Deploy a Python script — no server, no Docker.
Got a Python script or automation that runs on your machine? Snapdock puts it in the cloud on a schedule, watches every run, and explains failures in plain English. No servers, no Docker, no YAML.
How do I deploy a Python script?
You don't need a server or Docker. Upload the script to Snapdock; it auto-detects the entrypoint, dependencies, and runtime, fixes the Windows-to-Linux gotchas, and runs it on a schedule on a cloud machine 24/7 — then explains every run in plain English and alerts you if one fails.
Four steps, about ninety seconds.
Upload your Python.
Drag in a .py, a .zip, or the whole project. Snapdock finds the entrypoint and reads your dependencies — no requirements.txt wrangling.
Move secrets to the vault.
Any API keys go into the encrypted Secrets vault and are read with os.getenv at runtime — never hardcoded.
Pick a schedule.
A preset (every morning, hourly, weekdays at 9) or your own cron. It runs on a cloud machine, not your laptop.
Read every run in plain English.
A one-sentence summary of what each run did; a plain-English cause and likely fix if one fails.
Common snags — each has a guide.
Python deployment questions.
Do I need Docker or a requirements.txt to deploy a Python script?+
No. Snapdock auto-detects your dependencies and how the script runs — there's no Dockerfile, YAML, or build config. If a package is missing, the pre-flight says so in plain English.
Which Python versions are supported?+
Snapdock detects the runtime your project needs, so you don't pin a version by hand. Standard CPython projects with pip dependencies run as-is.
Can it run a long or recurring job?+
Yes — scheduled scripts run on a cloud machine on time, independent of your laptop. (Snapdock runs scheduled automations and scripts, not always-on web servers.)
What happens when the script errors?+
Snapdock turns the traceback into a plain-English sentence, points to the line, and hands you a likely fix — then alerts you by email, Slack, or Teams.