Inja
boost
Inja | boost | |
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8 | 17 | |
1,539 | 1 | |
- | - | |
3.6 | 10.0 | |
about 1 month ago | over 13 years ago | |
C++ | C++ | |
MIT License | Boost Software License 1.0 |
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Inja
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Which library canI use for rendering html??
I like to use a template engine for rendering html. This way I could use my favourite html editor and add the information from c++ to it. There are some alternatives but I would recommend either mustache or inja. While I used mustache successfully in many projects inja has a more modern feel to it
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How to write reflection for C++
Also, we need to somehow generate code based on the collected information. Template engines like go template, mustache, jinja, etc. are great for this. We'll write only a couple of templates, on which we'll generate hundreds of new source code files. I decided to use inja in this project. It's a sort of C++ port on jinja for Python.
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Could Jinja scripting can be usefull in database manager?
After some researching, I found inja-library that partially support Jinja-templates and then I've implemented to my app sqlite-gui. But I still doubt whether such a scripting is needed.
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Hacker News top posts: Feb 4, 2022
Inja: A Template Engine for Modern C++\ (19 comments)
- Inja: A Template Engine for Modern C++
- GitHub - pantor/inja: A Template Engine for Modern C++
- C++ template engine library, similar to jinja for Python
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Looking for a codegen library that uses C++ for scripting
I've looked into a newer template engine like Inja, but my client isn't quite happy with that either. Inja allows you to write templates that you feed JSON data into:
boost
- Inside boost::unordered_flat_map
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coost v3.0.0 released - A tiny boost library in C++11
coost is a cross-platform C++ basic library with both performance and ease of use. It is like boost, but much smaller, the static library built on linux and mac is only about 1MB in size. Although small, it provides enough powerful features:
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Ask HN: Is ease in getting started the key for Python's success?
Not so much ease, as flexibility.
In the end, the thing that matters the most for software is being able to get logic into code as efficiently as possible. This includes being able to write concise code, being able to execute it and see results, debug it efficiently, use libraries easily, and deploy it to production. Python has all of this.
The rest of the stuff, like strong typing, memory safety, e.t.c are at best academic. The supposed advantages of those just don't hold up once you start to look into the real world. Linux, which runs on most devices that support an os hardware wise, is written purely in C. Python is used as a backend for very big projects like Youtube, Instagram, Spotify, e.t.c. Its also used to run Openpilot (https://github.com/commaai/openpilot), which has performance on par with Teslas autopilot.
Meanwhile in Java world, with strict typing, you have egregious vulnerabilities like log4shell, amongst others (https://java-0day.com/).
Language evolution is also a thing to look at with this stuff. The more "strict" you try to make a language, the worse its going to become as people are necessarily going to find hacks around it. With java, type safety strict features like having getters and setters get abstracted away behind an annotation processor that hacks the AST (Lombok), and thats not only considered ok, but is encouraged to be used. With C++, template metaprogramming got extremely out of hand with https://www.boost.org/, where the error messages for one thing used to be pages long. Rust manage to sneak this under the radar with the unsafe clause, which is going to see standard use in many codebases, thus negating any of its advantages.
In the end, good code comes from good developers, full stop. Every codebase will necessarily have tests for production deployment, and anything that language features don't catch during compilation or static checking can be checked with testing if you have developers that understand what they are doing and can write appropriate testing frameworks.
And based on that, its pretty attractive to use Python especially when you consider developer time. And the flexibility means you can write your code in different forms to suit your use case, where it be OOP with MyPy type checking, functional, imperative, or super complex if you want.
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Compile-Time Hash in Plain C (Not Only C++) is Now Possible!
For those who didn't know what is Boost, it's a C++ library that helps to prevent re-inventing the wheel while trying to program something quite complex as example looping only with macro, Boost Preprocessor. Fortunately, Boost Preprocessor Repeat also works with plain C, not only C++. So, my OrangePi board can calculate hash at compile-time. Unfortunately, my SIX Hash algorithm requires sizeof(input) and Boost... won't... work... with it. Hours of workarounds, no luck.
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How do I connect a REST API with C++?
If you have the ability to use third-party libraries (though if you can't this project is going to be a nightmare, lol...) I would recommend using the Beast library from the Boost collection of libraries. It's a little bit more verbose than some options, but not that much more, and it's better maintained. REST webservices are built on top of the HTTP framework, so it's just a matter of sending a HTTP GET request to a server (or POST/UPDATE/DELETE, depending on how exactly the api on the other end is implemented) and reading the response you get back. This is a very basic sample of a client sending a GET request to a server. If you need to change this to do a POST (or some other kind of request), there's only two real changes that need to be made:
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Can anyone explain the differences of Conda vs Pip?
The person you replied to used slightly confusing terminology. Conda deals with non-python packages. As in if you wanted to install boost for C++.
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Looking to download/use Boost
I'm not sure if its just me but I'm finding I can't access any of the download links on the Boost Website.
- Resources for experienced C programmer for C++20/17/13
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How to write reflection for C++
rich standard library and Boost;
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Where to read about modern C++ features which you should use?
Boost is also another ubiquitous library. Lots of code that doesn't make it into the standard kind of ends up here. Lots of code that gets into the standard starts here. Boost.Asio might end up being our network API in 23.
What are some alternatives?
stx-btree - OBSOLETE, contained in https://github.com/tlx/tlx - STX B+ Tree C++ Template Classes -
jackson-databind - General data-binding package for Jackson (2.x): works on streaming API (core) implementation(s)
sparsepp - A fast, memory efficient hash map for C++
coost - A tiny boost library in C++11.
function2 - Improved and configurable drop-in replacement to std::function that supports move only types, multiple overloads and more
cppinsights - C++ Insights - See your source code with the eyes of a compiler
lexertl - lexertl: The Modular Lexical Analyser Generator
GSL - Guidelines Support Library
Hashmaps - Various open addressing hashmap algorithms in C++
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
Justinbobia - The Configurable Math Library
restclient-cpp - C++ client for making HTTP/REST requests