Azure Key Vault to Kubernetes (akv2k8s for short) makes it simple and secure to use Azure Key Vault secrets, keys and certificates in Kubernetes.

A fancy self-hosted monitoring tool

Presentation Slides for Developers

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

Infinitely transfer between every device over pure HTTP with pipes or browsers

The Time Series Visualization Tool that you deserve.

At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.

Unofficial Datadog tracing integration for ASGI apps and frameworks

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Miscellaneous scripts and tools

Contains plugins extending the inspectIT Ocelot Agent, such as plugins enabling additional OpenCensus exporters.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Google Sheets Python API

A command-line tool for orchestrating the deployment of Locust in Kubernetes.

A Python framework to write Kubernetes operators in just few lines of code.

Various examples for Google Earth Engine in Python using Jupyter Notebook

Modin: Scale your Pandas workflows by changing a single line of code

Course Files for Complete Python 3 Bootcamp Course on Udemy

extract internal monitoring data from application logs for collection in a timeseries database

GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm

Debugging, monitoring and visualization for Python Machine Learning and Data Science

SQL powered operating system instrumentation, monitoring, and analytics.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

A system for quickly generating training data with weak supervision

Automatic extraction of relevant features from time series:

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Streamlit — A faster way to build and share data apps.

MLOps using Azure ML Services and Azure DevOps

Python bytecode instrumentation library