Search Results for "without code"
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Showing 96 open source projects for "without code"
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1
FlatBuffers
Memory Efficient Serialization Library
FlatBuffers is an open source, cross-platform serialization library designed for maximum memory efficiency. Originally created at Google for game development and other performance-critical apps, FlatBuffers has the unique ability of allowing you to directly access serialized data without having to parse or unpack beforehand. Since the only memory needed to access your data is that of the buffer, it is also very memory efficient and fast. FlatBuffers supports Windows, MacOS, Linux and... -
2
CP Editor
The IDE for competitive programming
...No more copy-pasting! With a single click, you can run your code on multiple test cases and get verdicts. Thanks to CF tools, It can submit your solution directly to codeforces and show you verdict without leaving the editor. -
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ispc
Intel SPMD Program Compiler
...Under the SPMD model, the programmer writes a program that generally appears to be a regular serial program, though the execution model is actually that a number of program instances execute in parallel on the hardware. ispc compiles a C-based SPMD programming language to run on the SIMD units of CPUs and GPUs; it frequently provides a 3x or more speedup on architectures with 4-wide vector SSE units and 5x-6x on architectures with 8-wide AVX vector units, without any of the difficulty of writing intrinsics code. Parallelization across multiple cores is also supported by ispc, making it possible to write programs that achieve performance improvement that scales by both numbers of cores and vector unit size. Build a small set of extensions to the C language that would deliver excellent performance to performance-oriented programmers. -
4
Google Highway
Performance-portable, length-agnostic SIMD with runtime dispatch
Google Highway is a high-performance C++ library designed to provide portable SIMD (Single Instruction, Multiple Data) vectorization across multiple CPU architectures while maintaining predictable and efficient behavior. It abstracts low-level vector intrinsics into a consistent API that maps closely to hardware instructions, allowing developers to write high-performance code without relying heavily on compiler auto-vectorization. Highway enables the same source code to run across different platforms and instruction sets, including architectures with scalable vector lengths, which are not known at compile time. This portability is achieved through dynamic or static dispatch mechanisms that select the best available instruction set at runtime or compile time. ... -
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5
Codon
A high-performance, zero-overhead, extensible Python compiler
Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 100x or more, on a single thread. Codon supports native multithreading which can lead to speedups many times higher still. The Codon framework is fully modular and extensible, allowing for the seamless integration of new modules, compiler optimizations, domain-specific languages and so on. -
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Beef Programming Language
Beef Programming Language
...The IDE supports productivity features such as autocomplete, fix-its, reformatting, refactoring tools, type inspection, hot compilation, and a built-in profiler. Beef allows for safely mixing different optimization levels on a per-type or per-method level, allowing for performance-critical code to be executed at maximum speed without affecting the debuggability of the rest of the application. Beef can detect memory leaks in real-time. As with most safety features in Beef, this can be turned off in Release builds for performance-critical applications. The Beef IDE supports productivity features such as autocomplete, fixits, reformatting, refactoring tools, type inspection, runtime code compilation (hot code swapping). -
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CUDA Core Compute Libraries (CCCL)
CUDA Core Compute Libraries
...It brings together Thrust, CUB, and libcudacxx, which collectively provide high-level abstractions, low-level performance primitives, and a CUDA-compatible standard library for GPU programming. The goal of CCCL is to simplify CUDA development by offering reusable building blocks that enable developers to write efficient and scalable parallel code without starting from scratch. Thrust provides a high-level interface for parallel algorithms, while CUB delivers highly optimized primitives for device-level operations, and libcudacxx ensures compatibility with modern C++ standards. By unifying these components, CCCL reduces duplication and improves developer productivity while maintaining performance across different GPU architectures. -
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Cpp-Peglib
A single file C++ header-only PEG (Parsing Expression Grammars)
cpp-peglib is a single-file, header-only C++17 library for Parsing Expression Grammars (PEG). It enables developers to define grammars and build parsers directly within C++ code without external dependencies. -
9
Skiko
Kotlin Multiplatform bindings to Skia
...It serves as the low-level rendering backbone for Kotlin UI frameworks like Compose for Desktop and Compose for Web, enabling smooth, GPU-accelerated 2D graphics across Windows, macOS, Linux, and other supported targets without writing native code. Skiko abstracts away platform-specific rendering details while exposing Skia’s powerful features such as high-quality text shaping, image filters, path operations, and hardware accelerated canvases, making it ideal for building rich UI components, animations, games, or custom drawing surfaces. By leveraging Skia’s proven performance and cross-platform consistency, Skiko helps developers write a single graphics pipeline that behaves predictably across environments, simplifying maintenance and reducing platform fragmentation. -
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10
Halide
A language for fast, portable data-parallel computation
...This representation can then be compiled to an object file, or a JIT-compile and run in the same process. Halide also comes with a Python binding, allowing the writing of Halide embedded in Python without C++. -
11
ccapi
A header-only C++ library for interacting with crypto exchanges
A header-only C++ library for streaming market data and executing trades directly from cryptocurrency exchanges (i.e. the connections are between your server and the exchange server without anything in-between). -
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IRremote Arduino Library
Infrared remote library for Arduino, send and receive infrared signals
...Feedback LED also for sending. Ability to generate a non-PWM signal to just simulate an active low receiver signal for direct connection to existent receiving devices without using IR. -
13
SIMD
C++ wrappers for SIMD intrinsics
SIMD is a C++ library that provides portable abstractions over SIMD (Single Instruction, Multiple Data) instructions, enabling developers to write high-performance vectorized code without dealing directly with architecture-specific intrinsics. SIMD instructions allow a single operation to be applied to multiple data elements simultaneously, significantly accelerating numerical and data-parallel computations. However, differences across CPU architectures and compilers make direct usage complex, which xsimd addresses by offering a unified API that maps efficiently to underlying hardware capabilities. ... -
14
XLS
XLS: Accelerated HW Synthesis
XLS is an open-source toolkit for building high-level hardware with a modern compiler stack that spans from a functional DSL to optimized IR and hardware generation. At the front end, DSLX lets you describe algorithms with strong typing and familiar control flow while remaining synthesis-friendly. The compiler lowers DSLX into a rich intermediate representation, applies aggressive optimization and scheduling passes, and can either JIT the design for software simulation or emit Verilog for... -
15
DynaMix
A new take on polymorphism
DynaMix (Dynamic Mixins) is an alternative take on object-oriented programming and dynamic polymorphism. It lets users compose and modify polymorphic objects at run time. The main target language is C++, but C is also supported. The library is a means to create a project's architecture rather than achieve its purpose. It helps with extensibility, readability, scalability, and interoperability. It focuses on maximal performance and minimal memory overhead. The library uses the type... -
16
workerd
The JavaScript / Wasm runtime that powers Cloudflare Workers
...Designed to host serverless applications written to the Workers platform API (including fetch() and Web standard libraries), workerd enables developers to self-host edge-style workloads in local data centers or development environments, or to test Workers code offline before deploying to the cloud. It emphasizes performance, predictable deployment semantics, and secure isolation, and it uses a capability-based configuration model to bind external resources and services into worker applications in a composable way. The architecture promotes homogeneous deployment of “nanoservices,” which are lightweight components that can be distributed and scaled without complex orchestration, and it supports backward compatibility. -
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Magic Enum C++
Static reflection for enums (to string, from string, iteration)
Static reflection for enums (to string, from string, iteration) for modern C++, work with any enum type without any macro or boilerplate code. magic_enum does not pretend to be a silver bullet for reflection for enums, it was originally designed for small enum. If you are using vcpkg on your project for external dependencies, then you can use the magic-enum package. If you are using Conan to manage your dependencies, merely add magic_enum/x.y.z to your conan's requires, where x.y.z is the release version you want to use. -
18
Proxy
Proxy: Next Generation Polymorphism in C++
...To workaround these drawbacks, some languages like Java or C# choose to sacrifice performance by introducing GC to facilitate lifetime management, and JIT-compile the source code at runtime to generate full metadata. We improved the theory and implemented it as a C++ library without sacrificing performance, proposing to merge it into the C++ standard. -
19
cuDF
GPU DataFrame Library
Built based on the Apache Arrow columnar memory format, cuDF is a GPU DataFrame library for loading, joining, aggregating, filtering, and otherwise manipulating data. cuDF provides a pandas-like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of CUDA programming. For additional examples, browse our complete API documentation, or check out our more detailed notebooks. cuDF can be installed... -
20
NSync
nsync is a C library that exports various synchronization primitives
...It offers reader-writer locks, condition variables, run-once initialization, waitable counters, and waitable bits for coordination and cancellation between threads. Unlike traditional pthreads-based synchronization, nsync introduces conditional critical sections, allowing developers to wait for arbitrary conditions without explicit signaling or complex loop-based logic. This approach simplifies concurrency management and often improves readability and maintainability of multithreaded code. The library emphasizes efficiency, with locks and condition variables occupying minimal memory and supporting cancellation mechanisms through nsync_note objects rather than thread-level cancellation. ... -
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HighwayHash
Fast strong hash functions: SipHash/HighwayHash
HighwayHash is a fast, keyed hash function intended for scenarios where you need strong, DoS-resistant hashing without the full overhead of a general-purpose cryptographic hash. It’s designed to defeat hash-flooding attacks by mixing input with wide SIMD operations and a branch-free inner loop, so adversaries can’t cheaply craft many colliding keys. The implementation targets multiple CPU families with vectorized code paths while keeping a portable fallback, yielding high throughput across platforms. ... -
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Instigate XML Parser is a wrapper library around various XML parsing front-ends. It provides single API and ability to switch between supported front-ends without modifying the client code.
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23
Snap7
32/64 bit multi-platform Ethernet S7 PLC communication suite
...Designed to transfer large amounts of hi-speed data in industrial facilities, it scales easily, down to small Linux Arm boards such as Raspberry PI. Hi level object oriented wrappers are provided, currently C/C++, .NET/Mono, Pascal, LabVIEW, Python with many source code examples. Very easy to use, a full working server example is not bigger than the “Hello world”. Many projects/makefiles are ready to run to easily rebuild Snap7 in any platform without the need of be a C++ guru. Very detailed documentation provided. -
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DRACO
A ibrary for compressing and decompressing 3D geometric meshes
...Learn about compressing and viewing 3D models with Draco, and about different compression models and their effects. Draco was designed and built for compression efficiency and speed. The code supports compressing points, connectivity information, texture coordinates, color information, normals, and any other generic attributes associated with geometry. With Draco, applications using 3D graphics can be significantly smaller without compromising visual fidelity. For users, this means apps can now be downloaded faster, 3D graphics in the browser can load quicker, and VR and AR scenes can now be transmitted with a fraction of the bandwidth and rendered quickly. -
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ResIL
Resilient Image Library - successor to DevIL
ResIL started as a fork of DevIL and is actively maintained to use up-to-date libraries. The API has been updated to work with several threads. Countless fixes have been applied, much of the code base has actually been rewritten to enhance stability. Support for webp has been added. ResIL focuses on robust decoding so that even partially corrupted images can be displayed without crashes or exceptions.
