catalystneuro/neuroconv
Nov 2024 – Mar 2025
5 Months active
Languages Used
MarkdownPythonTOMLYAMLreStructuredTextmarkdowntomlyaml
Technical Skills
API DevelopmentBug FixingCode MaintenanceCode RefactoringData ConversionDependency Management
Heberto Mayorquin
PROFILE
Heberto Mayorquin
Hugo Mayorquin contributed to the catalystneuro/neuroconv repository by engineering robust data conversion workflows for neuroscience research, focusing on scalable handling of complex electrophysiology and imaging datasets. He developed and refined interfaces for multi-probe recordings, image conversion, and metadata validation, ensuring compatibility with evolving NWB standards and modern APIs. Using Python and leveraging libraries such as Numpy and Pillow, Hugo implemented features like modality-specific packaging, memory-efficient image handling, and automated metadata retrieval. His work emphasized maintainability through code refactoring, rigorous testing, and release management, resulting in a stable, extensible backend that improved data integrity and streamlined research data pipelines.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
54Total
Bugs
11
Commits
54
Features
22
Lines of code
7,325
Activity Months5
Your Network
7 peopleWork History
March 2025
8 Commits • 2 Features
Mar 1, 2025March 2025 performance highlights for catalystneuro/neuroconv. Delivered feature-rich enhancements, stabilized core data workflows, and prepared for the v0.7.x release, focusing on data integrity, integration capabilities, and maintainability.
8 Commits • 2 Features
Mar 1, 2025March 2025 performance highlights for catalystneuro/neuroconv. Delivered feature-rich enhancements, stabilized core data workflows, and prepared for the v0.7.x release, focusing on data integrity, integration capabilities, and maintainability.
March 2025
February 2025
12 Commits • 5 Features
Feb 1, 2025February 2025: Catalyst Neuro's neuroconv progress focused on expanding data ingest capabilities, hardening robustness, and aligning with the latest NWB ecosystem to enhance reliability and scalability of data pipelines.
February 2025
12 Commits • 5 Features
Feb 1, 2025February 2025: Catalyst Neuro's neuroconv progress focused on expanding data ingest capabilities, hardening robustness, and aligning with the latest NWB ecosystem to enhance reliability and scalability of data pipelines.
January 2025
12 Commits • 6 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for catalystneuro/neuroconv. Focused on stabilizing core data paths, decoupling validation workflow, and ensuring metadata integrity for multi-probe recordings, while extending compatibility with modern APIs and tightening release processes. Key outcomes across the month reflect a shift toward more robust data handling, clearer metadata, and improved developer experience, enabling scalable data conversion workflows for larger datasets and multi-probe experiments.
12 Commits • 6 Features
Jan 1, 2025January 2025 (2025-01) monthly summary for catalystneuro/neuroconv. Focused on stabilizing core data paths, decoupling validation workflow, and ensuring metadata integrity for multi-probe recordings, while extending compatibility with modern APIs and tightening release processes. Key outcomes across the month reflect a shift toward more robust data handling, clearer metadata, and improved developer experience, enabling scalable data conversion workflows for larger datasets and multi-probe experiments.
January 2025
December 2024
12 Commits • 3 Features
Dec 1, 2024Monthly performance summary for 2024-12 focusing on delivering flexible data interfaces, expanding data backend options, and improving reliability for neuroconv. Highlights include multi-probe SpikeGLX/NIDQ enhancements, NWB ecosystem usability improvements with zarr backend, a data integrity fix for electrode groups in ecephys interfaces, and strengthened test/docs to support maintainability and Windows compatibility. These efforts collectively advance data usability, interoperability, and research throughput.
December 2024
12 Commits • 3 Features
Dec 1, 2024Monthly performance summary for 2024-12 focusing on delivering flexible data interfaces, expanding data backend options, and improving reliability for neuroconv. Highlights include multi-probe SpikeGLX/NIDQ enhancements, NWB ecosystem usability improvements with zarr backend, a data integrity fix for electrode groups in ecephys interfaces, and strengthened test/docs to support maintainability and Windows compatibility. These efforts collectively advance data usability, interoperability, and research throughput.
November 2024
10 Commits • 6 Features
Nov 1, 20242024-11 monthly summary for catalystneuro/neuroconv: Focused on release readiness, packaging polish, and data conversion robustness to deliver business value and reliability for users performing neurophysiology data conversions and sorting. The month delivered the following key features and improvements: Release management for 0.6.5/0.6.6 with updated changelog and version bumps; Packaging: modality-specific extras now defined in pyproject with removal of setup.py enabling installs for ophys, ecephys, icephys, behavior, and text; Imaging conversions: added always_write_timestamps option to force explicit timestamp writing; Conversion: added support for datetime objects in conversion options with a new encoder and tests; Sorting: propagated unit_electrode_indices to the SortingInterface for accurate NWB mappings. Major bugs fixed include API rename get_schema_from_method_signature to get_json_schema_from_method_signature across data interfaces and improved robustness by delaying NWB extension imports until interface initialization. Technologies/skills demonstrated include Python packaging (pyproject extras), interface design, imaging conversion controls, datetime encoding/validation, and test strategies.
10 Commits • 6 Features
Nov 1, 20242024-11 monthly summary for catalystneuro/neuroconv: Focused on release readiness, packaging polish, and data conversion robustness to deliver business value and reliability for users performing neurophysiology data conversions and sorting. The month delivered the following key features and improvements: Release management for 0.6.5/0.6.6 with updated changelog and version bumps; Packaging: modality-specific extras now defined in pyproject with removal of setup.py enabling installs for ophys, ecephys, icephys, behavior, and text; Imaging conversions: added always_write_timestamps option to force explicit timestamp writing; Conversion: added support for datetime objects in conversion options with a new encoder and tests; Sorting: propagated unit_electrode_indices to the SortingInterface for accurate NWB mappings. Major bugs fixed include API rename get_schema_from_method_signature to get_json_schema_from_method_signature across data interfaces and improved robustness by delaying NWB extension imports until interface initialization. Technologies/skills demonstrated include Python packaging (pyproject extras), interface design, imaging conversion controls, datetime encoding/validation, and test strategies.
November 2024
Activity
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Quality Metrics
Correctness91.0%
Maintainability90.2%
Architecture88.2%
Performance79.8%
AI Usage20.4%
Skills & Technologies
Programming Languages
MarkdownPythonTOMLYAMLmarkdownreStructuredTexttomlyaml
Technical Skills
API DesignAPI DevelopmentAPI IntegrationBackend DevelopmentBug FixBug FixingCI/CDChangelog ManagementCode MaintenanceCode RefactoringConfiguration ManagementData ConversionData EngineeringData HandlingData Interface Development
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