
Project Lead: Eric Holscher (Read the Docs, Inc)
Extending Galaxy for Large-Scale and Integrative Biomedical Analyses
To extend Galaxy, a web-based computational workbench used by thousands of scientists across the world, so that it can analyze large datasets and connect with other analysis tools.
Project Lead: Jeremy Goecks (Oregon Health & Science University)
Future: Simple, Scalable Parallelization in R for the Biomedical Community
To sustain maintenance, improve community support, enhance usability and robustness, and add improvements for the future framework.
Project Lead: Henrik Bengtsson (University of California, San Francisco)
GPU Acceleration, Rapid Releases, and Biomedical Examples for scikit-image
To maintain the popular scikit-image Python library for microscopy and medical imaging data and bring significant improvements via development of a backend system enabling multi-threading and GPU acceleration, an improved release process for more rapid cycles, and expanded biomedical examples.
Project Lead: Gregory Lee (Quansight)
GPU-accelerating Fiji and Friends Using Distributed CLIJ, NEUBIAS-style
To enable end-users of ImageJ/Fiji, Icy and napari to process biological imaging time-lapses or large-scale image data tile-by-tile on multiple graphics processing units (GPUs) using CLIJ.
Project Lead: Robert Haase (Cluster of Excellence “Physics of Life”, Technische Universität Dresden)
Growing a Diverse and Inclusive Workflow Ecosystem with CWL
To expand our community so new individuals can meaningfully contribute code, documentation, workflows and other software artifacts by hiring a dedicated software engineer.
Project Lead: Sarah Wait Zaranek (Curii Corporation)
Improving Bokeh Figure Publication: SVG, LaTeX, and Maintenance
To improve Bokeh in key areas that are relevant to bioscience research and to secure a solid foundation for long-term project health and sustainability by engaging in important maintenance and fostering new contributors.
Project Lead: Bryan Van de Ven (Nvidia)
Improving Computational Methods for High-throughput Sequence Data Analysis
To maintain and improve the three proposed software projects: minimap2, BWA and hifiasm, and extend them to new architectures and new data types.
Project Lead: Heng Li (Dana-Farber Cancer Institute)