scverse/squidpy
Mar 2025 – Mar 2025
1 Month active
Languages Used
PythonYAML
Technical Skills
BioinformaticsCI/CDData AnalysisData VisualizationScientific ComputingSoftware Engineering
Tim Treis
PROFILE
Tim Treis
Worked on the scverse/squidpy repository to enhance niche calculation capabilities by unifying and extending the calculate_niche API. The work introduced robust validation, multiple calculation flavors, inplace operations, and support for SpatialData, consolidating these improvements into a single, cohesive feature. Addressed n-hop weighting logic to improve the reliability of niche analytics and refreshed the test suite with new runner images and refactored tests, resulting in better coverage and reduced flakiness. Leveraged Python and YAML for implementation, applying test-driven development and CI/CD practices. These updates enabled smoother downstream usage, faster iteration, and more dependable scientific computing workflows for users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
1
Lines of code
780
Activity Months1
Your Network
16 peopleSame Organization
@stud.uni-heidelberg.de4
Work History
March 2025
5 Commits • 1 Features
Mar 1, 2025Month: 2025-03 | Focused on niche calculation work in sciverse/squidpy. Key features delivered include API enhancements to calculate_niche (validation, flavors, inplace options, SpatialData handling) consolidated into a single feature, robustness improvements for n-hop weighting, and an updated test suite and resources (new runner images, refactored tests) with a minor CI workflow fix. Major bugs fixed include correcting n_hop logic and reducing test flakiness through updated test resources and CI adjustments. Overall impact: more reliable niche analytics, expanded API capabilities, and improved test coverage and CI stability, enabling smoother downstream usage and faster iteration. Technologies/skills demonstrated: Python and type-checking with mypy, API design and integration, test-driven development, CI workflow tuning, and SpatialData handling.
5 Commits • 1 Features
Mar 1, 2025Month: 2025-03 | Focused on niche calculation work in sciverse/squidpy. Key features delivered include API enhancements to calculate_niche (validation, flavors, inplace options, SpatialData handling) consolidated into a single feature, robustness improvements for n-hop weighting, and an updated test suite and resources (new runner images, refactored tests) with a minor CI workflow fix. Major bugs fixed include correcting n_hop logic and reducing test flakiness through updated test resources and CI adjustments. Overall impact: more reliable niche analytics, expanded API capabilities, and improved test coverage and CI stability, enabling smoother downstream usage and faster iteration. Technologies/skills demonstrated: Python and type-checking with mypy, API design and integration, test-driven development, CI workflow tuning, and SpatialData handling.
March 2025
Activity
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Quality Metrics
Correctness86.0%
Maintainability86.0%
Architecture80.0%
Performance72.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
BioinformaticsCI/CDData AnalysisData VisualizationScientific ComputingSoftware EngineeringTesting
Repositories Contributed To
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