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Pixeltable

Unified multimodal backend for AI data apps — store, query, and version images, video, audio, and text alongside structured data.

★ 1,614 GitHub Apache-2.0 multimodaldataframevector-databasecomputer-visionragdata-versioning Database Tools

Overview

Pixeltable is an open-source, unified multimodal data backend built for AI applications. It gives you a Python-native dataframe API to store, query, and version images, video, audio, text, and structured data in one place. Every operation is automatically recorded, so you can replay, fork, and branch your data like code — perfect for RAG pipelines, computer vision datasets, evaluation sets, and agentic workflows. Data is stored in cloud object storage with a Postgres metadata layer, keeping infrastructure simple and durable. Pixeltable handles complex transforms, embeddings, and model inference with incremental computation, so you never recompute what has not changed. It is Apache-2.0 licensed, self-hostable with Docker, and designed for teams that need reproducibility and full control over their AI data stack.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  pixeltable:
    image: ghcr.io/pixeltable/pixeltable:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/pixeltable:/data

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