Goblet is an easy-to-use framework that enables developers to quickly spin up fully featured REST APIs with python on GCP
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Updated
Aug 14, 2026 - Python
Goblet is an easy-to-use framework that enables developers to quickly spin up fully featured REST APIs with python on GCP
工学云全自动定时打卡(免服务器),支持微信消息推送(pushplus),零成本、低依赖、支持多用户多线程,一分钟即可部署
Google Cloud Build integration for Slack
云函数/自部署全球在线服务监控+消息推送。定时请求IP地址、HTTP服务运行状态,并在完成过后将监控结果推送到移动设备上。推送服务支持微信(pushplus)+系统级通知(ntfy、gotify)。无需服务器、轻量、稳定、低依赖、0成本、简单几步即可部署到各大云函数服务,稳定监控各个服务(器)运行状态。
Using Google Home, Cloud Functions, Cloud Datastore, Maps Direction API, and Cloud KMS to get your kid ETA from school
Google Cloud Function that enables stated API's for newly created projects.
Modernise your applications by levering Serverless from Google Cloud.
Main repo for WODCal: The Automated Workout Scheduler
Python backend built utilizing several Google Cloud Platform services. In addition, C++ connectivity, a robust cloud authentication system, Cloud Build CI/CD pipelines, process automation, and more.
Projeto criado para reportar no Twitter os resultados parciais das enquetes do Splash/UOL sobre o Big Brother Brasil
スプレッドシートのデータをCloud Storageに書き出すCloud Functions用スクリプト
Stooqifier is an automatic stock price Slack notification with chart image script that with pandas-datareader call Stooq.com API
This Project is about remove background api
Repo to source Exchange Rates
Collecting training data for fine tuning a model and building pipeline on the cloud to train the model.
In today’s data-driven world, organisations heavily rely on timely alerts to monitor critical systems and make informed decisions. However, when working with BigQuery, a popular cloud-based data warehouse, there is no built-in functionality to generate alerts. In this article, we will explore how I recently built a cloud function to address this
Automated Data Pipeline that ingests daily GA4-formatted CSV files from a private Google Cloud Storage bucket, validates and loads them into BigQuery, and prepares analysis-ready views. The solution is built for deployment as a Cloud Function triggered by Cloud Scheduler and uses Python with the Google Cloud Storage and BigQuery client libraries.
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