TMetric is a time tracking app to increase productivity and business efficiency.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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:
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}`,
},
})
},
})
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:
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}}