Fast and reliable feature management for the modern enterprise.
Emit new event when a new access token activity happens. See the documentation.
Emit new event when flag activity occurs. See the documentation.
Emit new event when user activity is noted. See the documentation.
Evaluates an existing feature flag for a specific user or in a general context. See the documentation.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Toggles the status of a feature flag, switching it from active to inactive, or vice versa. See the documentation
Updates an existing feature flag using a JSON object. See the documentation
The LaunchDarkly API provides programmatic control over feature flags and toggle management, allowing for real-time updates across different environments. By leveraging these capabilities with Pipedream, developers can automate feature rollouts, audience targeting, and performance monitoring. Through Pipedream's event-driven architecture, you can orchestrate workflows that react to changes in LaunchDarkly, sync feature flag data with other tools, and manage flag lifecycles with precision.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
launchdarkly: {
type: "app",
app: "launchdarkly",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.launchdarkly.com/api/v2/projects`,
headers: {
"authorization": `${this.launchdarkly.$auth.access_token}`,
},
})
},
})
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}}