Automate Blender Animation with Python and CSV Data
Learn how to automate Blender animations using Python and CSV data. Build repeatable, data driven workflows and generate keyframes without manual work.
Learn how to automate Blender animations using Python and CSV data. Build repeatable, data driven workflows and generate keyframes without manual work.
Learn how to use Blender’s dependency graph to access evaluated mesh data. Build accurate Python export tools that support post-modifier geometry and world-space metrics.
Learn how to customize Blender themes using Preferences, AI edited XML, and Python scripting. Create, automate, and share your own Blender interface style.
Learn how to use Blender’s Python API to listen to events and automate workflows. This guide covers handlers and modal operators with practical examples for production pipelines.
Learn how to integrate Kitsu with Telegram by building a bot that listens to production events and sends notifications. This guide explains how to connect Kitsu events, trigger messages, and create simple chat commands for production workflows.
Learn what retopology is and why it’s essential for animation. This guide walks through the retopology workflow in Blender, from automated remeshing to manual topology cleanup for production-ready 3D models.
Learn how to use the Kitsu Event API and webhooks to build reactive animation pipelines. Trigger automation instantly on asset creation, task updates, and publishes without polling or manual hand-offs.
Learn how to run Blender Flamenco without a NAS by using Kitsu as asynchronous storage. This guide explains custom Flamenco job types that fetch assets from Kitsu, render locally, and upload results back automatically.
Learn how to use the Gazu Python SDK to extract production data from Kitsu and generate custom, branded PDF reports. Automate progress tracking, task summaries, and stakeholder updates without manual copy-paste work.