{"repo":"datalens-tech/datalens","free":true,"listed":false,"github":"https://github.com/datalens-tech/datalens","clone":"git clone https://github.com/datalens-tech/datalens.git","description":"A modern, scalable analytics system","language":"PLpgSQL","stars":1695,"topics":["analytics","bi","business-intelligence","dashboards","reporting","sql","visualization"],"license":"Apache-2.0","category":"analytics","readme_excerpt":"DataLens · DataLens is a modern business intelligence and data visualization system. It was developed and extensively used as a primary BI tool in Yandex and is also available as a part of Yandex Cloud platform. See also our roadmap, releases notes and community in telegram. Getting started Installing Docker DataLens requires Docker to be installed. Follow these instructions depending on the platform you use: - macOS - Linux - Windows Note about Docker Compose: - The new Docker Compose plugin is available as the docker-compose-v2 package on Ubuntu 20.04/22.04/24.04 from the base APT repository. - The minimal supported version of the legacy docker-compose utility (as a separate package) is 1.29.0 . It is included in the base APT repository as the docker-compose package only on Ubuntu 22.04. Running containers Clone repository: For the quick start use the following command to start DataLens containers: This command will launch all containers required to run DataLens, and the UI will be available on http://localhost:8080 (default user and password is admin , admin ). Using different port for UI If you want to use a different port (e.g. 8081 ), you can set it using the UI PORT env variable: However, for production usage we recommend generating a compose file with random secrets: Randomly generated admin password will be stored in the .env file and printed to terminal. Note: You can find all script arguments by running the ./init.sh --help command Notice on Highcharts usage","default_branch":null,"files":null,"tree":[],"storefront":"/r/datalens-tech","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/datalens-tech/datalens/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}