Your Machine Learning and Data Science Community
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
The Kaggle API allows you to harness a trove of data science and machine learning resources. With this API, you can download datasets, make competition submissions, and interact with Kaggle forums directly. By leveraging Pipedream's capabilities, you can automate repetitive tasks, integrate Kaggle with other applications, and create custom workflows to augment your data science projects.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
kaggle: {
type: "app",
app: "kaggle",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.kaggle.com/api/v1/datasets/list`,
auth: {
username: `${this.kaggle.$auth.username}`,
password: `${this.kaggle.$auth.api_key}`,
},
params: {
"": ``,
},
})
},
})
Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores.
This includes installing NPM packages, within your code without having to manage a package.json
file or running npm install
.
Below is an example of installing the axios
package in a Pipedream Node.js code step. Pipedream imports the axios
package, performs the API request, and shares the response with subsequent workflow steps:
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
return steps.trigger.event
},
})