influxdata/homebrew-core
Sep 2025 – Sep 2025
1 Month active
Languages Used
Ruby
Technical Skills
Build ConfigurationDependency ManagementFormula ManagementHomebrew FormulaePackage Management
Artyom Anokhov
PROFILE
Artyom Anokhov
In September 2025, contributed to the influxdata/homebrew-core repository by integrating OpenVINO 2025.3.0 into the OpenCV build, enabling the WITH_OPENVINO option and establishing a declared dependency on OpenVINO. This work involved updating Homebrew packaging formulas to reference the new OpenVINO version, removing an unnecessary revision, and introducing an adhoc signing flag in CMake to support secure, reproducible builds. Leveraging skills in Ruby, build configuration, and package management, the developer improved AI inference performance for end users while reducing maintenance overhead by stabilizing build configurations and streamlining dependency management within the Homebrew ecosystem.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
30
Activity Months1
Your Network
2197 peopleSame Organization
@intel.com2109
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025In September 2025, delivered OpenVINO 2025.3.0 integration into the OpenCV build for the influxdata/homebrew-core repo, enabling the WITH_OPENVINO option and establishing a declared OpenVINO dependency. Updated packaging formulas to reference the new OpenVINO version, removed an unnecessary revision, and introduced an adhoc signing flag in CMake to ensure secure, reproducible builds. This work improves AI inference performance for end users and reduces packaging maintenance overhead by stabilizing build configurations.
2 Commits • 1 Features
Sep 1, 2025In September 2025, delivered OpenVINO 2025.3.0 integration into the OpenCV build for the influxdata/homebrew-core repo, enabling the WITH_OPENVINO option and establishing a declared OpenVINO dependency. Updated packaging formulas to reference the new OpenVINO version, removed an unnecessary revision, and introduced an adhoc signing flag in CMake to ensure secure, reproducible builds. This work improves AI inference performance for end users and reduces packaging maintenance overhead by stabilizing build configurations.
September 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Ruby
Technical Skills
Build ConfigurationDependency ManagementFormula ManagementHomebrew FormulaePackage Management
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