How to Install Chartbrew on Windows 11

Chartbrew is a powerful tool that allows users to visualize and monitor data in real-time. In this tutorial, we will explain how to install Chartbrew on Windows 11.

Prerequisites

Before installing Chartbrew on Windows 11, you need to ensure that the following is installed on your computer:

Step 1: Clone the repository

Open Git Bash (or command prompt) and navigate to the folder in which you want to install Chartbrew. Then, run the following command to clone the Chartbrew repository:

git clone https://github.com/chartbrew/chartbrew.git

This will create a new folder called "chartbrew" in your current directory.

Step 2: Install dependencies

Open the command prompt and navigate to the "chartbrew" folder. Then, run the following command to install the necessary dependencies:

npm install

This will install all the dependencies required for Chartbrew to run.

Step 3: Configure the database

Chartbrew requires a database to store the data. In this tutorial, we will use PostgreSQL.

  1. Install PostgreSQL on your computer following the instructions provided by the PostgreSQL documentation.

  2. Once PostgreSQL is installed, configure the database by creating a new database and user.

  3. Open the "config" folder in the Chartbrew directory and create a new file called ".env".

  4. Copy the contents of the ".env.example" file and paste it into the new ".env" file.

  5. Replace the values in the new ".env" file with the appropriate values for your database. For example:

POSTGRES_DATABASE=mydatabase
POSTGRES_USER=myuser
POSTGRES_PASSWORD=mypassword
POSTGRES_HOST=localhost
POSTGRES_PORT=5432

Step 4: Start Chartbrew

Now that Chartbrew is installed and the database is configured, you can start Chartbrew.

  1. Open the command prompt and navigate to the "chartbrew" folder.

  2. Run the following command to start Chartbrew:

npm start
  1. Chartbrew should now be running on http://localhost:3000/

Congratulations! You have successfully installed Chartbrew on Windows 11. You can now start exploring the powerful data visualization and monitoring features of Chartbrew.

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