Everhour

Everhour is one of the best time tracking tools for teams. See who’s tracking time, who’s overworked and who can handle more. Keep track of all your project budgets, schedule threshold alerts, use forward resource planning. Build any kind of reports and send professional-looking invoices.

Integrate the Everhour API with the Python API

Setup the Everhour API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Everhour 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 Everhour

Everhour provides an API that gives developers access to theEverhour data. This
allows developers to build integrations withEverhour that can display data in
new ways, or automate tasks such as tracking time or creating projects.

Some examples of what can be built using the Everhour API include:

  • A time tracking app that integrates with Everhour to display data in a new
    way, or automate tasks such as tracking time or creating projects.
  • A project management app that uses Everhour to track project progress and
    tasks.
  • An invoicing app that integrates with Everhour to create invoices based on
    time tracking data.
  • A reporting app that uses Everhour data to generate reports on project
    progress or team performance.

Connect Everhour

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    everhour: {
      type: "app",
      app: "everhour",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.everhour.com/users/me`,
      headers: {
        "Content-Type": `application/json`,
        "X-Api-Key": `${this.everhour.$auth.api_token}`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

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}}