https://github.com/norgeitall/norgeitall

Dashbord for Norge
https://github.com/norgeitall/norgeitall

analytics echarts evidence-dev markdown sql svelte sveltekit

Last synced: about 2 months ago
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Dashbord for Norge

• Host: GitHub
• URL: https://github.com/norgeitall/norgeitall
• Owner: norgeitall
• Created: 2025-02-19T16:48:11.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-25T17:48:25.000Z (over 1 year ago)
• Last Synced: 2025-02-25T18:40:43.382Z (over 1 year ago)
• Topics: analytics, echarts, evidence-dev, markdown, sql, svelte, sveltekit
• Language: JavaScript
• Homepage: https://www.norgeitall.no
• Size: 1.13 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

          
[![CI](https://github.com/norgeitall/norgeitall/actions/workflows/ci.yml/badge.svg)](https://github.com/norgeitall/norgeitall/actions) [![Netlify Status](https://api.netlify.com/api/v1/badges/de5a3ecd-f354-43e0-82bd-53f9555a0f16/deploy-status)](https://app.netlify.com/sites/norgeitall/deploys)

# Norge i tall

_Norge i tall_ is built on [Evidence - Business Intelligence as Code](https://evidence.dev/). In addition, we use Python to build data sources.

## How it works

[`main.py`](main.py) fetches data from APIs and websites such as OECD’s and Norges Bank’s. It then stores this data as CSV files in [`sources/oecd/`](sources/oecd), [`sources/norges_bank`](sources/norges_bank), and so on.

Then, Evidence makes these CSV files available to query with SQL, and builds the website based on Markdown files.

## Development environment setup

### Prerequisites

1. Python package and project manager [uv](https://docs.astral.sh/uv/)

2. JavaScript runtime environment [Bun](https://bun.com/)

### Setup

```bash

git clone git@github.com:norgeitall/norgeitall.git  # Clone the repository

cd norgeitall  # Navigate into the project folder

uv sync  # Install Python dependencies

bun install --frozen-lockfile  # Install Node.js dependencies

source .venv/bin/activate  # Activate Python virtual environment

pre-commit install  # Install pre-commit hooks

pre-commit run --all-files  # Run automatic quality checks

./main.py  # Fetch data and store in CSV files

bun run sources  # Extract data from sources

bun run dev  # Start development server

```

[http://localhost:3000/](http://localhost:3000/) should now be opened in your default browser.