pyre-check
litmus
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pyre-check | litmus | |
---|---|---|
24 | 63 | |
6,692 | 4,187 | |
0.8% | 2.3% | |
9.9 | 9.4 | |
4 days ago | 3 days ago | |
OCaml | Go | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pyre-check
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Pylyzer – A fast static code analyzer and language server for Python
Did you come across pyre in your search? MIT license and pretty fast.
https://github.com/facebook/pyre-check
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Enhance Your Project Quality with These Top Python Libraries
Pyre is a performant type-checker developed by Facebook. Pyre can analyse codebases with millions of lines of code incrementally – providing instantaneous feedback to developers as they write code.
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
Pyre from Meta, pyright from Microsoft and PyType from Google provide additional assistance. They can 'infer' types based on code flow and existing types within the code.
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Ruff v0.1.0
Have you seen Pyre[0]? Not Rust, OCaml, and pretty fast. Made by a team at Meta and open sourced on GitHub. If you use python-lsp, I wrote an extension[1] to enable integration (though I haven't tested it recently, been programming in rust; it is mostly a "for me" extension).
0: https://pyre-check.org/
1: https://github.com/cricalix/python-lsp-pyre
- Should I Rust or should I Go
- Writing Python like it's Rust
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Buck2, a large scale build tool written in Rust by Meta, is now available
Internally we use Pyre for Python type checking: https://github.com/facebook/pyre-check
- Are there any sectors that use Haskell as a main programming language?
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It is becoming difficult for me to be productive in Python
Before type hinting, work had intense rules and linters enforcing docstrings with types. Now, type hints and automatic pyre runs take care of all the heavy lifting.
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Ruby 3.2’s YJIT is Production-Ready
Python now has an optional type system and if you add one of them such as mypy or pyre to your CI process and you can configure GitHub to refuse the pull request until types are added you can make it somewhat strongly typed.
If you have a preexisting codebase I believe the way you can convert it is to add the types that you know on commits and eventually you will have enough types that adding the missing ones should be easy. For the missing ones Any is a good choice.
https://pyre-check.org and https://github.com/python/mypy are popular.
litmus
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Building Resilience with Chaos Engineering and Litmus
Litmus, Gremlin, Chaos Mesh, and Chaos Monkey are all popular open-source tools used for chaos engineering. As we will be using AWS cloud infrastructure, we will also explore AWS Fault Injection Simulator (FIS). While they share the same goals of testing and improving the resilience of a system, there are some differences between them. Here are some comparisons:
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Strategies for Writing More Effective Tests in Golang
This LFX quarter I got to get my hands on LitmusChaos, a CNCF incubating opensource project that dives deep on making cloud-native chaos-engineering accessible to multiple developer personas.
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Introduction to Chaos Engineering
In 2010 Netflix developed a tool called "Chaos Monkey", whose goal was to randomly take down compute services (such as virtual machines or containers), part of the Netflix production environment, and test the impact on the overall Netflix service experience. In 2011 Netflix released a toolset called "The Simian Army", which added more capabilities to the Chaos Monkey, from reliability, security, and resiliency (i.e., Chaos Kong which simulates an entire AWS region going down). In 2012, Chaos Monkey became an open-source project (under Apache 2.0 license). In 2016, a company called Gremlin released the first "Failure-as-a-Service" platform. In 2017, the LitmusChaos project was announced, which provides chaos jobs in Kubernetes. In 2019, Alibaba Cloud announced ChaosBlade, an open-source Chaos Engineering tool. In 2020, Chaos Mesh 1.0 was announced as generally available, an open-source cloud-native chaos engineering platform. In 2021, AWS announced the general availability of AWS Fault Injection Simulator, a fully managed service to run controlled experiments.
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Building a More Robust Apache APISIX Ingress Controller With Litmus Chaos
Litmus Chaos is an open-source Chaos Engineering framework that provides an infrastructure experimental framework to validate the stability of controllers and microservices architectures. It can simulate various environments, such as container-level and application-level environments, natural disasters, faults, and upgrades, to understand how the system responds to these changes. The framework can also explore the behavior changes between controllers and applications, and how controllers respond to challenges in specific states. Litmus Chaos offers convenient observability integration capabilities and is highly extensible.
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Getting the Github Octernship
I am Pratik Singh, a final-year engineering student from Bangalore. I have been alumni of the pilot program of the Github Octernship. Back in 2021, it was called Github Externship. I worked for an organisation LitmusChaos
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rootly Vs firehydrant, any experience?
https://litmuschaos.io/ (open source)
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How to Deploy and Scale Strapi on a Kubernetes Cluster 2/2
LitmusChaos, is a platform that helps you to run Chaos Engineering in your cluster to identify weaknesses and improvement opportunities.
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From KubeCon to my first keynote as a DevRel
When the workshop was over, I headed back to the conference pavilion to attend the LitmusChaos Project Office Hours. These discussion events are great because they allow you to learn more about the project ask questions, meet the maintainers, and learn about new features and upcoming updates.
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Reliability/chaos engineering tools
I don't have experience with the solutions you mentioned but I'll add one more to your list. It's Litmus which is open source... https://github.com/litmuschaos/litmus
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Implement DevSecOps to Secure your CI/CD pipeline
Implement Chaos Mesh and Litmus chaos engineering framework to understand the behavior and stability of application in real-world use cases.
What are some alternatives?
pyright - Static Type Checker for Python
chaos-mesh - A Chaos Engineering Platform for Kubernetes.
mypy - Optional static typing for Python
chaosmonkey - Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
pytype - A static type analyzer for Python code
aws-fis-templates-cdk - Collection of AWS Fault Injection Simulator (FIS) experiment templates deploy-able via the AWS CDK
typeshed - Collection of library stubs for Python, with static types
podtato-head - Demo App for TAG App Delivery
flake8
backstage - Backstage is an open platform for building developer portals [Moved to: https://github.com/backstage/backstage]
typing - Python static typing home. Hosts the documentation and a user help forum.
mentoring - 👩🏿🎓👨🏽🎓👩🏻🎓CNCF Mentoring: LFX Mentorship + Summer of Code