Visual Effects

OpenColorIO (OCIO) is a complete color management solution geared towards motion picture production with an emphasis on visual effects and computer animation.

Interactive visualizations to assess fairness, explain models, generate counterfactual examples, analyze causal effects and analyze errors in Machine Learning models.

Toolbox for easy and effective data exploration

TerminalTextEffects (TTE) is a terminal visual effects engine.

Interactive visualizations to assess fairness, explain models, generate counterfactual examples, analyze causal effects and analyze errors in Machine Learning models.

Converting real-time EEG into sounds, music and visual effects

Attractive, descriptive and effective image visualization with seaborn-like API built on top of matplotlib

Effective data visualization and reporting tool

Visual effects for Textual, a TermincalTextEffects wrapper.

Interactive visualizations to assess fairness, explain models, generate counterfactual examples, analyze causal effects and analyze errors in Machine Learning models.

Python implementation for Fractal Noise, ideal for creating realistic terrain, cloud-like textures, and intricate visual effects.

Calculation and Visualization of Confidence Intervals and Effect Sizes for Python.

A Python package that adds a typewriter effect to text output. It allows you to display text in a way that mimics the classic typewriter-style printing, with characters appearing one by one at a defined speed. This package is suitable for enhancing the visual appeal of command-line applications, creating interactive fiction games, or simply adding a fun twist to your Python projects. Easy to use and highly customizable, it provides an engaging way to present text-based information.

A tool for single-case design data management, statistical analysis and visualization.

Base libraries for visual effects content production pipeline

The AB Testing Module is a comprehensive suite designed for analyzing and reporting A/B test experiments, featuring functions for statistical analysis, advanced modeling, and data visualization to transform experimental results into actionable insights.

Bring visual effect to your logging message.

Raff Libraries for Effective Data Visualization

A package to encrypt any kind of data

Interactively explore MADX lattices by tweaking lattice parameters and observing the effect on lattice functions.

Generate image from text with visual effects

AMDV_VIDEO_EDITING is a Python package for video editing tasks, such as trimming, splitting, merging, and applying various effects to videos. This package aims to provide a simple and efficient interface for performing common video editing operations using the AMDV (Advanced Multimedia Data Visualization) library.

The Python module developed for the Orange Python Tool Plugin serves a dual purpose, providing functionalities for both image processing using OpenCV and the generation of synthetic datasets through the Faker library.

A single unified Advanced Audio Processing toolkit, that provides both High-Level and Low-Level approaches to its extensive collection of tools.

A set of functions and demos to make machine learning projects easier to understand through effective visualizations.

A Python library for parsing frame ranges and file sequences commonly used in VFX and Animation applications.