ynput/ayon-nuke
Mar 2026 – Apr 2026
2 Months active
Languages Used
Python
Technical Skills
Data structure managementDevOpsGitHub ActionsNuke IntegrationPythonPython Scripting
splidje
PROFILE
Splidje
Contributed to the ynput/ayon-nuke repository by enhancing Nuke AYON integration with non-deadline OpenCue support and improving rendering workflows using Python and DevOps practices. Automated continuous integration and deployment processes with GitHub Actions, streamlining pull requests, documentation, and release management. Improved internal data structures for timewarp handling, increasing flexibility and maintainability in rendering pipelines. Enhanced image export fidelity by recording actual resolution and pixel aspect ratio in version data, supporting downstream analytics and QA. Addressed farm rendering reliability by implementing selective write node rendering, reducing wasted compute and ensuring output correctness. Focused on backend development, image processing, and plugin integration.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
2
Lines of code
74,690
Activity Months2
Your Network
21 peopleShared Repositories
21
YnbotMember
Jakub JezekMember
Jose CaraballoMember
Jiri SindelarMember
Joseph HENRYMember
jrsndlrMember
Kayla ManMember
MustafaJafarMember
Ondrej SamohelMember
Work History
April 2026
1 Commits
Apr 1, 2026April 2026 monthly summary for ynput/ayon-nuke focused on delivering a reliable farm-render experience and enforcing correct output with minimal waste.
1 Commits
Apr 1, 2026April 2026 monthly summary for ynput/ayon-nuke focused on delivering a reliable farm-render experience and enforcing correct output with minimal waste.
April 2026
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 monthly work summary for ynput/ayon-nuke focusing on key accomplishments in feature delivery, reliability, and process improvements. Delivered enhancements to the Nuke AYON integration with non-deadline OpenCue support and improved rendering workflows, alongside automation for PRs, docs, labels, and releases. Implemented an internal data-structure improvement for timewarps to enable greater flexibility. Improved image export fidelity by recording actual write resolution and pixel aspect ratio in version data. These efforts reduce manual release overhead, increase render reliability, and improve data quality for downstream QA and analytics.
March 2026
4 Commits • 2 Features
Mar 1, 2026March 2026 monthly work summary for ynput/ayon-nuke focusing on key accomplishments in feature delivery, reliability, and process improvements. Delivered enhancements to the Nuke AYON integration with non-deadline OpenCue support and improved rendering workflows, alongside automation for PRs, docs, labels, and releases. Implemented an internal data-structure improvement for timewarps to enable greater flexibility. Improved image export fidelity by recording actual write resolution and pixel aspect ratio in version data. These efforts reduce manual release overhead, increase render reliability, and improve data quality for downstream QA and analytics.
Activity
Loading activity data...
Quality Metrics
Correctness92.0%
Maintainability88.0%
Architecture88.0%
Performance88.0%
AI Usage28.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data structure managementDevOpsGitHub ActionsNuke IntegrationPythonPython ScriptingPython developmentRendering Workflowsbackend developmentimage processingplugin development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline