Lattice

Lattice is a people management platform that empowers leaders to build engaged, high-performing teams that inspire winning cultures.

Integrate the Lattice API with the Python API

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

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.

 
Try it

Overview of Lattice

The Lattice API enables you to tap into a powerful people management platform, ideal for handling performance reviews, goal setting, and employee engagement within your organization. When you combine Lattice with Pipedream, you unlock the potential for automating various HR processes, synchronizing employee data across systems, and generating real-time insights. Pipedream acts as a facilitator, providing you with a serverless platform where you can connect Lattice to a multitude of other apps and create custom workflows tailored to your company's needs.

Connect Lattice

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lattice: {
      type: "app",
      app: "lattice",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.latticehq.com/v1/goals`,
      headers: {
        Authorization: `Bearer ${this.lattice.$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

1
2
3
4
5
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}}