probabl-ai/skore
Apr 2025 – Apr 2025
1 Month active
Languages Used
Python
Technical Skills
Data HandlingPandas
Ankith
PROFILE
Ankith
Ankith contributed targeted backend improvements to probabl-ai/skore and libsdl-org/SDL_image, focusing on data reliability and rendering accuracy. In skore, he addressed a date parsing issue by explicitly specifying the mm/dd/yyyy format in pandas’ to_datetime, ensuring consistent time-based metrics across visualizations. This change, implemented in Python, improved data handling and chart reliability. For SDL_image, Ankith resolved a bug in the STB backend by ensuring color key palette entries have opaque alpha values before applying color keying, preventing conflicts with alpha blending and enhancing rendering correctness. His work demonstrated depth in backend development, data processing, and image manipulation using Python and C.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
2
Commits
2
Features
0
Lines of code
8
Activity Months2
Your Network
43 people
Work History
June 2025
1 Commits
Jun 1, 2025June 2025 monthly summary for libsdl-org/SDL_image: Primary focus on bug fixes and rendering correctness. No new user-facing features released this month; stability and rendering accuracy were enhanced through targeted fixes in the STB backend.
1 Commits
Jun 1, 2025June 2025 monthly summary for libsdl-org/SDL_image: Primary focus on bug fixes and rendering correctness. No new user-facing features released this month; stability and rendering accuracy were enhanced through targeted fixes in the STB backend.
June 2025
April 2025
1 Commits
Apr 1, 2025April 2025 monthly summary for probabl-ai/skore focusing on data correctness and visualization reliability. Addressed a date parsing reliability issue by explicitly specifying the date format in pandas to_datetime to ensure date_first_hired is parsed as mm/dd/yyyy in charts. Implemented across two plotting scripts (plot_skore_getting_started.py and plot_train_test_split.py). This change reduces risk of misinterpreted time-based metrics and improves consistency across visualizations. The change is tracked in the docs update commit: 'docs: Pass format to `pd.to_datetime` (#1542)' (hash: 9d991e0914dd561732af3b55b742256235e56d53).
April 2025
1 Commits
Apr 1, 2025April 2025 monthly summary for probabl-ai/skore focusing on data correctness and visualization reliability. Addressed a date parsing reliability issue by explicitly specifying the date format in pandas to_datetime to ensure date_first_hired is parsed as mm/dd/yyyy in charts. Implemented across two plotting scripts (plot_skore_getting_started.py and plot_train_test_split.py). This change reduces risk of misinterpreted time-based metrics and improves consistency across visualizations. The change is tracked in the docs update commit: 'docs: Pass format to `pd.to_datetime` (#1542)' (hash: 9d991e0914dd561732af3b55b742256235e56d53).
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CPython
Technical Skills
Backend DevelopmentData HandlingImage ProcessingPandas
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
libsdl-org/SDL_image
Jun 2025 – Jun 2025
1 Month active
Languages Used
C
Technical Skills
Backend DevelopmentImage Processing