with BitBucket and Scale AI?
Emit new event when a new commit is pushed to a branch. See docs here
Emit new event when a new pull request is created in a repository. See docs here
Emit new event when a new branch is created. See docs here
Emit new event when a commit receives a comment. See docs here
Emit new event when an event occurs from any repository belonging to the user. See docs here
Create a document transcription task. See the documentation
Create an image annotation task. See the documentation
Create a text annotation task. See the documentation
The BitBucket API taps the potential of BitBucket's Git-based version control system, enabling you to automate workflows around code commits, pull requests, and overall repository management. With this API, you can streamline the collaboration process, enforce coding standards, or integrate with other tools to create a cohesive development ecosystem. Pipedream, as a serverless integration and compute platform, provides a seamless environment to connect BitBucket with various apps and services, enabling you to harness its API for efficient, customized automations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bitbucket: {
type: "app",
app: "bitbucket",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.bitbucket.org/2.0/user`,
headers: {
Authorization: `Bearer ${this.bitbucket.$auth.oauth_access_token}`,
},
})
},
})
Scale AI offers an API to automate and streamline data labeling for machine learning applications, providing access to a global workforce and sophisticated tools. With Scale AI's API on Pipedream, you can integrate scalable data annotation workflows directly into your apps. Trigger tasks, manage datasets, and receive annotated data, all within Pipedream's serverless platform. This enables seamless automation of labeling tasks, integration with machine learning pipelines, and real-time updates on annotations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
scale_ai: {
type: "app",
app: "scale_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.scale.com/v1/teams`,
headers: {
"Accept": `application/json`,
},
auth: {
username: `${this.scale_ai.$auth.api_key}`,
password: ``,
},
})
},
})