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Tellery is a BI tool connecting your data and team. As easy as using a notebook. As powerful as a data modelling tool.
Instead of querying on tables and columns directly, Tellery users can operate on data assets, which are well-maintained models in your workspace. It makes your metrics more consistent and easier to maintain.
To deliver better value of the data assets, Tellery comes with a notebook interface and a bucket of building blocks. From reports to dashboards, you can tailor it to your need to unlock the value of data.
- Familiar notebook interface where you can create charts and texts with drag-and-drop ease
- Declare data assets using SQL and reuse them everywhere
- Integrate with dbt repository and import dbt models as data assets
- A modern SQL editor with multi-tabs and auto-complete
- Write analytical narratives using Markdown syntax
- Capture exploratory analyses and associate them with bi-directional links
- Collaborate and review work in real-time with multiplayer
Try this online demo where you can click around and see Tellery in action - no installation required!
Open your terminal, and run:
# Clone the Tellery repo
git clone https://github.com/tellery/tellery.git
# Change directories into the demo directory
cd tellery/deploy/compose
# View or edit config file (optional)
# vim .env
# Run docker compose
docker-compose up
You can now access it on http://localhost:8000.
The default account is [email protected]
and password is tellery
.
Learn how to start analysis with Tellery:
- Configure a database to connect to your own dataset
- Create a new story
- Looking to get answers to questions? Join the chat on Slack
- Want to report a bug or request a feature? Open an issue.
- Read all the latest news on Twitter
Contributions of any kind welcome! If you’re looking for ways to get started, here's a list of ways to help us improve Tellery:
- Add a new database support in community-supported connectors
- Translation into other languages
- Issues with good first issue label
- Bugs and issues listed on GitHub