Integrate the Sourceforge API with the Python API

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

Popular Ways to Connect Sourceforge with Python#

Run Python Code with Python API on New Commit Received (Instant) from Sourceforge API

Sourceforge + Python

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Popular Sourceforge and Python Triggers#

New Commit Received (Instant) from the Sourceforge API

Emit new event when a repository receives a new commit.

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Popular Sourceforge and Python Actions#

Create Ticket with the Sourceforge API

Creates a new ticket. 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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List Projects with the Sourceforge API

Retrieves a list of projects in an account. See the documentation

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Update Ticket with the Sourceforge API

Updates an existing ticket. See the documentation

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Overview of Sourceforge#

The Sourceforge API provides programmable access to Sourceforge's repository hosting and collaborative features, allowing for automation of project management, file distribution, and reporting tasks. With this API on Pipedream, developers can create workflows to streamline software development processes, enhance collaboration, and integrate with other services for a more robust development lifecycle.

Connect Sourceforge#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sourceforge: {
      type: "app",
      app: "sourceforge",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://sourceforge.net/rest/u/${this.sourceforge.$auth.username}/profile`,
      headers: {
        Authorization: `Bearer ${this.sourceforge.$auth.bearer_token}`,
      },
    })
  },
})

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}}