Grow revenue and take your business global with AI empowered translation and localization.
Emit new event when a resource language is completely translated, reviewed, or filled up by TM or MT.
Emit new event when the strings of a task are fully translated.
Downloads a user-specified file from the Transifex platform. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Uploads a given file to the Transifex platform. See the documentation
Transifex is a powerful cloud-based platform designed to help teams manage multilingual content effectively. With the Transifex API, you can automate the syncing of translations, manage localization projects, and streamline communication between developers and translators. Integrating Transifex with Pipedream allows you to connect your localization workflow with other services like GitHub, Slack, or email providers, enhancing productivity and reducing manual work.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
transifex: {
type: "app",
app: "transifex",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://rest.api.transifex.com/organizations`,
headers: {
Authorization: `Bearer ${this.transifex.$auth.api_token}`,
"Accept": `application/vnd.api+json`,
},
})
},
})
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}}