scvi-tools: Enabling Probabilistic Analysis for Single-Cell Genomics
To maintain and further develop a community resource for probabilistic analysis of single-cell omics data, including an application interface for rapid development of new probabilistic models.
Project Lead: Nir Yosef (University of California, Berkeley)
SPAdes and QUAST Toolkits For Genome Sequence Assembly and Analysis
To turn SPAdes and QUAST codebases into scalable, modular, extensible and user-friendly frameworks that will streamline future research and development in genome assembly, analysis and quality assessment.
Project Lead: Anton Korobeynikov (Saint Petersburg State University)
Strengthening Community and Code Foundations for Brain Imaging
To strengthen the social and code foundations of the Nibabel library by extending the API and input/output to better support metadata, supporting outputs from image registration, and through educational outreach.
Project Lead: Matthew Brett (NumFOCUS)
Supporting Next Generation Single-Cell Genomics Experiments with Monocle
To improve Monocle with algorithms, statistical methods, and web-based visualization tools that will enable biologists using single-cell genomics to extract and disseminate new insights from their experiments.
Project Lead: Cole Trapnell (University of Washington)
Sustained Code and Community Development for NetworkX
To expand and strengthen the NetworkX developer community, reinforce connections with the scientific Python ecosystem, improve documentation and training materials for users, and refine development infrastructure and process.
Project Lead: Daniel Schult (NumFOCUS)
SymPy: Improving Foundational Open Source Symbolic Mathematics for Science
To improve the SymPy Python symbolic mathematics library in the key areas of performance, code generation, and documentation.
Project Lead: Aaron Meurer (Quansight)
The Health of pandas
To ensure the continued health of the pandas library by dedicating resources specifically to maintenance and implementing consistent missing data handling for all data types.
Project Lead: Tom Augspurger (NumFOCUS)
UCSC Xena Mentorship Program
To cultivate the next generation of biomedical open source software data scientists through recruitment, mentorship, and training of underrepresented students.
Project Lead: Jingchun Zhu (University of California, Santa Cruz)
VisPy 2.0: Next-Generation Interactive Scientific Visualization in Python
To support and further develop a library for high-performance scientific visualization in Python by maintaining the VisPy package and improving documentation within the community.
Project Lead: Kenneth Harris (University College London)