pixeltable-new 0.3.0

Create a new Pixeltable project in one command

pixeltable-new

Create a new Pixeltable project in one command.

How to use

Install uv following their guide for your system.

Run:

uvx pixeltable-new myapp

This will create a new project myapp with a Pixeltable schema and declarative serving config.

Enter the directory:

cd myapp

Install dependencies and run:

uv add pixeltable
uv run pxt serve my-service

Open your browser and go to http://localhost:8000/docs to see your API docs.

Application Templates

Vertical apps that each build on a structural pattern — so you already know how to run and deploy them:

uvx pixeltable-new --template multimodal-rag my-kb        # serving + backend (web UI)
uvx pixeltable-new --template video-intel my-video-app    # serving (pure declarative)
uvx pixeltable-new --template agent my-agent              # serving + backend (web UI)
uvx pixeltable-new --template audio-intel my-podcast-app  # serving + backend (web UI)
uvx pixeltable-new --template content-pipeline my-pipe    # batch (pipeline.py)
uvx pixeltable-new --template data-lab my-dataset         # batch (export.py)

Template	Pattern	What you get
multimodal-rag	serving + backend	Unified search across docs, images, video, audio. schema.py + app.py + web UI
video-intel	serving	Declarative video pipeline: frames, transcription, detection, search. Pure schema.py
agent	serving + backend	Persistent agent with durable memory, tools, MCP. schema.py + app.py + web UI
audio-intel	serving + backend	Transcription, diarization, summarization, semantic search. schema.py + app.py + web UI
content-pipeline	batch	Ingest from S3, process all modalities, export to your DB. schema.py + pipeline.py
data-lab	batch	Auto-annotate, curate, version, export to PyTorch. schema.py + export.py

Structural Patterns

API/pipeline scaffolds for when you want to wire Pixeltable into your own architecture:

uvx pixeltable-new myapp --serving    # Declarative API from TOML config (default)
uvx pixeltable-new myapp --backend    # FastAPI API scaffold (headless)
uvx pixeltable-new myapp --batch      # Batch processing script

Pattern	What you get	Run with
--serving (default)	schema.py + pyproject.toml routes	pxt serve <service-name>
--backend	FastAPI API scaffold + Pixeltable schema + routers	uvicorn main:app --reload
--batch	Ingest script + export_sql	python pipeline.py

Discovery

uvx pixeltable-new --list    # show all patterns + templates

All content is fetched from the Pixeltable Starter Kit. For the full reference with Docker, Helm, Terraform, and cloud deploy configs, clone the starter kit directly.

Existing directory

If you want to create a new Pixeltable project in an existing directory, run the command without a project name:

uvx pixeltable-new

Learn more

• Pixeltable Documentation
• Starter Kit
• AI Coding Skill
• Discord

Releasing

Releases are published to PyPI automatically when a version tag is pushed.

One-time setup (trusted publishing)

1. Go to pypi.org/manage/project/pixeltable-new/settings/publishing/
2. Add a new trusted publisher:
   • Owner: pixeltable
   • Repository: pixeltable-new
   • Workflow: publish.yml
   • Environment: pypi
3. Create a GitHub environment called pypi at github.com/pixeltable/pixeltable-new/settings/environments

Publishing a release

# 1. Bump version in src/pixeltable_new/__init__.py
# 2. Update release-notes.md
# 3. Commit, tag, push
git add -A && git commit -m "v0.3.0: description of changes"
git tag v0.3.0
git push && git push --tags

The CI workflow runs the full test matrix, then publishes to PyPI via OIDC (no API token needed).

Manual publish (fallback)

If trusted publishing isn't configured yet, publish manually with a PyPI API token scoped to the pixeltable-new project:

uv build
uv publish --token pypi-YOUR_TOKEN_HERE

License

This project is licensed under the terms of the Apache 2.0 license.