Unlock the full potential of your business with TimeTonic's powerful NoCode platform. Centralize information, custom create collaborative business apps and automate workflows to seamlessly connect your data, teams and processes for improved efficiency and productivity.
Create a new row within an existing table in TimeTonic. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Deletes a row within an existing table in TimeTonic. See the documentation
Perform a search across table rows based on given criteria. See the documentation
Updates the values within a specified row in a table. See the documentation
TimeTonic API on Pipedream allows you to automate workflows involving project management and data organization. With TimeTonic, you can create, update, retrieve, and manage databases and tables dynamically, ideal for businesses looking to streamline operations like task tracking, inventory management, and team collaboration. Leveraging Pipedream's capabilities, you can integrate TimeTonic with numerous other apps to automate data flow across platforms, trigger actions based on specific conditions, and maintain real-time synchronization of business operations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
timetonic: {
type: "app",
app: "timetonic",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://timetonic.com/live/api.php`,
params: {
req: `getAllBooks`,
o_u: `${this.timetonic.$auth.user_id}`,
u_c: `${this.timetonic.$auth.user_id}`,
sesskey: `${this.timetonic.$auth.api_key}`,
},
})
},
})
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:
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}}