Search Results for "memory" - Page 8
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Showing 1021 open source projects for "memory"
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1
Casbin
An authorization library that supports access control models
...In Casbin, an access control model is abstracted into a CONF file based on the PERM metamodel (Policy, Effect, Request, Matchers). So switching or upgrading the authorization mechanism for a project is just as simple as modifying a configuration. Besides memory and file, Casbin policy can be stored into lots of places. Currently, dozens of databases are supported, from MySQL, Postgres, Oracle to MongoDB, Redis, Cassandra, AWS S3. Check the full supported list at: adapters. Casbin is implemented in Golang, Java, PHP and Node.js. All implementations share the same API and behaviors. You can learn Casbin once and use it everywhere. ... -
2
opencvsharp
OpenCV wrapper for .NET
...Objects of classes, such as Mat and MatExpr, have unmanaged resources and need to be manually released by calling the Dispose() method. Worst of all, the +, -, *, and other operators create new objects each time, and these objects need to be disposed of, or there will be memory leaks. Despite the using syntax, the code still looks very verbose. -
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Down
Streaming downloads using Net::HTTP, http.rb or HTTPX
Down is a small, reliable Ruby library for downloading files that favors correctness, streaming, and clear error handling. It follows redirects safely, supports timeouts and retries, and streams responses to disk to keep memory usage low—ideal for large downloads or server environments. The API returns file-like objects (often Tempfile) with helpful metadata such as original filename and content type, which plays nicely with file-attachment libraries and background jobs. Multiple HTTP backends are supported, letting you choose between Net::HTTP or faster/feature-rich clients while keeping a consistent interface. ... -
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Bloom filters
Go package implementing Bloom filters
...When you construct, you need to know how many elements you have (the desired capacity), and what is the desired false positive rate you are willing to tolerate. A common false-positive rate is 1%. The lower the false-positive rate, the more memory you are going to require. Similarly, the higher the capacity, the more memory you will use. You may construct the Bloom filter capable of receiving 1 million elements with a false-positive rate of 1%. -
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5
TBOX
A glib-like multi-platform c library
TBOX is a glib-like cross-platform C library that is simple to use yet powerful in nature. The project focuses on making C development easier and provides many modules (.e.g stream, coroutine, regex, container, algorithm ...), so that any developer can quickly pick it up and enjoy the productivity boost when developing in C language. It supports the following platforms: Windows, Macosx, Linux, Android, iOS, BSD and etc. Supports file, data, http and socket source. Supports the stream filter... -
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Carbon Language
Carbon Language's main repository
Carbon is an experimental successor to C++, developed by Google to serve as a modern, safer, and more evolvable systems programming language—designed to interoperate with C++ while providing clearer language design and tooling. Performance matching C++ using LLVM, with low-level access to bits and addresses. Interoperate with your existing C++ code, from inheritance to templates. Fast and scalable builds that work with your existing C++ build systems. -
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ShareDB
Realtime database backend based on Operational Transformation (OT)
...Projections to select desired fields from documents and operations. Middleware for implementing access control and custom extensions. Ideal for use in browsers or on the server. In-memory implementations of database and pub/sub for unit testing. Access to historic document versions. Realtime user presence syncing. -
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LoopVectorization.jl
Macro(s) for vectorizing loops
LoopVectorization.jl is a Julia package for accelerating numerical loops by automatically applying SIMD (Single Instruction, Multiple Data) vectorization and other low-level optimizations. It analyzes loops and generates highly efficient code that leverages CPU vector instructions, making it ideal for performance-critical computing in fields such as scientific computing, signal processing, and machine learning. -
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NVTX (NVIDIA Tools Extension Library)
C-based Application Programming Interface (API)
...The API is written in C and includes wrappers for C++ and Python, making it accessible across different programming environments and workloads. NVTX is particularly valuable in high-performance computing and AI workloads where understanding concurrency, memory usage, and kernel execution is critical for optimization. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Zen C
Write like a high-level language, run like C
...Zen-C includes a lightweight compiler front-end and runtime that can target multiple platforms, enabling users to compile and run code on both desktop and embedded environments without heavy tooling. Because it prioritizes clarity and predictability, the language makes it easier for learners to understand core systems concepts while still accessing low-level memory control and performance. -
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SDWebImageSwiftUI
SwiftUI Image loading and Animation framework powered by SDWebImage
SDWebImageSwiftUI is a SwiftUI image-loading framework, which is based on SDWebImage. It brings all your favorite features from SDWebImage, like async image loading, memory/disk caching, animated image playback and performances. The framework provide the different View structs, which API match the SwiftUI framework guideline. If you're familiar with Image, you'll find it easy to use WebImage and AnimatedImage. Since SDWebImageSwiftUI is built on top of SDWebImage, it provide both the out-of-box features as well as advanced powerful features you may want in real world Apps. -
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GopherLua
GopherLua: VM and compiler for Lua in Go
...It provides Go APIs that allow you to easily embed a scripting language to your Go host programs. The stack-based API like the one used in the original Lua implementation will cause a performance improvement in GopherLua (It will reduce memory allocations and concrete type <-> interface conversions). GopherLua API is not a stack-based API. GopherLua gives preference to user-friendliness over performance. GopherLua APIs perform in much the same way as Lua, but the stack is used only for passing arguments and receiving returned values. -
13
MQTTnet
High performance .NET library for MQTT based communication
...It provides an MQTT client and an MQTT server (broker) and supports the MQTT protocol up to version 5. TLS support for client and server (but not UWP servers). Extensible communication channels (e.g. In-Memory, TCP, TCP+TLS, WS). Lightweight (only the low-level implementation of MQTT, no overhead). Performance optimized (processing ~150.000 messages/second). Uniform API across all supported versions of the MQTT protocol. Tested on the local machine (Intel i7 8700K) with MQTTnet client and server running in the same process using the TCP channel. ... -
14
Urbit
An operating function
...It solves the hard problems of implementing a peer-to-peer network (including identity, NAT traversal, and exactly-once delivery) in the kernel so app developers can focus on business logic. The entire OS is a single pure function that provides application developers with strong guarantees: automated persistence and memory management, repeatable builds, and support for hot code reloading. Urbit is a personal OS designed from scratch to run peer-to-peer applications. A clean-slate OS and network for the 21st century. -
15
py-spy
Sampling profiler for Python programs
py-spy is a sampling profiler for Python programs. It lets you visualize what your Python program is spending time on without restarting the program or modifying the code in any way. py-spy is extremely low overhead: it is written in Rust for speed and doesn't run in the same process as the profiled Python program. This means py-spy is safe to use against production Python code. py-spy works from the command line and takes either the PID of the program you want to sample from or the command... -
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Tile38
Ultra Fast Geospatial Database & Geofencing Server
When you need the best performance for your location-based applications, you can rely on Tile38. Tile38 is an ultra-fast, open source geospatial database and geofencing server capable of real-time geofencing, fast spatial indexing and more. It supports a variety of object types including lat/lon, Geohash, bbox, GeoJSON, QuadKey, and XYZ tile; and is capable of operations like Nearby, Within, and Intersects. There’s also built-in support for many popular tools. Tile38 is made up of 3 main... -
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PortableGL
An implementation of OpenGL 3.x-ish in clean C
PortableGL is a single-header, software-only implementation of a subset of OpenGL (specifically the GL 2.1 pipeline), designed to run entirely on the CPU. This lightweight graphics library allows OpenGL-style rendering without GPU acceleration, making it ideal for educational use, debugging, embedded systems, and retro-style software rendering. Because it mirrors OpenGL syntax and design, it can act as a drop-in CPU renderer for testing or deploying 3D graphics on platforms without GPU support. -
18
Proxy
Proxy: Next Generation Polymorphism in C++
...There are many drawbacks in this mechanism, including life management (because each object may have a different size and ownership) and reflection (because it is hard to balance between usability and memory allocation). 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
Tokio
A runtime for writing reliable asynchronous applications with Rust
...These include a multithreaded, work-stealing based task scheduler; a reactor that's supported by the operating system's event queue; and asynchronous TCP and UDP sockets. Tokio is reliable in that its APIs are memory-safe, thread-safe, and misuse-resistant. Thanks to its task scheduler, it is also incredibly fast. It is capable of processing hundreds of thousands of requests per second with little to no overhead. -
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Memory Guard Win
Gerencia memória e CPU de apps no Windows com regras fáceis
MemoryGuardWin é um utilitário para Windows que ajuda a controlar o consumo de memória de programas sem fechar aplicações nem interromper o trabalho. Você cria regras por executável, define limite em MB e intervalo de verificação, e a ferramenta aplica ajustes no working set quando detecta excesso de uso. A interface mostra processos em tempo real, com nome amigável, executável, PID, CPU, disco, memória e status da regra, facilitando identificar quem está pesando no sistema. Também inclui... -
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Simply Memory Manager
Memory manager for Free Pascal
The Simply Memory Manager (SMM) is a replacement for the native memory manager for Free Pascal and Lazarus projects on Windows. Download SMM at https://opensimply.org/smm Free Pascal's native memory manager uses certain memory allocation and deallocation functions for 32-bit Windows applications that cause fatal errors when reusing large amounts of memory repeatedly, and it runs in this case rather slowly. -
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Infer
A static analyzer for Java, C, C++, and Objective-C
...Infer checks for null pointer exceptions, resource leaks, annotation reachability, missing lock guards, and concurrency race conditions in Android and Java code. Infer checks for null pointer dereferences, memory leaks, coding conventions and unavailable API’s. Start with the Getting Started guide and our other docs to download and try Infer yourself. Infer is still evolving, and we want to continue to develop it in the open. We hope it will be useful for other projects, so please try it out or contribute to it, join the community and give us feedback! -
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Mockito
Most popular Mocking framework for unit tests written in Java
...In particular anyone using Kotlin (which demands using mockito-inline) and PowerMock (which exacerbates the problem even more) will want to add this to all of their test classes to avoid a large memory leak. Fancy getting world-wide visibility and building up an eternal fame of an OSS contributor? Use the latest version! Hack and experiment. Speak up at the mailing list. Mockito is a mocking framework that tastes really good. It lets you write beautiful tests with a clean & simple API. Mockito doesn’t give you hangover because the tests are very readable and they produce clean verification errors. -
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Laravel Chunk Upload
The basic implementation for chunk upload with multiple providers
Laravel Chunk Upload simplifies chunked uploads with support for multiple JavaScript libraries atop Laravel's file upload system, designed with a minimal memory footprint. Features include cross-domain request support, automatic cleaning, and intuitive usage. -
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graphql upload typescript
Middleware and an Upload scalar to add support for GraphQL
Minimalistic and developer-friendly middleware and an Upload scalar to add support for GraphQL multipart requests (file uploads via queries and mutations) to various Node.js GraphQL servers. This module was forked from the amazing graphql-upload-minimal. The original module is exceptionally well-documented and well-written. It was very easy to fork and amend.
