Welcome to Pixeltable fundamentals! These tutorials will help you understand Pixeltable’s core capabilities for managing multimodal data and machine learning workflows.

These tutorials are available as interactive Jupyter notebooks on our Github repository.

​
Core Concepts

Tables and Data Operations

Create and manage multimodal data tables, import datasets, and perform essential operations like filtering, selecting, and ordering data using Pixeltable’s intuitive interface

Computed Columns

Leverage Pixeltable’s powerful computed columns to automate data transformations, integrate ML models, and create dynamic data workflows with automatic versioning and lineage tracking

Queries & Expressions

Master Pixeltable’s expressive query system for complex data operations, from simple filters to advanced transformations across images, video, text and embeddings

Need help? Join our Discord community for support and discussions with other users.

Was this page helpful?

Custom Functions (UDFs)Feature Guides