aeye-lab/pymovements
Aug 2025 – Feb 2026
2 Months active
Languages Used
Pythonrst
Technical Skills
Data AnalysisEvent ProcessingSoftware Developmentdocumentationtechnical writingPython programming
Berat Ujkani
PROFILE
Berat Ujkani
Contributed to the aeye-lab/pymovements repository by delivering three features over two months, focusing on data analysis and event processing in Python. Enhanced the onboarding experience by overhauling the documentation and restructuring installation guides, including uv-based instructions and tabbed options for clarity. Developed an Events class with properties for direct access to fixations, saccades, blinks, and microsaccades, streamlining event data retrieval and supporting robust unit testing. Introduced regex-based event name filtering, enabling flexible and expressive queries for analytics workflows. Demonstrated skills in Python programming, regular expressions, technical writing, and collaborative development, with an emphasis on maintainability and usability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
383
Activity Months2
Your Network
12 peopleShared Repositories
12
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 highlights feature delivery in aeye-lab/pymovements: added Regex-based Event Name Filtering for Flexible Event Data Retrieval. This enables users to filter events by name using regular expressions, improving data discovery and analytics workflows. The work was implemented in commit 3fb747879aadb44f9867943395fdd0e60f581200 (#1513) with collaboration from Daniel G. Krakowczyk. No major bugs fixed this month. Impact: enhances user capability to perform flexible and expressive event queries, accelerating data-driven insights and improving overall product value. Technologies demonstrated: regular expressions, API design, version control and collaborative development.
1 Commits • 1 Features
Feb 1, 2026February 2026 highlights feature delivery in aeye-lab/pymovements: added Regex-based Event Name Filtering for Flexible Event Data Retrieval. This enables users to filter events by name using regular expressions, improving data discovery and analytics workflows. The work was implemented in commit 3fb747879aadb44f9867943395fdd0e60f581200 (#1513) with collaboration from Daniel G. Krakowczyk. No major bugs fixed this month. Impact: enhances user capability to perform flexible and expressive event queries, accelerating data-driven insights and improving overall product value. Technologies demonstrated: regular expressions, API design, version control and collaborative development.
February 2026
August 2025
2 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary: Delivered two major features in pymovements with strong business impact and solid test coverage. 1) Documentation and Getting Started Installation Guide overhaul: integrated the Advanced Installation Guide into the Getting Started page, added uv-based installation instructions, and restructured installation options using tabs. Commit 3f89196191460737be0c6e6f2cf0a82eabcc3770. 2) Events class: added properties to filter and access fixations, saccades, blinks, and microsaccades, simplifying data retrieval; includes unit tests for the new filters. Commit 758ad4a832aad37c8d135a0864758c048d78ad70. No major bugs fixed this month in the provided scope. Overall impact: reduced onboarding friction, faster access to key event data, and improved reliability through tests. Technologies/skills: Python class design, API/UX documentation, and unit testing.
August 2025
2 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary: Delivered two major features in pymovements with strong business impact and solid test coverage. 1) Documentation and Getting Started Installation Guide overhaul: integrated the Advanced Installation Guide into the Getting Started page, added uv-based installation instructions, and restructured installation options using tabs. Commit 3f89196191460737be0c6e6f2cf0a82eabcc3770. 2) Events class: added properties to filter and access fixations, saccades, blinks, and microsaccades, simplifying data retrieval; includes unit tests for the new filters. Commit 758ad4a832aad37c8d135a0864758c048d78ad70. No major bugs fixed this month in the provided scope. Overall impact: reduced onboarding friction, faster access to key event data, and improved reliability through tests. Technologies/skills: Python class design, API/UX documentation, and unit testing.
Activity
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Quality Metrics
Correctness100.0%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Pythonrst
Technical Skills
Data AnalysisEvent ProcessingPython programmingSoftware Developmentdata manipulationdocumentationregular expressionstechnical writingunit testing
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