Datumbox
Datumbox offers an innovative Machine Learning platform specialized in Natural Language Processing.
Integrate the Datumbox API with the Python API
Setup the Datumbox API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Datumbox and Python remarkably fast. Free for developers.
Popular Datumbox and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Datumbox#
The Datumbox API offers a robust suite of Machine Learning services that can enrich your applications with advanced text analysis, sentiment analysis, classification, and more. Leveraging this API on Pipedream allows you to create powerful serverless workflows that connect Datumbox's capabilities with numerous other apps and services. Automate content categorization, extract insights from user feedback, or monitor social media sentiment in real-time.
Connect Datumbox#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
datumbox: {
type: "app",
app: "datumbox",
}
},
async run({steps, $}) {
return await axios($, {
url: `http://api.datumbox.com/1.0/SentimentAnalysis.json`,
params: {
api_key: `${this.datumbox.$auth.api_key}`,
text: `YOUR_TEXT`,
},
})
},
})
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#
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}}