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Showing 10 open source projects for "fast"
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1
DAW JSON Link v3
Fast, convenient JSON serialization and parsing in C++
Fast, convenient JSON serialization and parsing in C++. The DAW JSON Link library is a high-performance, no allocation, C++ JSON Library. Direct parsing of JSON to your own data structures via simple declarative mappings. Earlier error reporting of unexpected data and errors. Low memory requirement, parser requires a small amount of stack but does not allocate itself. -
2
Rapid YAML
Library to parse and emit YAML, and do it fast
...Internally, the data tree representation stores only string views and has no knowledge of types, but of course, every node can have a YAML type tag. ryml makes it easy and fast to read and modify the data tree. -
3
D++
C++ Discord API Bot Library - D++ is Lightweight and scalable
D++ is a lightweight and simple library for Discord written in modern C++. It is designed to cover as much of the API specification as possible and to have an incredibly small memory footprint, even when caching large amounts of data. It is created by the developer of TriviaBot and contributed to by a dedicated team of developers. -
4
Glaze
Extremely fast, in memory, JSON and interface library for modern C++
One of the fastest JSON libraries in the world. Glaze reads and writes from C++ memory, simplifying interfaces and offering incredible performance. Glaze also supports binary messages via BEVE and CSV support. And, the library has many more useful features for building APIs. -
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5
Coost
A tiny boost library in C++11
coost is an elegant and efficient cross-platform C++ base library. Its goal is to create a sword of C++ to make C++ programming easy and enjoyable. Coost, co for short, is like boost, but more lightweight, the static library built on Linux or Mac is only about 1MB in size. log supports two types of logs: one is level log, which is divided into 5 levels: debug, info, warning, error, and fatal, printing a fatal log will terminate the program; the other is topic log, logs are grouped by topic... -
6
Cutelyst
Web Framework built on top of Qt, using the approach of Catalyst
Create fast and modern web applications that share the same code as your desktop or mobile apps. Why have two or more development teams focused on a specific platform when you can have a single team coding the same code, sharing skills and lines of code. With Qt, you already can write applications for Windows, Linux, Android, MacOS, and iOS using the same source code, Cutelyst allows you to share your C++ code with your web application. -
7
gSOAP Toolkit
Development toolkit for Web Services and XML data bindings for C & C++
...Includes WSDL/XSD schema binding and auto-coding tools, stub/skeleton compiler, Web server integration with Apache module and IIS extension, high-performance XML processing with schema validation, fast MIME/MTOM streaming, SOAP and REST Web API development, WS-* protocols (WS-Security, WS-Policy, WS-ReliableMessaging, etc), XML-RPC and JSON. Licensed under GPLv2. Visit the developer center with guides, tutorials, and examples at www.genivia.com/dev.html The documentation of the toolkit, libraries, plugins and more is available at www.genivia.com/docs.html Commercial-use licenses and expert technical support services are available at competitive pricing levels, please visit www.genivia.com/products.html -
8
JSON Parser
JSON Parser written in C that outputs JSON into D-List list objects
JSON parser is a highly efficient JSON data decoder written in C, that parses JSON data into a form that is very easy to use from within C code. You only need to include the json-parser.h file in your source code. If your project does not already incorporate D-List, you will also need to include dlist.h The JSON parser package also includes a JSON validator that does not parse or create resources, but allows the caller to validate JSON data from unknown sources, prior to any parsing... -
9
jtc
JSON processing utility
jtc stand for: JSON transformational chains (used to be JSON test console). jtc offers a powerful way to select one or multiple elements from a source JSON and apply various actions on the selected elements at once (wrap selected elements into a new JSON, filter in/out, sort elements, update elements, insert new elements, remove, copy, move, compare, transform, swap around and many other operations). -
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10
Occursions
Fast customizable time series web database for big data like log files
Our goal is to create the world's fastest extendable, non-transactional time series database for big data (you know, for kids)! Log file indexing is our initial focus. For example append only ASCII files produced by libraries like Log4J, or containing FIX messages or JSON objects. Occursions was built by a small team sick of creating hacks to remotely copy and/or grep through tons of large log files. We use it to index around a terabyte of new log data per day. You can use it too. Who...
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