​​Flow-based visual scripting for #python.

Ryven is a flow-based visual scripting environment for Python for creating diagram-like representations of your Python scripts. It provides you with a simple system to create new nodes executing any Python code. It might come in handy as a tool for exploration, too, once users created a lot more nodes. Convenient use cases include IoT, data processing and data manipulation, generally visualizing algorithms, Raspberry Pi, and basically any web API.

Features:
- Simple concept, intuitive UI
- Create clear and good looking flows
- Any Python code can be put into a node, no limits!
- Easy process of creating new nodes
- There are data and execution connections but pure dataflows are possible
- Stylus support
- Live source code manipulation
- It is free

https://ryven.org/

​​Prevent cloud misconfigurations during build-time for Terraform, Cloudformation, Kubernetes, Serverless framework and other infrastructure-as-code-languages with Checkov (Чехов).

Checkov is a static code analysis tool for infrastructure-as-code.

It scans cloud infrastructure provisioned using Terraform, Cloudformation, Kubernetes, Serverless or ARM Templates and detects security and compliance misconfigurations.

Features:
- Over 400 built-in policies cover security and compliance best practices for AWS, Azure and Google Cloud.
- Scans Terraform, CloudFormation and Kubernetes, Serverless framework and ARM template files.
- Detects AWS credentials in EC2 Userdata, Lambda environment variables and Terraform providers.
- Evaluates Terraform Provider settings to regulate the creation, management, and updates of IaaS, PaaS or SaaS managed through Terraform.
- Policies support evaluation of variables to their optional default value.
- Supports in-line suppression of accepted risks or false-positives to reduce recurring scan failures. Also supports global skip from using CLI.
- Output currently available as CLI, JSON, JUnit XML and github markdown and link to remediation guides.

https://github.com/bridgecrewio/checkov

#python #devops #k8s

​​Keep an eye on your #docker image size and prevent it from growing too big!

Limit your docker image size with a simple CLI command. Perfect to be used inside your CI process.

Also available as a Github Action.

https://github.com/wemake-services/docker-image-size-limit

#python

​​Clearly is a real time monitor for your celery tasks and workers. Clearly see and debug your celery cluster in real time!

> While I do like flower, to me it's not been totally up to the task (pun intended :).
Why is that? flower needs page refreshes, filters only one task type at a time, displays results as plain strings without any formatting or syntax highlighting, and on top of that also truncates them!

> And clearly is actually real time, has multiple simultaneous filters, a beautiful syntax highlighting system, an advanced formating system that shows parameters, results and tracebacks just as an ipython would, has complete un-truncated results and is very easy to use! Also you can install it very easily with a docker image!

> It's great to actually see in a totally real time way what's going on in your celery workers! So it's very nice for inspecting, debugging, and even demonstrating your company async-superpowers (put clearly on a big screen TV showing all tasks of your production environment)!

> Clearly is composed of a server, which collects real time events from the celery cluster, generates missing states, and streams filtered data to connected clients; and a client, which you use to send filter commands and display both real time and stored data. They communicate with each other via gRPC and ProtocolBuffers.

https://github.com/rsalmei/clearly

#python

​​Beartype is an open-source pure #python PEP-compliant O(1) constant-time runtime type checker emphasizing efficiency, portability, and thrilling puns.

Beartype brings Rust inspired zero-cost abstractions into the lawless world of dynamically-typed pure Python.

Beartype is portably implemented in Python 3, continuously stress-tested via GitHub Actions + tox + pytest, and permissively distributed under the MIT license. Beartype has no runtime dependencies, only one test-time dependency, and supports all Python 3.x releases still in active development.

https://github.com/beartype/beartype

wemake-python-styleguide@0.15 is just released!

It is the strictest and most opinionated #python linter ever.
Now with even more rules!

https://github.com/wemake-services/wemake-python-styleguide/releases/tag/0.15.0

Features that I really like in this new release:
- python3.9 official support
- Python gets adding new stuff - we continue to forbid using it, now with relaxed decorator syntax. Only old style is allowed, yeay!
- Unpythonic getters and setters detection: no more get_x and set_x methods!
- Consistent comprehension structure: now all your comprehensions will look the same!
- Configuration option to forbid ignoring some violations inline with noqa, might be really useful for complexity rules!

Check it out!

Even more goodness will land in the future vesions. We have a lot of ideas! Do you want to help with the project development? Drop me a line!