#How to install sqlite in anaconda install
You can override the default Docker install by appending new arguments: docker run -it -p 8080:8080 -v ` pwd`/mydata:/label-studio/data heartexlabs/label-studio:latest label-studio -log-level DEBUG Build a local image with Docker Or for Windows, you have to modify the volumes paths set by -v option.
#How to install sqlite in anaconda windows
my_project directory, run the following: docker run -it -p 8080:8080 -v ` pwd`/mydata:/label-studio/data heartexlabs/label-studio:latest Install with Docker on Windows To install and start Label Studio at storing all labeling data in. Make sure you have Docker installed on your machine. Label Studio is also available as a Docker container. See start Label Studio for more options when starting Label Studio. The default web browser opens automatically at with Label Studio. Run the following: pip install label-studioĪfter you install Label Studio, start the server with the following command: label-studio To install Label Studio with pip, you need Python version 3.7 or later.
To install Label Studio with pip and a virtual environment, you need Python version 3.7 or later. We highly recommend using a virtual environment (venv or conda) to reduce the likelihood of package conflicts or missing packages. Install Label Studio in a clean Python environment. If using other web browsers, or older versions of supported web browsers, unexpected behavior could occur. Label Studio is tested with the latest version of Google Chrome and is expected to work in the latest versions of: PostgreSQL version 11.5 or SQLite version 3.35 or higher. for example, t3.large or t3.xlarge on Amazon AWS.įor more on using Label Studio at scale and labeling performance, see Start Label Studio. Use a minimum of 8GB RAM, but 16GB RAM is recommended. 50GB of disk space is recommended for production instances. As a benchmark, 1 million labeling tasks take up approximately 2.3GB on disk when using the SQLite database. Server requirementsĪllocate disk space according to the amount of data you plan to label. To use a different port, specify it when starting Label Studio. Label Studio expects port 8080 to be open by default.
You can install Label Studio on a Linux, Windows, or MacOSX machine running Python 3.6 or later. Choose the installation method that works best for your environment: Install Label Studio on premises or in the cloud.
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