pre-commit/pre-commit: A framework for managing and maintaining multi-language pre-commit hooks.
all
ChrisBuilds/terminaltexteffects: TerminalTextEffects (TTE) is a terminal visual effects engine, application, and Python library.
theicfire/makefiletutorial: Learn make by example
astralapp/astral: Organize Your GitHub Stars With Ease
aio-libs/yarl: Yet another URL library
structurizr/examples: Structurizr examples
jazzband/django-silk: Silky smooth profiling for Django
aws-samples/lambda-web-scraper-example: An example of a web scraper running on AWS Lambda and Lambda Layers
dabeaz-course/python-mastery: Advanced Python Mastery (course by @dabeaz)
jamestthompson3/nvim-remote-containers: Develop inside docker containers, just like VSCode
gmh5225/Python-compiler-codon: A high-performance, zero-overhead, extensible Python compiler using LLVM
exaloop/codon: A high-performance, zero-overhead, extensible Python compiler using LLVM
stotko/stdgpu: stdgpu: Efficient STL-like Data Structures on the GPU
microsoftgraph/msgraph-training-python: Completed project for Build Python apps with Microsoft Graph
microsoftgraph/msgraph-sdk-python-core: Microsoft Graph client library for Python
microsoft/kiota: OpenAPI based HTTP Client code generator
microsoft/kiota-python: Abstractions library for Kiota generated Python clients
encode/httpx: A next generation HTTP client for Python. 🦋
alexcasalboni/aws-lambda-power-tuning: AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.
bazelbuild/bazel: a fast, scalable, multi-language and extensible build system
veltman/clmystery: A command-line murder mystery
aws/aws-sam-cli: CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
locustio/locust: Write scalable load tests in plain Python 🚗💨
OpenBMB/ToolBench: [ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
kdeldycke/awesome-falsehood: 😱 Falsehoods Programmers Believe in
aio-libs/aiohttp: Asynchronous HTTP client/server framework for asyncio and Python
openssl/openssl: TLS/SSL and crypto library
microsoft/pyright: Static Type Checker for Python
Koihik/LuaFormatter: Code formatter for Lua
learnbyexample/learn_gnuawk: Example based guide to mastering GNU awk