CPM.cmake
fastapi
CPM.cmake | fastapi | |
---|---|---|
40 | 468 | |
2,581 | 71,023 | |
2.2% | - | |
6.7 | 9.8 | |
9 days ago | 7 days ago | |
CMake | Python | |
MIT License | MIT License |
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.
CPM.cmake
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Using raylib with Dear ImGui: Game Dev Debugging UI
I like to pin GitHub dependencies using a commit hash, instead of a tag. You need a recent CPM.cmake file in your project for CPM to work.
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C++ Game Utility Libraries: for Game Dev Rustaceans
C++20 brings std::format, improving C++ developer experience for formatting strings. If you have to use older standards, though, add fmtlib to your repo. It plays well with CMake and you can use CPM to add fmtlib to your project. The library supports many Rust format macro features, and makes code far cleaner when you need to do string interpolation with variables.
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My (Herb Sutter's) C++ Now 2023 talk is online: “A TypeScript for C++”
This is true for almost all projects but things are getting better. I use CPM for a couple of years now and get the experience desired
https://github.com/cpm-cmake/CPM.cmake
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CMake and Linking External libraries is a kick in the nuts if i've ever seen it.
Yes, i found vcpkg terrible and FetchContent usually works way better. An amazing project is https://github.com/cpm-cmake/CPM.cmake, which automates FetchContent and makes dependencies mostly hassle free.
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Graphics in c++ but in wsl
There's two completely different aspects to your question. 1) How to manage libraries in c++ without dying from cringe? I'd suggest you use cmake as the build system and grab library sources directly from GitHub using this tool: https://github.com/cpm-cmake/CPM.cmake 2) How to get apps that run under WSL to display windows-native windows? I'm not sure, but it's probably this: https://github.com/microsoft/wslg
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Where to store libraries in cross-platform C++ app?
I personally like to use something called CPMCmake for smaller personal projects, just because it has 0 requirements on the person that wants to use your project, they don't have to setup anything on their end, the only requirement is to have Cmake.
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How do I include a library in cmake such that it is included in the project?
I personally would thoroughly recommend CPM. It's a CMake plugin which you install as a script in your CMake project and you can then use its function CPMFindPackage(), which basically wraps find_package() and ExternalProject() to use the former if the package is installed on the machine, or downloads it and builds it in-tree using the latter if not.
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Create Python bindings for my C++ code with PyBind11
At first, I wanted to install it using Vcpkg but I ended up using CPM.cmake instead. Why? Because with Vcpkg on some platform it is messing up the config and choose a version of Python used in Vcpkg instead of the one I wanted to use. It is not that hard to fix, but why bother when I can install the library in one line with CPM.cmake
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CPM.cmake to make CMake's FetchContent easier
set(CPM_DOWNLOAD_LOCATION ${CMAKE_BINARY_DIR}/CPM.cmake) file(DOWNLOAD https://github.com/cpm-cmake/CPM.cmake/releases/latest/download/cpm.cmake ${CPM_DOWNLOAD_LOCATION}) include(${CPM_DOWNLOAD_LOCATION})
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package manager in 2022
We're using vcpkg - tried conan previously. I think both are good, but both of them have their own flaws. You can also go with something like https://github.com/cpm-cmake/CPM.cmake if you just want something quick for a small project.
fastapi
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Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.
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FastAPI Best Practices: A Condensed Guide with Examples
FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.
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Building an Email Assistant Application with Burr
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. We’ll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but won’t dive into details for it.
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FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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Litestar – powerful, flexible, and highly performant Python ASGI framework
It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if you’re using sync routes.
If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
- Ask HN: What is your go-to stack for the web?
What are some alternatives?
cmake-conan - CMake wrapper for conan C and C++ package manager
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Vcpkg - C++ Library Manager for Windows, Linux, and MacOS
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
boost-cmake - Easy Boost integration in CMake projects
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
hunter - CMake driven cross-platform package manager for C/C++.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
cmake-init-vcpkg-example - cmake-init generated executable project with vcpkg integration
Flask - The Python micro framework for building web applications.
FunctionalPlus - Functional Programming Library for C++. Write concise and readable C++ code.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.