mne-tools/mne-python
Oct 2025 – Mar 2026
2 Months active
Languages Used
BashPythonreStructuredText
Technical Skills
CI/CDData ManagementDependency ManagementDocumentationPythondata visualization
Johannes Herforth
PROFILE
Johannes Herforth
Johannes Herforth contributed targeted stability improvements to the mne-tools/mne-python repository, focusing on data access and visualization reliability. He addressed issues in external data retrieval by standardizing OSF download links and refining PySide6 dependency management within CI pipelines, which reduced build flakiness and improved reproducibility for contributors. In addition, Johannes fixed annotation deletion logic in Matplotlib-based figures, ensuring hidden annotations are handled correctly and preventing accidental data loss. His work leveraged Python, Bash, and CI/CD best practices, with an emphasis on robust data management and unit testing. These contributions enhanced operational consistency and user experience in scientific computing workflows.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
2
Commits
2
Features
0
Lines of code
102
Activity Months2
Your Network
51 peopleShared Repositories
51
Work History
March 2026
1 Commits
Mar 1, 2026Monthly summary for 2026-03 focusing on mne-python contributions. Delivered a stability-focused bug fix in annotation deletion for Matplotlib figures and added regression tests to guard against regressions. Impact spans improved user reliability for visualization work and reduced risk of accidental deletions in annotation workflows. Technologies demonstrated include Python, Matplotlib, and test-driven development in a mature scientific-computing project.
1 Commits
Mar 1, 2026Monthly summary for 2026-03 focusing on mne-python contributions. Delivered a stability-focused bug fix in annotation deletion for Matplotlib figures and added regression tests to guard against regressions. Impact spans improved user reliability for visualization work and reduced risk of accidental deletions in annotation workflows. Technologies demonstrated include Python, Matplotlib, and test-driven development in a mature scientific-computing project.
March 2026
October 2025
1 Commits
Oct 1, 2025Concise monthly summary for 2025-10 focusing on stabilizing external data access and CI reliability for mne-tools/mne-python. The month delivered targeted fixes to data retrieval workflows and CI dependency management that reduce flaky behavior, improve reproducibility, and accelerate onboarding for users and contributors.
October 2025
1 Commits
Oct 1, 2025Concise monthly summary for 2025-10 focusing on stabilizing external data access and CI reliability for mne-tools/mne-python. The month delivered targeted fixes to data retrieval workflows and CI dependency management that reduce flaky behavior, improve reproducibility, and accelerate onboarding for users and contributors.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashPythonreStructuredText
Technical Skills
CI/CDData ManagementDependency ManagementDocumentationPythondata visualizationunit testing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline