Skip to main content

Snowflake Semantic Tools (SST)

Build, validate, and deploy Snowflake Semantic Views from your dbt project.

Python License


What is SST?

SST helps you build Snowflake Semantic Views—a standardized semantic layer that lives in Snowflake and powers AI and BI tools—all from within your dbt projects.

Why Semantic Views matter:

  • Cortex Analyst & Agents — Semantic views give Snowflake's AI the context it needs to accurately answer natural language questions about your data
  • BI Tools — Sigma, Tableau, and other tools can consume semantic views for consistent metrics and definitions across your organization
  • Single source of truth — Define metrics, relationships, and business logic once in Snowflake, use everywhere

What SST does:

  • Define semantics as code — Metrics, relationships, filters, verified queries as YAML in your dbt project
  • Deploy to Snowflake — Generate native SEMANTIC VIEW objects from your definitions
  • Enrich automatically — Pull column types, samples, and metadata from Snowflake schemas (including dbt sources)
  • Validate before deploy — 50+ validation rules catch errors before they reach Snowflake
  • Compile locally — Build a manifest for offline tooling, diffing, and CI/CD
  • Diff before deploy — Preview exactly what will change before touching Snowflake
  • Incremental deploys — Only regenerate views affected by your changes (--only-modified)
  • Version control everything — Your semantic layer lives in git alongside your dbt models

Quick Start

Installation

pip install snowflake-semantic-tools

Setup

cd your-dbt-project
sst init  # Interactive setup wizard

The wizard will:

  • Detect your dbt project and profile
  • Create sst_config.yml with defaults
  • Set up the semantic models directory
  • Generate example files

Basic Usage

# Enrich models with metadata from Snowflake
sst enrich --models customers,orders

# Validate your semantic models (offline, no Snowflake needed)
sst validate

# Preview what will change
sst diff

# Deploy to Snowflake (validates first, then generates)
sst generate --all

# Only deploy views affected by recent changes
sst generate --all --only-modified

Commands

Command Purpose
sst init Interactive setup wizard
sst enrich Add metadata to YAML from Snowflake (models + sources)
sst format YAML linter for consistency
sst compile Build local manifest (offline, for tooling/CI)
sst validate Check for errors (no Snowflake needed)
sst diff Preview semantic view changes before deployment
sst extract Load metadata to Snowflake tables
sst generate Create semantic views (with --dry-run and SQL file output)
sst deploy One-step: validate → extract → generate [DEPRECATED]
sst drop Remove semantic views (specific or prune orphans)
sst list Explore components from compiled manifest
sst clean Remove generated artifacts
sst debug Show config and test connection
sst migrate-meta Migrate legacy meta.sst to config.meta.sst

Key Features

Semantic Modeling

  • Define metrics, relationships, filters, verified queries, and custom instructions as YAML
  • Compose semantic views from multiple tables with join relationships
  • Template metrics with {{ metric('name') }} references

Enrichment

  • Auto-populate YAML with column types, sample values, synonyms, and enums
  • Enrich dbt sources (--include-sources, --sources-only, --source raw.orders)
  • AI-powered descriptions and synonym generation via Cortex

Validation

  • 50+ rules covering references, types, expressions, and structure
  • SQL syntax validation against Snowflake
  • Schema verification with fuzzy column matching
  • Cross-table metric column validation

Deployment

  • Incremental deploys with --only-modified (detects YAML + SQL changes)
  • Dry-run mode with SQL file output (--dry-run --output-dir)
  • Diff before deploy to preview additions, removals, and modifications
  • Compile to local manifest for CI/CD pipelines

Documentation

See the docs/ directory for comprehensive documentation:


Requirements

  • Python 3.10–3.11
  • Snowflake account
  • dbt project (dbt Core or dbt Cloud CLI)

Development Setup

git clone https://github.com/WhoopInc/snowflake-semantic-tools.git
cd snowflake-semantic-tools

poetry install --with dev
pre-commit install

sst --version
pytest tests/unit/

See CONTRIBUTING.md for detailed development guidelines.


Contributing

We welcome contributions! Please see CONTRIBUTING.md for:

  • How to report issues
  • Development setup instructions
  • Code style guidelines
  • Pull request process

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Metadata

Release files for snowflake-semantic-tools 0.3.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for snowflake-semantic-tools 0.3.3
File Size Uploaded Provenance
snowflake_semantic_tools-0.3.3.tar.gz 327.8 kB With provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for snowflake-semantic-tools 0.3.3
File Interpreter ABI Platform
snowflake_semantic_tools-0.3.3-py3-none-any.whl Python 3 none any Details

Total release size: 735.3 kB

Release files / snowflake_semantic_tools-0.3.3.tar.gz

Download URL snowflake_semantic_tools-0.3.3.tar.gz
Size 327.8 kB
Tags Source
SHA-256 checksum
How to use checksums
cb702a2154ca45abbcbbc6bfb4dea1f9ea77fb4fa30f4a995d71a2307becd8fe
BLAKE2b-256 checksum
How to use checksums
0ebc7cb63fcef14ed25c915f626b545828d3179044444ace5036216376a46aad
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.

Transparency log

Release files / snowflake_semantic_tools-0.3.3-py3-none-any.whl

Download URL snowflake_semantic_tools-0.3.3-py3-none-any.whl
Size 407.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ae2276ea309b2c1f2a647be63c4d59171e3a1af82cfdf9656b83cf9a9a3c3e92
BLAKE2b-256 checksum
How to use checksums
15597ccb649b603b67ff89546c9d5dc5a942e42d95ead1dee3cc3d979fb2cc44
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.

Transparency log

Security for snowflake-semantic-tools 0.3.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for snowflake_semantic_tools-0.3.3.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page