pmgbergen/porepy
Jan 2025 – Apr 2026
10 Months active
Languages Used
PythonJupyter Notebook
Technical Skills
Code RefactoringReadability ImprovementSoftware MaintenanceAPI UsageDocumentationJupyter Notebook
Jakub Both
PROFILE
Jakub Both
Contributed extensively to the pmgbergen/porepy repository, focusing on solver infrastructure, convergence tracking, and code quality improvements. Over ten months, delivered features such as modular convergence monitoring, robust solver statistics, and enhanced simulation status tracking, all implemented in Python and Jupyter Notebooks. Applied static type checking, code linting, and documentation updates to ensure maintainability and onboarding ease. Addressed numerical stability and data export issues, refactored core algorithms for clarity, and expanded test coverage for poromechanics and multiphysics simulations. The work emphasized reliability, reproducibility, and developer productivity, resulting in a more stable, observable, and user-friendly scientific computing platform.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
221Total
Bugs
33
Commits
221
Features
67
Lines of code
191,815
Activity Months10
Your Network
35 peopleWork History
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026: pmgbergen/porepy focused on code quality, documentation, and style. Delivered maintainability improvements to the AndersonAcceleration component by adding docstrings and enforcing style standards via flake8, laying the groundwork for faster, more reliable future development. No major bug fixes this month.
2 Commits • 1 Features
Apr 1, 2026April 2026: pmgbergen/porepy focused on code quality, documentation, and style. Delivered maintainability improvements to the AndersonAcceleration component by adding docstrings and enforcing style standards via flake8, laying the groundwork for faster, more reliable future development. No major bug fixes this month.
April 2026
February 2026
25 Commits • 6 Features
Feb 1, 2026February 2026 highlights for pmgbergen/porepy include targeted bug fixes, maintainability improvements, and stronger test coverage, delivering tangible business value through improved stability, reliability, and developer productivity. Key outcomes: - Implemented a critical bug fix for concatenating variable blocks, ensuring correct variable assembly and solver stability. - Executed maintenance and internal refactors to converge status values, tolerances, ordering, Lebesgue norm scope, and public/equation-system interfaces, reducing complexity and improving Newton reliability. - Expanded test suite for Euclidean and Lebesgue metrics with deterministic seeds, explicit naming, common setup, and improved documentation, boosting coverage and reproducibility. - Strengthened code quality with linting/formatting updates (ruff, mypy, isort) contributing to long-term maintainability. - Enhanced numerical stability and convergence handling, including line search tolerance tuning, Newton iteration handling fixes, and divergence-based stop conditions. - Improved Tutorial rendering to streamline onboarding and demonstrations. Overall impact: Reduced risk of regressions, higher confidence in numerical results, and clearer, more maintainable code paths, enabling faster iteration and more reliable analytics for downstream applications.
February 2026
25 Commits • 6 Features
Feb 1, 2026February 2026 highlights for pmgbergen/porepy include targeted bug fixes, maintainability improvements, and stronger test coverage, delivering tangible business value through improved stability, reliability, and developer productivity. Key outcomes: - Implemented a critical bug fix for concatenating variable blocks, ensuring correct variable assembly and solver stability. - Executed maintenance and internal refactors to converge status values, tolerances, ordering, Lebesgue norm scope, and public/equation-system interfaces, reducing complexity and improving Newton reliability. - Expanded test suite for Euclidean and Lebesgue metrics with deterministic seeds, explicit naming, common setup, and improved documentation, boosting coverage and reproducibility. - Strengthened code quality with linting/formatting updates (ruff, mypy, isort) contributing to long-term maintainability. - Enhanced numerical stability and convergence handling, including line search tolerance tuning, Newton iteration handling fixes, and divergence-based stop conditions. - Improved Tutorial rendering to streamline onboarding and demonstrations. Overall impact: Reduced risk of regressions, higher confidence in numerical results, and clearer, more maintainable code paths, enabling faster iteration and more reliable analytics for downstream applications.
January 2026
59 Commits • 21 Features
Jan 1, 2026January 2026 monthly performance snapshot for pmgbergen/porepy: Key features delivered include exposing central convergence and metric objects in the package __init__ for easier usage, and expanded test coverage for metrics in fractured 3D domains and boundary grids. Major bugs fixed include data management improvements for iteration export and 2D fracture quantity export, as well as correcting the accumulation of norms for variables during iterations and stabilizing nonlinear iteration logic with improved divergence diagnostics. Overall, the month delivered greater solver reliability, data integrity, and API ergonomics, enabling faster development, more reliable simulations, and clearer operational diagnostics. Technologies/skills demonstrated include Python-based solver development, test-driven development, code quality tooling (isort/ruff/mypy), deepcopy safety, and enhanced solver statistics handling.
59 Commits • 21 Features
Jan 1, 2026January 2026 monthly performance snapshot for pmgbergen/porepy: Key features delivered include exposing central convergence and metric objects in the package __init__ for easier usage, and expanded test coverage for metrics in fractured 3D domains and boundary grids. Major bugs fixed include data management improvements for iteration export and 2D fracture quantity export, as well as correcting the accumulation of norms for variables during iterations and stabilizing nonlinear iteration logic with improved divergence diagnostics. Overall, the month delivered greater solver reliability, data integrity, and API ergonomics, enabling faster development, more reliable simulations, and clearer operational diagnostics. Technologies/skills demonstrated include Python-based solver development, test-driven development, code quality tooling (isort/ruff/mypy), deepcopy safety, and enhanced solver statistics handling.
January 2026
December 2025
48 Commits • 14 Features
Dec 1, 2025December 2025 | pmgbergen/porepy focused on robustness, observability, and usability across the solver and simulation workflow. Delivered a modular convergence tracking overhaul with enhanced status logging, corrected divergence criteria handling to prevent false positives, and extended BoundaryGrid support for volume calculations. Introduced a new simulation status feature with in_progress state and improved solver statistics logging for better monitoring. Improved code quality and maintainability through targeted metrics refactoring, lint/type-check enforcement, and updated documentation/tutorials, enabling faster diagnosis, reduced wasted iterations, and clearer business-value metrics.
December 2025
48 Commits • 14 Features
Dec 1, 2025December 2025 | pmgbergen/porepy focused on robustness, observability, and usability across the solver and simulation workflow. Delivered a modular convergence tracking overhaul with enhanced status logging, corrected divergence criteria handling to prevent false positives, and extended BoundaryGrid support for volume calculations. Introduced a new simulation status feature with in_progress state and improved solver statistics logging for better monitoring. Improved code quality and maintainability through targeted metrics refactoring, lint/type-check enforcement, and updated documentation/tutorials, enabling faster diagnosis, reduced wasted iterations, and clearer business-value metrics.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for pmgbergen/porepy: Delivered robustness and analytics improvements to the Numerical Solver. This included refactoring convergence checks to properly handle NaN values, updating convergence criteria for clearer and more reliable behavior, and enhancing solver statistics management to support flexible data appending and updating. The changes were landed through code-review-driven work (commit 729498f9ad570ec327df67a3ef567501d0703c64). Overall impact: increased solver reliability, maintainability, and diagnosability, enabling more trustworthy simulations and smoother future feature work. Technologies demonstrated include Python refactoring, testability improvements, and collaboration through code review.
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for pmgbergen/porepy: Delivered robustness and analytics improvements to the Numerical Solver. This included refactoring convergence checks to properly handle NaN values, updating convergence criteria for clearer and more reliable behavior, and enhancing solver statistics management to support flexible data appending and updating. The changes were landed through code-review-driven work (commit 729498f9ad570ec327df67a3ef567501d0703c64). Overall impact: increased solver reliability, maintainability, and diagnosability, enabling more trustworthy simulations and smoother future feature work. Technologies demonstrated include Python refactoring, testability improvements, and collaboration through code review.
November 2025
October 2025
65 Commits • 17 Features
Oct 1, 2025Monthly summary for 2025-10 focused on delivering robust convergence handling, solver statistics, and quality improvements in the porepy project. The month culminated in a set of core features and reliability fixes that enhance model fidelity, diagnostics, and maintainability.
October 2025
65 Commits • 17 Features
Oct 1, 2025Monthly summary for 2025-10 focused on delivering robust convergence handling, solver statistics, and quality improvements in the porepy project. The month culminated in a set of core features and reliability fixes that enhance model fidelity, diagnostics, and maintainability.
May 2025
7 Commits • 3 Features
May 1, 2025May 2025: Focused on API stability, maintainability, and documentation enhancements across porepy. Key deliverables included: (1) exporter constant data export behavior and API evolution; (2) codebase reorganization of the Anderson Acceleration module; (3) plotting/visualization docs updates for the 'info' argument. Concurrent tests and docs were updated; deprecation warnings were introduced where applicable. Overall, these changes reduce migration risk for users and accelerate developer velocity.
7 Commits • 3 Features
May 1, 2025May 2025: Focused on API stability, maintainability, and documentation enhancements across porepy. Key deliverables included: (1) exporter constant data export behavior and API evolution; (2) codebase reorganization of the Anderson Acceleration module; (3) plotting/visualization docs updates for the 'info' argument. Concurrent tests and docs were updated; deprecation warnings were introduced where applicable. Overall, these changes reduce migration risk for users and accelerate developer velocity.
May 2025
March 2025
7 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for pmgbergen/porepy focused on enhancing physical realism in poromechanics and improving code quality. Key outcomes include the addition of bulk gravity support for poromechanics models and substantial code readability/documentation improvements that set a stronger foundation for maintainability and future work.
March 2025
7 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for pmgbergen/porepy focused on enhancing physical realism in poromechanics and improving code quality. Key outcomes include the addition of bulk gravity support for poromechanics models and substantial code readability/documentation improvements that set a stronger foundation for maintainability and future work.
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025: Focused on standardizing naming conventions in tutorial notebooks and stabilizing model terminology to improve usability, readability, and reproducibility across the project pmgbergen/porepy. Implemented uniform 'model' naming, unified domain boundary naming to 'domain_sides', and reverted unintended model renaming that caused inconsistencies in tutorials and benchmarks. These changes reduce onboarding friction for new users, simplify maintenance, and strengthen cross-tutorial benchmarking integrity.
5 Commits • 2 Features
Feb 1, 2025February 2025: Focused on standardizing naming conventions in tutorial notebooks and stabilizing model terminology to improve usability, readability, and reproducibility across the project pmgbergen/porepy. Implemented uniform 'model' naming, unified domain boundary naming to 'domain_sides', and reverted unintended model renaming that caused inconsistencies in tutorials and benchmarks. These changes reduce onboarding friction for new users, simplify maintenance, and strengthen cross-tutorial benchmarking integrity.
February 2025
January 2025
2 Commits
Jan 1, 2025January 2025 monthly work summary for pmgbergen/porepy focusing on bug fix and code quality improvements in the Newton Solver residual handling.
January 2025
2 Commits
Jan 1, 2025January 2025 monthly work summary for pmgbergen/porepy focusing on bug fix and code quality improvements in the Newton Solver residual handling.
Activity
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Quality Metrics
Correctness93.4%
Maintainability90.4%
Architecture89.8%
Performance89.0%
AI Usage21.4%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
API DesignAPI UsageCode LintingCode OrganizationCode QualityCode RefactoringCode Style ImprovementCode refactoringCode style improvementConfiguration ManagementDocumentationEnum UsageError HandlingFinite Element MethodJSON handling
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