Labelbox/labelbox-python
May 2025 – Jun 2026
2 Months active
Languages Used
Python
Technical Skills
API IntegrationBackend DevelopmentAPI developmentbackend developmentdata modeling
Dmytro Apollonin
PROFILE
Dmytro Apollonin
Worked on the Labelbox Python repository to enhance model run tracking and analytics capabilities. Over two months, delivered features that introduced a model_app_id field to the model run creation flow, enabling precise association between model runs and Foundry apps for improved observability and analytics. Leveraged Python for backend development, focusing on API integration and data modeling to ensure consistency and maintainability. Subsequently, added instrumentation for tracking cost and data usage per model run, establishing foundational support for cost governance and downstream analytics. The work emphasized robust schema updates and seamless API exposure, supporting better traceability and operational insight for users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
128,021
Activity Months2
Your Network
20 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for the Labelbox Python repository. Delivered instrumentation to track cost and data usage for model runs, establishing foundational visibility for cost governance, budgeting, and analytics.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for the Labelbox Python repository. Delivered instrumentation to track cost and data usage for model runs, establishing foundational visibility for cost governance, budgeting, and analytics.
June 2026
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered end-to-end model run tracking enhancement in Labelbox Python integration by adding model_app_id to the model run creation flow, exposing it via GraphQL, and updating the ModelRun schema. This enables precise association of model runs with Foundry apps, improving observability, debugging, and analytics. No major bugs fixed this month; changes focused on API consistency, maintainability, and alignment with repo standards.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered end-to-end model run tracking enhancement in Labelbox Python integration by adding model_app_id to the model run creation flow, exposing it via GraphQL, and updating the ModelRun schema. This enables precise association of model runs with Foundry apps, improving observability, debugging, and analytics. No major bugs fixed this month; changes focused on API consistency, maintainability, and alignment with repo standards.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationAPI developmentBackend Developmentbackend developmentdata modeling
Repositories Contributed To
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