Appwrite

Build your entire backend within minutes and scale effortlessly using Appwrite's open-source platform. Add Authentication, Databases, Functions, Storage, and Messaging to your projects using the frameworks and languages of your choice.

Integrate the Appwrite API with the Python API

Setup the Appwrite API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Appwrite and Python remarkably fast. Free for developers.

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Create Account with the Appwrite API

Register a new account in your project. See the documentation

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Create Team with the Appwrite API

Create a new team. See the documentation

 
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Get Members with the Appwrite API

Get accounts setup information. See the documentation

 
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Overview of Appwrite

Appwrite is a secure backend server geared towards providing developers with a set of easy-to-use APIs to manage core backend needs such as user authentication, databases, file storage, and more. With Appwrite's API, you can streamline backend development processes, ensuring quick and secure application development. Integrating Appwrite with Pipedream allows for the automation of processes like user management, data manipulation, and real-time updates cross-platform.

Connect Appwrite

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    appwrite: {
      type: "app",
      app: "appwrite",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://cloud.appwrite.io/v1/users`,
      headers: {
        "X-Appwrite-Project": `${this.appwrite.$auth.project_id}`,
        "X-Appwrite-Key": `${this.appwrite.$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

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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

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo