Based on our record, Apache Airflow seems to be a lot more popular than flake8. While we know about 66 links to Apache Airflow, we've tracked only 5 mentions of flake8. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.3.0 hooks: - id: trailing-whitespace - id: check-merge-conflict - id: check-yaml args: [--unsafe] - id: check-json - id: detect-private-key - id: end-of-file-fixer - repo: https://github.com/timothycrosley/isort rev: 5.10.1 hooks: - id: isort - repo:... - Source: dev.to / over 1 year ago
I just ran `pre-commit autoupdate`. It's asking for a username for https://gitlab.com/pycqa/flake8. :-(. Source: over 1 year ago
Flake8 plugin for a smart line length validation. Source: over 1 year ago
$ pre-commit install Pre-commit installed at .git/hooks/pre-commit $ git add .pre-commit-config.yaml $ git commit -m "Add pre-commit config" [INFO] Initializing environment for https://github.com/pre-commit/pre-commit-hooks. [INFO] Initializing environment for https://gitlab.com/pycqa/flake8. [INFO] Initializing environment for https://github.com/pycqa/isort. [INFO] Initializing environment for... - Source: dev.to / almost 3 years ago
If you're looking for just good automated error checking, I personally use a bunch of flake8 plugins via pre-commit hooks: flake8-bugbear, flake8-builtins, flake8-bandit, etc. You can find a bunch of sites that give recommended plugins and you just need to pick which ones you care about :). Source: about 3 years ago
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / 25 days ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 4 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 7 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 7 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 8 months ago
PyLint - Pylint is a Python source code analyzer which looks for programming errors.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
PyFlakes - A simple program which checks Python source files for errors.
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
PEP8 - pep8 is a tool to check your Python code against some of the style conventions in PEP 8.
Make.com - Tool for workflow automation (Former Integromat)