TMetric

TMetric is a time tracking app to increase productivity and business efficiency.

Integrate the TMetric API with the Python API

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

Using the TMetric API, developers can build a wide range of applications that
help track and manage work hours. The API allows developers to access rich
features and functionality such as task estimation, automated invoicing,
reporting and analysis, resource management, and one-click time tracking - All
of which can be used to help teams and organizations optimize their
performance.

Here are a few examples of what developers can create using the TMetric API:

  • Automate time tracking and billing: Gain insight into where resources are
    being used and how efficiently they are working. Automate the entire billing
    process - From time tracking and invoicing to expense tracking.
  • Project tracking: Monitor and analyze project progress from start to finish.
    Get a detailed overview of progress, deadlines, and other performance
    metrics.
  • Resource management: Manage available resources within the team. Track and
    compare availability for specific time periods and identify opportunities for
    optimization.
  • Task estimation: Estimate the amount of time needed to complete tasks.
    Calculate estimated billable hours for project-specific time tracking.
  • Real-time reporting: Generate meaningful real-time reports from ongoing
    projects. Keep up-to-date on progress and provide analytics and insights to
    help inform decision-making.

Connect TMetric

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    tmetric: {
      type: "app",
      app: "tmetric",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.tmetric.com/api/v3/user`,
      headers: {
        Authorization: `Bearer ${this.tmetric.$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}}