{"repo":"naskio/docker-n8n-python","free":true,"listed":false,"github":"https://github.com/naskio/docker-n8n-python","clone":"git clone https://github.com/naskio/docker-n8n-python.git","description":"Docker image for running Python on n8n","language":"Dockerfile","stars":104,"topics":["n8n","workflows","workflow","docker","docker-compose","python","python3","docker-image","n8n-nodes-python","n8n-python"],"license":"MIT","category":"deployment-docker-iac","readme_excerpt":"n8n - docker image with Python 3.10 and custom node PythonFunction This image includes Python 3.10 by default. it can be used to run python scripts inside n8n using the Execute Command node or code snippets using the custom node Python Function. Run python 3.10 code on n8n. Docker Hub GitHub repository Image Setup Using docker compose docker-compose.yml Usage Run Python Code The image includes the custom module n8n-nodes-python by default. We can use this custom node Python Function to run a python code over the items (works the same way as Function node) Python Function node docs Run mounted Python scripts using the ExecuteCommand node You can run .py files that has been mounted to the container using the ExecuteCommand node. Installing external packages The ExecuteCommand node can be used to install python packages or install dependencies from a mounted requirements.txt file to the container. It can be combined with n8nTrigger to install packages directly after starting the container. Once the packages are installed, it can be used in the Python Function node. import Documentation The official n8n documentation can be found under: https://docs.n8n.io Additional information and example workflows on the n8n.io website: https://n8n.io Learn how to run n8n in Docker","default_branch":null,"files":null,"tree":[],"storefront":"/r/naskio","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/naskio/docker-n8n-python/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}