Plot your spicy quantum measurements with ease
Project description
Qimchi
Plotly based data visualization tool for xarray data. Optimized to work with the qcutils package. Qimchi expects the data to be zarr formatted xarray files, documentation for handling these files can be found here.
Full API documentation and more can be found here
Installation
Qimchi supports multiple installation methods, including Docker, uv, and pip. We recommend using Docker, as it provides a containerized environment that isolates Qimchi from your local system. This ensures a smooth setup with all required dependencies and avoids potential conflicts with other software.
This guide provides instructions for installing Qimchi using various methods. Choose the one that best suits your use case.
Docker Installation
[!tip] Recommended, scroll down for local installation instructions.
Prerequisites
First, ensure Docker is installed on your system. You can find installation instructions on the official Docker website.
[!important] Docker might require administrative privileges to be installed and run.
Basic Setup
To get started quickly without domain configuration, use the following compose.yaml file:
networks:
squad:
driver: bridge
services:
qimchi:
image: registry.gitlab.com/squad-lab/qimchi:latest
container_name: qimchi
profiles: ["webdev"]
restart: unless-stopped
ports:
- 80:80
volumes:
- ./qimchi/data:/root/.qimchi/
- /your/data/:/data/
networks:
- squad
Environment variables can be provided via a .env file:
NUM_WORKERS=10
This setup exposes Qimchi on localhost:80.
Advanced Setup (with Cloudflare Domain + HTTPS)
For production deployments with HTTPS and domain support (e.g., via Cloudflare), use the following compose.yaml configuration:
networks:
squad:
driver: bridge
services:
nginx:
image: nginx:latest
container_name: nginx
profiles: ["webdev"]
user: root
restart: unless-stopped
volumes:
- ./nginx/conf.d:/etc/nginx/conf.d
- ./nginx/letsencrypt:/etc/letsencrypt
- ./nginx/html:/usr/share/nginx/html
ports:
- 80:80
- 443:443
networks:
- squad
certbot:
image: certbot/dns-cloudflare
container_name: certbot
profiles: ["webdev"]
restart: unless-stopped
env_file:
- .env
volumes:
- ./nginx/letsencrypt:/etc/letsencrypt
- ./nginx/html:/usr/share/nginx/html
- ./nginx/certbot-secrets:/certbot-secrets
entrypoint: >
/bin/sh -c '
echo "dns_cloudflare_api_token=$$CLOUDFLARE_API_TOKEN" > /certbot-secrets/cloudflare.ini;
chmod 600 /certbot-secrets/cloudflare.ini;
trap exit TERM;
while :; do certbot renew; sleep 12h & wait $${!}; done;
'
networks:
- squad
qimchi:
image: registry.gitlab.com/squad-lab/qimchi:latest
container_name: qimchi
profiles: ["webdev"]
restart: unless-stopped
volumes:
- ./qimchi/data:/root/.qimchi/
- /your/data/:/data/
networks:
- squad
Environment file .env example:
CLOUDFLARE_API_TOKEN=your_cloudflare_api_token
NUM_WORKERS=10
Example NGINX configuration (./nginx/conf.d/default.conf):
server {
listen 80;
server_name example.domain.org;
# Redirect all HTTP traffic to HTTPS
location / {
return 301 https://$host$request_uri;
}
}
server {
listen 443 ssl;
server_name plot.domain.org;
ssl_certificate /etc/letsencrypt/live/domain.org/fullchain.pem;
ssl_certificate_key /etc/letsencrypt/live/domain.org/privkey.pem;
location / {
proxy_pass http://qimchi:80;
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "Upgrade";
}
}
This setup uses Certbot with Cloudflare for automatic TLS certificate renewal. Be sure to replace domain.org and plot.domain.org with your actual domain names.
[!note] The
CLOUDFLARE_API_TOKENenvironment variable is used to authenticate with Cloudflare's DNS API for domain verification.
Local Installation
With uv
Follow the official instructions from Astral's website to install uv.
uv manages virtual environments and dependencies for you, making it easier to work
with Python packages. For this project, we include the lock file which allows you to use
the exact package versions we used to develop the package.
Measure and Plot
uv init measurement_name
cd measurement_name
uv add qimchi
This method should automatically generate a virtual environment and install the package
with all its dependencies. To add more packages to the current measurement/project, you
can use the uv add command. For example, to add qcodes to the current project, run:
uv add qcodes
uv automatically creates and manages the virtual environment for you.
Run Qimchi
To run Qimchi, use the following command:
uv run -m qimchi
This command will start the Qimchi application, and you can access it in your web browser at http://localhost. If you can't. please check if you are allowed to have a hosted session at port 80. If not, you can run the application on a different port by using the -p option:
uv run -m qimchi -p 8080
With pip
Create and activate a virtual environment
On macOS or Linux:
python3 -m venv .venv
source .venv/bin/activate
On Windows:
python3 -m venv .venv
.venv\Scripts\activate
Install the package
pip install git+https://gitlab.com/squad-lab/qimchi.git
Run Qimchi
After activating the virtual environment, you can run the package with:
python -m qimchi
This command will start the Qimchi application, and you can access it in your web browser at http://localhost. If you can't. please check if you are allowed to have a hosted session at port 80. If not, you can run the application on a different port by using the -p option:
python -m qimchi -p 8080
Development Installation
We strongly recommend using uv for development. You can clone and install the package locally with uv.
git clone https://gitlab.com/squad-lab/qimchi.git
cd qimchi
uv add --dev .
This makes and installs qimchi in a virtual environment with all dependencies.
Measurements
Measurement examples while using qcutils can be found in its own repository. Refer to its repository for more details.
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