How to Install Noisedash on NixOS Latest

Noisedash is a noise monitoring system that collects acoustic data from sensors and provides analysis and visualization of the data. In this tutorial, we will go through the process of installing Noisedash on the latest version of NixOS.

Prerequisites

Before proceeding with the installation of Noisedash, ensure that you have the following prerequisites:

  • A running instance of NixOS Latest
  • Git installed on your system
  • Basic knowledge of the terminal

Installation Steps

Follow the steps below to install Noisedash on NixOS latest:

Step 1: Clone Noisedash Repository

The first step is to clone the Noisedash repository from GitHub. Open your terminal and run the following command:

$ git clone https://github.com/kaythomas0/noisedash.git

Step 2: Install Required Dependencies

Noisedash requires some dependencies to be installed on your system. Run the following command to install the required dependencies:

$ nix-shell --run "pip install -r requirements.txt"

Step 3: Configure the Application

Noisedash needs some configuration settings to work correctly. Open the config.py file and modify the following settings:

  • SQLALCHEMY_DATABASE_URI: Set the URI for the database. You can use the default SQLite database or set up an alternative database like PostgreSQL.
  • SECRET_KEY: Set the secret key for the application.

Step 4: Start the Application

Once the configuration settings are in place, you can start the Noisedash application. Run the following command:

$ nix-shell --run "python run.py"

Step 5: Access the Application

Noisedash is now up and running on your system. You can access the application by opening a web browser and navigating to the following URL:

http://localhost:5000/

You should see the Noisedash dashboard with all the acoustic data displayed in graphical form.

Conclusion

In this tutorial, we have shown you how to install Noisedash on NixOS Latest. With Noisedash, you can easily collect and analyze acoustic data, providing useful insights into noise pollution. Now that you have Noisedash up and running, you can start collecting and analyzing data to make informed decisions about noise management.