Tellery transforms how you work with data by enabling users to create metrics using SQL, streamlining communication and collaboration within teams. In this guide, we’ll explore how to get started with Tellery, delve into its key features, and provide troubleshooting tips to ensure a smooth experience.

Why Choose Tellery?

Tellery allows business users to derive insights from their data without getting bogged down in technical jargon or complex tools. Say goodbye to scattered metrics and inefficient workflows—Tellery offers a unified platform for metric management.

Getting Started with Tellery

Try the Online Demo

Experience Tellery in action without any installations! Click around in the online demo to see its capabilities firsthand.

Run the Demo Project with Docker

To run Tellery locally, follow these steps:

# Clone the Tellery repo
git clone https://github.com/tellery/tellery.git

# Change directories into the demo directory
cd tellery/deploy/compose

# Optionally view or edit the config file
# vim .env

# Run docker compose
docker-compose up

Access Tellery at http://localhost:8000 using the default credentials: admin@tellery.local / tellery.

Production Setup

For advanced deployments, consider setting up Tellery with Kubernetes.

Key Features of Tellery

• Intuitive Interface: Empower business users to extract insights effortlessly.
• Visual Dashboards: Create stunning documents with drag-and-drop functionality.
• Rich Text Editing: Utilize markdown support and rich text styling efficiently.
• Modern SQL Editor: Enjoy multi-tabs and auto-completion for an enhanced coding experience.
• Real-time Collaboration: Work together seamlessly with multiplayer features.
• Data Model Integration: Import dbt models and inspect their metadata easily.

Troubleshooting Tips

If you encounter issues while using Tellery, here are some common troubleshooting ideas:

• Make sure Docker is installed and running correctly.
• Check your environment configuration file (.env) for any missing parameters.
• Verify that the required ports are open, and no other applications are using the default port (8000).
• If the demo does not load, refresh your browser or check your internet connection.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Community Support and Contributions

To enhance your experience and connect with others:

• Join the chat on Discord for quick answers.
• Report bugs or suggest features via GitHub issues.
• Follow the latest updates on Twitter.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.