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Documentation Index

Fetch the complete documentation index at: https://docs.pixeltable.com/llms.txt

Use this file to discover all available pages before exploring further.

Pixeltable Cloud extends the local SDK with team collaboration and production deployment capabilities.

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Publish & Replicate ✅ Available Now

FeatureAPI
Publish datasetspxt.publish(source, destination_uri)
Replicate datasetspxt.replicate(remote_uri, local_path)
Sync updatespush(), pull()
Access controlaccess='public' or 'private'
# Publish your curated dataset
pxt.publish(source='my-table', destination_uri='pxt://myorg/my-dataset')

# Anyone can replicate public datasets (no account required)
coco = pxt.replicate(remote_uri='pxt://pixeltable:fiftyone/coco_mini_2017', local_path='coco-copy')

Data Sharing Guide

Full documentation on publish, replicate, push, and pull

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2. Endpoints

Self-hosted HTTP serving is available now. Cloud deployment with managed hosting is coming soon.
FeatureStatusWhat
pxt serve✅ AvailableTOML-configured HTTP endpoints with CLI
FastAPIRouter✅ AvailableDeclarative routes in Python, drop-in APIRouter subclass
Background jobs✅ Availablebackground=True on any route
pxt deploy🔜 Coming SoonCloud deployment with auto-scaling
Pre-signed URLs🔜 Coming SoonMedia access without proxying

HTTP Serving Guide

TOML config, CLI, Python API, and background jobs for self-hosted deployments
Join the waitlist to get early access to cloud-managed Endpoints.

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3. Cloud Storage ✅ Available Now

Every Pixeltable Cloud account includes a free managed storage bucket for media files. No cloud provider account or bucket configuration required.
FeatureWhat
Home bucketFree R2-backed storage for computed and input media
Auto credentialsTemporary credentials fetched and refreshed automatically
Quota managementBuilt-in storage limits with clear error messages
# Use your free cloud bucket as a media destination
t.add_computed_column(
    thumbnail=t.photo.resize((256, 256)),
    destination='pxtfs://myorg:mydb/home'
)

Cloud Storage Setup

Configuration guide for the free managed bucket

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4. Live Tables 🔜 Coming Soon

Multi-writer collaboration and serverless compute.
FeatureWhat
Multi-writerTeam collaboration on shared tables
Serverless computeAuto-scaling without infrastructure
UDF versioningSafe experimentation with code changes
RBAC + auditGovernance and compliance

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Unified: Where It’s All Going

When all three cloud services are available, the two use cases converge:
  • Data wrangling + AI pipelines + endpoints = one system
  • Orchestration + storage + retrieval unified
  • Table becomes the endpoint
Your training datasets and production APIs share the same infrastructure—versioning, lineage, and retrieval in the serving path.

Book a Demo

Schedule time with our team to discuss your use case
Last modified on May 9, 2026