gbsync 1.0.0b1

Sync metrics and fact tables to GrowthBook

gbsync

Sync artifacts to GrowthBook using a version-controlled YAML configuration. gbsync manages your experiment infrastructure as code, enabling reproducible deployments and safe collaboration.

Currently supports:

• Fact Tables
• Fact Table Filters
• Fact Metrics
• Environments

Features

• Infrastructure as Code: Define growthbook artifacts in YAML so that it can be version controlled
• Dry-Run Planning: See what will change before applying
• Safe Syncing: Automatic conflict detection and validation
• API-Managed Resources: Mark resources to prevent manual UI edits
• External File Includes: Organize SQL in separate files

Installation

From PyPI

pip install gbsync

From Source

git clone https://github.com/growthbook/gbsync.git
cd gbsync
pip install -e .

Requirements

• Python 3.12 or higher
• GrowthBook account with API access

Quick Start

1. Get Your API Credentials

1. Log into GrowthBook
2. Go to Settings → API Keys
3. Create a new API key (or copy existing)
4. Note the API URL (e.g., https://api.growthbook.io)

2. Set Environment Variables

export GB_API_KEY="your_api_key"
export GB_API_URL="https://api.growthbook.io"

3. Create Configuration

Copy the example configuration:

cp examples/gbsync.yaml gbsync.yaml

Edit gbsync.yaml with your datasource ID, SQL, and metrics:

factTables:
  - id: fact_events
    data:
      name: Events
      datasource: ds_YOUR_DATASOURCE_ID
      userIdTypes: [user_id]
      sql: !include fact_tables/events.sql

factMetrics:
  - id: metric_conversion_rate
    data:
      name: Conversion Rate
      metricType: ratio
      numerator:
        factTableId: fact_events
        column: conversions
      denominator:
        factTableId: fact_events
        column: total_events

4. Plan Changes

See what will be created/updated/deleted:

gbsync plan

Output:

GrowthBook: Planning changes...

Tables:
  ✓ Create: Events

Metrics:
  ✓ Create: Conversion Rate

Ready to apply 2 changes

5. Apply Changes

gbsync apply

Output:

GrowthBook: Planning changes...

Tables:
  ✓ Create: Events

Metrics:
  ✓ Create: Conversion Rate

Ready to apply 2 changes
Proceed with apply? [y/N]: y

✓ Applied successfully

Commands

plan

Preview changes without applying them.

gbsync plan [OPTIONS]

Options:

• --config, -c: Path to configuration file (default: gbsync.yaml)
• --api-key: GrowthBook API key (or GB_API_KEY env var)
• --api-url: GrowthBook API URL (or GB_API_URL env var)

Example:

gbsync plan --config ./metrics/prod.yaml
gbsync plan --api-key "sdk-abc123..."

apply

Apply changes to GrowthBook.

gbsync apply [OPTIONS]

Options:

• --config, -c: Path to configuration file (default: gbsync.yaml)
• --api-key: GrowthBook API key (or GB_API_KEY env var)
• --api-url: GrowthBook API URL (or GB_API_URL env var)
• --auto-approve: Skip confirmation prompt (use with caution)

Example:

gbsync apply
gbsync apply --auto-approve  # Dangerous: skips confirmation

Configuration

Basic Structure

projects:
  - id: proj_analytics
    data:
      name: Analytics
      description: Analytics project

factTables:
  - id: fact_table_id
    data:
      name: Table Name
      datasource: ds_123
      userIdTypes: [user_id]
      sql: SELECT ... FROM ...

factTableFilters:
  - id: filter_id
    factTableId: fact_table_id
    data:
      name: Filter Name
      value: "WHERE clause"

factMetrics:
  - id: metric_id
    data:
      name: Metric Name
      metricType: ratio
      numerator:
        factTableId: fact_table_id
        column: column_name

Key Concepts

Fact Tables: SQL queries that define event data

factTables:
  - id: fact_events
    data:
      name: Events
      datasource: ds_abc123
      userIdTypes: [user_id, anonymous_id]
      sql: |
        SELECT
          user_id,
          anonymous_id,
          event_date,
          event_type
        FROM events
        WHERE event_date >= '{{ startDate }}'
          AND event_date < '{{ endDate }}'

Filters: Reusable WHERE clause conditions

factTableFilters:
  - id: filter_production
    factTableId: fact_events
    data:
      name: Production Only
      value: "environment = 'production'"

Metrics: Aggregations computed from fact tables

factMetrics:
  - id: metric_conversion_rate
    data:
      name: Conversion Rate
      metricType: ratio
      numerator:
        factTableId: fact_conversions
        column: conversions
        filters: [filter_production]
      denominator:
        factTableId: fact_events
        column: null
        filters: [filter_production]

Metric Types:

• proportion: Numerator / total events
• ratio: Numerator / denominator
• mean: Average of column values
• quantile: Percentile value
• dailyParticipation: Daily participation rate

See docs/CONFIG.md for complete schema reference.

API-Managed Resources:

Mark resources with managedBy: api to allow deletion:

factTables:
  - id: fact_events
    data:
      managedBy: api
      # ... other fields

Resources created by the API get managedBy: "api". Manual resources (created in UI) are never deleted, only updated if config changes.

Template Variables

Preserve GrowthBook template variables in SQL:

sql: |
  SELECT *
  FROM events
  WHERE date >= '{{ startDate }}'
    AND date < '{{ endDate }}'
    AND experiment_id = '{{ experimentId }}'

These variables are preserved during config rendering and evaluated at runtime by GrowthBook.

Step 4: Verify in GrowthBook

1. Log into GrowthBook
2. Check Metrics section
3. Verify "Paid Conversion Rate" metric exists
4. Use in experiments

Advanced Usage

Multiple Environments

Use separate configs for different environments:

gbsync plan --config gbsync.prod.yaml
gbsync apply --config gbsync.dev.yaml

Each config file can reference different datasources and environments.

Including External Files

Organize SQL in separate files:

factTables:
  - id: fact_events
    data:
      name: Events
      sql: !include fact_tables/events.sql
      
  - id: fact_conversions
    data:
      name: Conversions
      sql: !include fact_tables/conversions.sql

Documentation

• CONFIG.md - Complete configuration schema reference
• API.md - GrowthBook API details
• TROUBLESHOOTING.md - Common issues and solutions
• CONTRIBUTING.md - Development setup and guidelines
• examples/ - Reference configurations

Requirements

• Python 3.12+
• GrowthBook account with API access
• Supported data warehouses:
  • Snowflake
  • BigQuery
  • PostgreSQL
  • MySQL
  • Redshift
  • Athena
  • ClickHouse
  • MongoDB

Limitations

• API rate limits: 60 requests/min, 10,000 requests/hour
• SQL queries validated at GrowthBook (not locally)
• Some features may require GrowthBook Pro/Enterprise
• Manual edits in GrowthBook UI can cause conflicts

Getting Help

• Documentation: See docs/ directory
• Examples: See examples/ for reference configs
• Issues: https://github.com/growthbook/gbsync/issues
• GrowthBook Docs: https://docs.growthbook.io/
• GrowthBook Community: https://join.slack.com/t/growthbook-community/

License

This project is licensed under the MIT License. See LICENSE file for details.

Changelog

See CHANGELOG.md for version history and changes.

Next Steps

• Copy examples/gbsync.yaml to get started
• Read docs/CONFIG.md for configuration reference
• Check examples/ for reference configurations
• Run gbsync plan to preview changes
• Run gbsync apply to deploy metrics