What do you want to automate
with Manifestly Checklists and Python?
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Popular Manifestly Checklists and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Manifestly Checklists#
Manifestly Checklists API allows for the creation, management, and tracking of detailed checklists within your workflows. Leveraging this API in Pipedream, you can automate checklist operations, which is indispensable for ensuring consistency in processes like onboarding, maintenance schedules, or content publication. By integrating Manifestly with other apps on Pipedream, you can build seamless automation that triggers actions based on checklist status, responses, or completion.
Connect Manifestly Checklists#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
manifestly_checklists: {
type: "app",
app: "manifestly_checklists",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.manifest.ly/api/v1/users/`,
params: {
api_key: `${this.manifestly_checklists.$auth.api_key}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies