Pixeltable
  • Why Pixeltable
    • AI Data Infrastructure, SimplifiedTransform complex multimodal data pipelines into intuitive table operations. Unified storage for text, images, video, and audio with automatic versioning and indexing.
    • Model DevelopmentDefine models as table operations. Supports custom Python UDFs. Integrates with popular ML frameworks. Automatic data lineage tracking.
    • Experiment TrackingVersion control for data and models. Compare experiments with table operations. Reproduce results through automatic lineage and provenance.
    • Incremental PipelinesEfficient updates to data and models. Only recompute changed dependencies. Supports complex DAGs. Automatic caching and lazy evaluation.
  • Perfect For
    • LLM/RAG DevelopersFocus on prompt engineering, not plumbing. Build incremental production-ready RAG systems with automatic document processing, embedding management.
    • Computer Vision EngineersBuild and deploy CV pipelines in days, not months. Manage video processing, frame extraction, annotations, and model inferences through a simple table interface.
    • MLOps EngineersDeploy to production without rewrites. Automatic versioning, lineage tracking, and incremental updates work the same from laptop to cloud. Zero infrastructure management overhead.
    • Data/Research ScientistsExperiment faster, iterate smarter. Let Pixeltable handle data processing across all modalities while you focus on modeling. Compare experiments and reproduce results with confidence.
  • Documentation
  • API Reference
  • BlogPixeltable Blog
  • Contact
  • Open Source
  • 📊 Get Started with Polars

    📊 Get Started with Polars

    March 2, 2023
  • 🤖 Uncertainly ChatGPT

    🤖 Uncertainly ChatGPT

    February 28, 2023
  • 📊 Data Profiling & Visualization

    📊 Data Profiling & Visualization

    February 26, 2023
  • ✈️ Open Air Traffic Data for Research

    ✈️ Open Air Traffic Data for Research

    February 24, 2023
  • ⭐ Star Wars data w/ ggplot2

    ⭐ Star Wars data w/ ggplot2

    February 22, 2023
  • 🔎 Checking nullity in Pokemon datasets using missingno

    🔎 Checking nullity in Pokemon datasets using missingno

    February 20, 2023
  • ⛈️ Climate Disasters: Understanding Natural Hazards

    ⛈️ Climate Disasters: Understanding Natural Hazards

    February 17, 2023
  • 🧪 An Analysis of EPA Traits

    🧪 An Analysis of EPA Traits

    February 17, 2023
  • 🌱 Vegan Food near Me?

    🌱 Vegan Food near Me?

    February 17, 2023
  • 📊 EDA & Feature Selection

    📊 EDA & Feature Selection

    February 17, 2023
Next Page→

© 2024 Pixeltable, Inc.
Unifying Data, Models, and Orchestration
Your Framework, Your Way.

LinkedIn | Twitter | Discord

Product
  • API Reference
  • Documentation
  • Open Roles
Explore
  • 10-minute tour of Pixeltable
  • Discussions
  • Github