Stars
SadServers: Linux & DevOps Troubleshooting Scenarios SaaS
Cubism.js: A JavaScript library for time series visualization.
A Dockerized python Script to fetch Garmin health data and populate that in a InfluxDB Database, for visualization long term health trends with Grafana
A collection of Linux Sysadmin Test Questions and Answers. Test your knowledge and skills in different fields with these Q/A.
Site Reliability Engineer Interview Preparation Guide
BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more
Open-source Windows and Office activator featuring HWID, Ohook, TSforge, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
The Phoronix Test Suite open-source, cross-platform automated testing/benchmarking software.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Find, install and publish Cloud Native packages
External Secrets Operator reads information from a third-party service like AWS Secrets Manager and automatically injects the values as Kubernetes Secrets.
Automatically provision and manage TLS certificates in Kubernetes
Feathr – A scalable, unified data and AI engineering platform for enterprise
All your services in one place, built by the community
An extremely fast Python linter and code formatter, written in Rust.
Deploy workloads from Git to large fleets of Kubernetes clusters
Python client to read IMF World Economic Outlook (WEO) dataset as pandas dataframe.
Python 3 examples of using economic data APIs and working with economic microdata. Includes bd CPS.
A Python application which is used to pull data from the United States Federal Treasury API.
A Python library for the Bureau of Labor Statistics API
A Python library library to make it easier to retrieve and work with BEA data.
Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)
A collection of machine learning examples and tutorials.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.