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Top 23 Python Azure Projects
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devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
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Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
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prowler
Prowler is an Open Source Security tool for AWS, Azure, GCP and Kubernetes to do security assessments, audits, incident response, compliance, continuous monitoring, hardening and forensics readiness. Includes CIS, NIST 800, NIST CSF, CISA, FedRAMP, PCI-DSS, GDPR, HIPAA, FFIEC, SOC2, GXP, Well-Architected Security, ENS and more
11. Prowler
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Project mention: Recapping the AI, Machine Learning and Computer Meetup — August 15, 2024 | dev.to | 2024-08-15
As a data scientist/ML practitioner, how would you feel if you can independently iterate on your data science projects without ever worrying about operational overheads like deployment or containerization? Let’s find out by walking you through a sample project that helps you do so! We’ll combine Python, AWS, Metaflow and BentoML into a template/scaffolding project with sample code to train, serve, and deploy ML models…while making it easy to swap in other ML models.
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checkov
Prevent cloud misconfigurations and find vulnerabilities during build-time in infrastructure as code, container images and open source packages with Checkov by Bridgecrew.
Project mention: Automating Snowflake Resource Deployment using Terraform and GitHub Actions | dev.to | 2024-05-18The workflow also includes a step for infrastructure code scan to scan Terraform code. This uses Checkov action against infrastructure-as-code, open source packages, container images, and CI/CD configurations to identify misconfigurations, vulnerabilities, and license compliance issues.
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Project mention: ScoutSuite: Open-Source Multi-Cloud Security Auditing Tool | news.ycombinator.com | 2024-08-14
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InfluxDB
Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
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azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
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cloud-custodian
Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources
Project mention: Cutting down AWS cost by $150k per year simply by shutting things off | news.ycombinator.com | 2024-01-22> The best optimization is simply shutting things off
This is the way.
A similar idea has been bouncing around in my mind for a while now. An ideal, turnkey system would do the following:
- Execute via Lambda (serverless).
- Support automated startup and shutdown of various AWS resources on a schedule influenced by specially formatted tags.
- Enable resources to be brought back up out of schedule when demand dictates.
- Operate as a TCP/HTTP proxy that can delay clients so that a given service can be started when it is dormant or, even better, the service isn't serverless but you want it to be. This can't work for everything, but perhaps enough things such that the need to run always on services is reduced.
Cloud Custodian [1] can purportedly do some of this, but I've been reluctant to learn yet another YAML-based DSL to use it.
So this is my "make things designed to be always-on serverless instead" project and the work AWS has done to make Java apps function on Lambda keeps me thinking about the potential to take things that 1) have a relatively long startup time and 2) are designed to be long running service loops, and find a way to force them into the serverless execution model.
[1] https://cloudcustodian.io/
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azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
Project mention: Upgrading Python version for your Microsoft Fabric environment | dev.to | 2024-09-12 -
Azure Kubernetes Service (AKS) is a managed Kubernetes service provided by Microsoft Azure. It offers integrated CI/CD capabilities and security features. Before getting started with AKS, first install the az CLI. Once you have installed az CLI, follow the remaining steps below to set up your AKS cluster:
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dstack
A lightweight alternative to Kubernetes for AI, simplifying container orchestration on any cloud or on-premises and accelerating AI development, training, and deployment.
Project mention: dstack (K8s alternative) adds support for AMD accelerators on RunPod | news.ycombinator.com | 2024-08-21That’s on our list! We’re actually planning to expand our examples page with a lot more frameworks! Contributors are very welcome to our repo: https://github.com/dstackai/dstack/tree/master/examples/
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optscale
FinOps, MLOps and cloud cost optimization tool. Supports AWS, Azure, GCP, Alibaba Cloud and Kubernetes.
Project mention: Profile and instrument ML experiments and optimize their performance expenses | news.ycombinator.com | 2023-09-27 -
Hunting-Queries-Detection-Rules
KQL Queries. Defender For Endpoint and Azure Sentinel Hunting and Detection Queries in KQL. Out of the box KQL queries for: Advanced Hunting, Custom Detection, Analytics Rules & Hunting Rules.
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runhouse
Dispatch and distribute your ML training to "serverless" clusters in Python, like PyTorch for ML infra. Iterable, debuggable, multi-cloud/on-prem, identical across research and production.
Project mention: Show HN: RAG app example with self-hosted embedding and LLM services | news.ycombinator.com | 2024-08-13 -
opta
The next generation of Infrastructure-as-Code. Work with high-level constructs instead of getting lost in low-level cloud configuration.
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microsoft-authentication-library-for-python
Microsoft Authentication Library (MSAL) for Python makes it easy to authenticate to Microsoft Entra ID. General docs are available here https://learn.microsoft.com/entra/msal/python/ Stable APIs are documented here https://msal-python.readthedocs.io. Questions can be asked on www.stackoverflow.com with tag "msal" + "python".
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learn-generative-ai
Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js
Project mention: Top Courses and GitHub Repositories to Learn GenerativeAI Free | dev.to | 2024-08-17✅Learn-generative-ai
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Python Azure discussion
Python Azure related posts
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Upgrading Python version for your Microsoft Fabric environment
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dstack (K8s alternative) adds support for AMD accelerators on RunPod
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Chapter 3 - Setting up Kubernetes
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ScoutSuite: Open-Source Multi-Cloud Security Auditing Tool
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Show HN: RAG app example with self-hosted embedding and LLM services
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Pentesting AWS VPCs: Identifying and Mitigating Risks
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Azure CLI converts local accounts to MSFT online accounts on Win11
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A note from our sponsor - Scout Monitoring
www.scoutapm.com | 18 Sep 2024
Index
What are some of the best open-source Azure projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | devops-exercises | 65,830 |
2 | recommenders | 18,815 |
3 | prowler | 10,530 |
4 | docker-android | 9,423 |
5 | metaflow | 8,026 |
6 | checkov | 6,980 |
7 | ScoutSuite | 6,593 |
8 | azure-search-openai-demo | 5,879 |
9 | cloud-custodian | 5,364 |
10 | azure-sdk-for-python | 4,534 |
11 | azure-cli | 3,968 |
12 | Azure-in-bullet-points | 1,326 |
13 | dstack | 1,320 |
14 | optscale | 1,179 |
15 | Hunting-Queries-Detection-Rules | 1,161 |
16 | skyplane | 1,000 |
17 | kubestriker | 985 |
18 | runhouse | 961 |
19 | opta | 906 |
20 | microsoft-authentication-library-for-python | 788 |
21 | learn-generative-ai | 629 |
22 | azure-devops-cli-extension | 623 |
23 | azure-devops-python-api | 573 |