Rémy Tinco's starred repositories
django-cachalot
No effort, no worry, maximum performance.
django-model-utils
Django model mixins and utilities.
thunderdome-planning-poker
⚡ Thunderdome is an open source agile planning poker, sprint retro, and story mapping tool
localstack
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
python_koans
Python Koans - Learn Python through TDD
fixinventory
Fix Inventory consolidates user, resource, and configuration data from your cloud environments into a unified, graph-based asset inventory.
Django-Styleguide
Django styleguide used in HackSoft projects
code-gpt-docs
Docusaurus page
strong_migrations
Catch unsafe migrations in development
safe-pg-migrations
Make your PostgreSQL migrations safe
ddd-starter-modelling-process
If you're new to DDD and not sure where to start, this process will guide you step-by-step
awesome-design-patterns
A curated list of software and architecture related design patterns.
awesome-credit-modeling
A collection of awesome papers, articles and various resources on credit and credit risk modeling
my-ddd-journey
A list of Domain-Driven Design and architecture resources
static-analysis
⚙️ A curated list of static analysis (SAST) tools and linters for all programming languages, config files, build tools, and more. The focus is on tools which improve code quality.
pyan
pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/ This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.
auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events