Integrate the BigML API with the GitHub API

Setup the BigML API trigger to run a workflow which integrates with the GitHub API. Pipedream's integration platform allows you to integrate BigML and GitHub remarkably fast. Free for developers.

Popular Ways to Connect BigML with GitHub#

Create Issue with GitHub API on New Model Created from BigML API

BigML + GitHub

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Create Issue with GitHub API on New Prediction Made from BigML API

BigML + GitHub

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Search Issues and Pull Requests with GitHub API on New Model Created from BigML API

BigML + GitHub

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Search Issues and Pull Requests with GitHub API on New Prediction Made from BigML API

BigML + GitHub

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Create Batch Prediction with BigML API on New Branch (Instant) from GitHub API

GitHub + BigML

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Popular BigML and GitHub Triggers#

New Model Created from the BigML API

Emit new event for every created model. See docs here.

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New Prediction Made from the BigML API

Emit new event for every made prediction. See docs here.

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New Branch from the GitHub API

Emit new event when a branch is created See the documentation

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New Card in Column (Classic Projects) from the GitHub API

Emit new event when a (classic) project card is created or moved to a specific column. For Projects V2 use New Issue with Status trigger. More information here

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New Collaborator from the GitHub API

Emit new event when a collaborator is added See the documentation

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Popular BigML and GitHub Actions#

Create Batch Prediction with the BigML API

Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.

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Create Issue with the GitHub API

Create a new issue in a Gihub repo. See docs here

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Create Model with the BigML API

Create a model based on a given source ID, dataset ID, or model ID. See the docs.

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Search Issues and Pull Requests with the GitHub API

Find issues and pull requests by state and keyword. See docs here

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Create Source (Remote URL) with the BigML API

Create a source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.

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Overview of BigML#

The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.

Connect BigML#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bigml: {
      type: "app",
      app: "bigml",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://bigml.io/andromeda/source`,
      params: {
        username: `${this.bigml.$auth.username}`,
        api_key: `${this.bigml.$auth.api_key}`,
      },
    })
  },
})

Overview of GitHub#

The GitHub API is a powerful gateway to interaction with GitHub's vast web of data and services, offering a suite of endpoints to manipulate and retrieve information on repositories, pull requests, issues, and more. Harnessing this API on Pipedream, you can orchestrate automated workflows that respond to events in real-time, manage repository data, streamline collaborative processes, and connect GitHub with other services for a more integrated development lifecycle.

Connect GitHub#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    github: {
      type: "app",
      app: "github",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.github.com/user`,
      headers: {
        Authorization: `Bearer ${this.github.$auth.oauth_access_token}`,
        "X-GitHub-Api-Version": `2022-11-28`,
      },
    })
  },
})