Keep track of your inventory of 3D-printer filament spools.
Spoolman is a web service that helps you keep track of your filament spools and how they are being used.
It acts as a database, where other printer software such as Octoprint and Moonraker can interact with to have a centralized place for spool information. For example, if used together with Moonraker, your spool weight will automatically be reduced as your print is progressing.
It exposes a HTTP API which services can interact with. See the OpenAPI description for more information.
Spoolman includes a web-client that lets you directly manipulate all the data. It also has a few additional nice features such as label printing.
The web client is translated by the community using Weblate.
Spoolman doesn't depend on any specific printer software, but to make the most out of it, you should use it together with a frontend that supports it. It is currently only supported in the Klipper ecosystem, with official support for the major frontends. Support for other ecosystems like Octoprint is ongoing.
- ✔️ Moonraker - See the Moonraker Documentation
- ✔️ Fluidd
- ✔️ KlipperScreen
- ✔️ Mainsail
- ✖️ Octoprint - A plugin is in progress: OctoPrint-Spoolman
- ✔️ Home Assistant integration (https://github.com/Disane87/spoolman-homeassistant)
Spoolman can interact with any of the following databases: SQLite, PostgreSQL, MySQL, MariaDB, CockroachDB. By default, SQLite is used which is a simple no-install database solution that saves to a single .db file located in the server's user directory.
Spoolman can be installed in two ways, either standalone on your machine or using Docker. If you already have Docker installed, it's recommended to use that.
This installation guide assumes you are using a Debian-based Linux distribution such as Ubuntu or Raspberry Pi OS. If you are using another distribution, please look inside the bash scripts to see what commands are being run and adapt them to your distribution.
Copy-paste the entire below command and run it on your machine to install Spoolman.
sudo apt-get update && \
sudo apt-get install -y curl jq && \
mkdir -p ./Spoolman && \
source_url=$(curl -s https://api.github.com/repos/Donkie/Spoolman/releases/latest | jq -r '.assets[] | select(.name == "spoolman.zip").browser_download_url') && \
curl -sSL $source_url -o temp.zip && unzip temp.zip -d ./Spoolman && rm temp.zip && \
cd ./Spoolman && \
bash ./scripts/install_debian.shUpdating Spoolman is quite simple. If you use the default database type, SQLite, it is stored outside of the installation folder (in ~/.local/share/spoolman), so you will not lose any data by moving to a new installation folder.
Copy-paste the entire below commands and run it on your machine to update Spoolman to the latest version. The command assumes your existing Spoolman folder is named Spoolman and is located in your current directory.
# Stop and disable the old Spoolman service
sudo systemctl stop Spoolman
sudo systemctl disable Spoolman
systemctl --user stop Spoolman
systemctl --user disable Spoolman
# Download and install the new version
mv Spoolman Spoolman_old && \
mkdir -p ./Spoolman && \
source_url=$(curl -s https://api.github.com/repos/Donkie/Spoolman/releases/latest | jq -r '.assets[] | select(.name == "spoolman.zip").browser_download_url') && \
curl -sSL $source_url -o temp.zip && unzip temp.zip -d ./Spoolman && rm temp.zip && \
cp Spoolman_old/.env Spoolman/.env && \
cd ./Spoolman && \
bash ./scripts/install_debian.sh && \
rm -rf ../Spoolman_oldYou can also run Spoolman using Docker. Docker is a platform for developing, shipping, and running applications in containers. Containers are lightweight, portable, and self-contained environments that can run on any machine with Docker installed.
To install Docker on your machine, follow the instructions for your operating system on the Docker website. Docker also includes the docker-compose tool which lets you configure the container deployment in a simple yaml file, without having to remember all the command line options. Note: older versions of docker-compose require you to have a dash (-) in the following commands, like docker-compose instead of docker compose.
Here is a sample docker-compose config to get you started. Copy-paste it into a file called docker-compose.yml and run docker compose up -d to start it. If you want to use the SQLite database as in this sample, you must first create a folder called data in the same directory as the docker-compose.yml, then you should run chown 1000:1000 data on it in order to give it the correct permissions for the user inside the docker container.
version: '3.8'
services:
spoolman:
image: ghcr.io/donkie/spoolman:latest
restart: unless-stopped
volumes:
# Mount the host machine's ./data directory into the container's /home/app/.local/share/spoolman directory
- type: bind
source: ./data # This is where the data will be stored locally. Could also be set to for example `source: /home/pi/printer_data/spoolman`.
target: /home/app/.local/share/spoolman # Do NOT change this line
ports:
# Map the host machine's port 7912 to the container's port 8000
- "7912:8000"
environment:
- TZ=Europe/Stockholm # Optional, defaults to UTCOnce you have it up and running, you can access the web UI by browsing to http://your.ip:7912. Make sure that the data folder you created now contains a spoolman.db file. If you cannot find this file in your machine, then your data will be lost every time you update Spoolman.
If a new version of Spoolman has been released, you can update to it by first browsing to the directory where you have the docker-compose.yml file and then running docker compose pull && docker compose up -d.
These are either set in the .env file if you use the standalone installation, or in the docker-compose.yml if you use Docker.
If you want to connect with an external database instead, specify the SPOOLMAN_DB_* environment variables from the table below.
| Variable | Description |
|---|---|
| SPOOLMAN_DB_TYPE | Type of database, any of: postgres, mysql, sqlite, cockroachdb |
| SPOOLMAN_DB_HOST | Database hostname |
| SPOOLMAN_DB_PORT | Database port |
| SPOOLMAN_DB_NAME | Database name |
| SPOOLMAN_DB_USERNAME | Database username |
| SPOOLMAN_DB_PASSWORD_FILE | Path of file which contains the database password. Can be used instead of SPOOLMAN_DB_PASSWORD if desired. |
| SPOOLMAN_DB_PASSWORD | Database password |
| SPOOLMAN_DB_QUERY | Query parameters for the database connection, e.g. set to unix_socket=/path/to/mysql.sock to connect using a MySQL socket. |
| SPOOLMAN_LOGGING_LEVEL | Logging level, any of: CRITICAL, ERROR, WARNING, INFO, DEBUG, defaults to INFO. |
| SPOOLMAN_AUTOMATIC_BACKUP | Automatic nightly DB backups for SQLite databases. Enabled by default, set to FALSE to disable. |
| PUID | (docker only) Set the UID of the user in the docker container. Default is 1000. |
| PGID | (docker only) Set the GID of the user in the docker container. Default is 1000. |
This is a limitation of the browsers. Browsers require a secure connection to the server to enable HTTPS. This is not a limitation of Spoolman. For more information read this blog from Mozilla.
You can put Spoolman behind a reverse proxy like Caddy or Nginx to enable HTTPS. See for example this guide for Caddy.
Yes, head over to Weblate to start the Translation
The Python backend runs on Python 3.9. It's built on FastAPI for the REST API, and SQLAlchemy to handle the databases.
To setup yourself for Python development, do the following:
- Clone this repo
- CD into the repo
- Install PDM:
pip install --user pdm - Install Spoolman dependencies:
pdm sync
And you should be all setup. Read the Style and Integration Testing sections below as well.
Black and Ruff is used to ensure a consistent style and good code quality. You can install extensions in your editor to make them run automatically.
Pre-commit is used to ensure the style is maintained for each commit. You can setup pre-commit by simply running the following in the Spoolman root directory:
pip install pre-commit
pre-commit install
The entire REST API is integration tested using an isolated docker container, with all 4 database types that we support (Postgres, MySQL, SQLite and CockroachDB). These integration tests live in tests_integration/. They are designed to "use" the REST API in the same way that a client would, and ensures that everything remains consistent between updates. The databases are created as part of the integration testing, so no external database is needed to run them.
If you have docker installed, you can run the integration tests using pdm run itest for all databases, or e.g. pdm run itest postgres for a single database.
The client is a React-based web client, built using the refine.dev framework, with Ant Design as the components.
To test out changes to the web client, the best way is to run it in development mode.
Prerequisites:
- NodeJS 20 or above installed, along with NPM. Running
node --versionshould print a correct version. - A running Spoolman server, with the following two environment variables added in the
docker-compose.yml:
environment:
- FORWARDED_ALLOW_IPS=*
- SPOOLMAN_DEBUG_MODE=TRUEInstructions:
- Open a terminal and CD to the
clientsubdirectory - Run
npm install. If it doesn't succeed, you probably have an incorrect node version. Spoolman is only tested on NodeJS 20. - Run
echo "VITE_APIURL=http://192.168.0.123:7901/api/v1" > .env, where the ip:port is the address of the running Spoolman server. This should create a.envfile in theclientdirectory. If you don't already have one running on your network, you can start one up using thedocker-compose.ymlshowed above. - Run
npm run dev. The terminal will print a "Local: xxxx" URL, open that in your browser and the web client should show up. Your existing spools etc in your Spoolman database should be loaded in. - Any edits in .ts/.tsx files will be automatically reloaded in your browser. If you make any change to .json files you will need to F5 in your browser.