Showing 3192 open source projects for "memory"

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  • 1
    MobileLLM

    MobileLLM

    MobileLLM Optimizing Sub-billion Parameter Language Models

    MobileLLM is a lightweight large language model (LLM) framework developed by Facebook Research, optimized for on-device deployment where computational and memory efficiency are critical. Introduced in the ICML 2024 paper “MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases”, it focuses on delivering strong reasoning and generalization capabilities in models under one billion parameters. The framework integrates several architectural innovations—SwiGLU activation, deep and thin network design, embedding sharing, and grouped-query attention (GQA)—to achieve a superior trade-off between model size, inference speed, and accuracy. ...
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  • 2
    Tiktoken

    Tiktoken

    tiktoken is a fast BPE tokeniser for use with OpenAI's models

    ...It handles encoding and decoding text to token IDs efficiently, with minimal overhead. Because tokenization is a fundamental step in preparing text for models, tiktoken is optimized for speed, memory, and correctness in model contexts (e.g. matching OpenAI’s internal tokenization). The repo supports multiple encodings (e.g. “cl100k_base”) and lets users switch encoding names to match different model contexts. It also offers extension mechanisms so that custom encodings can be registered. Internally, it includes the core tokenizer logic (often implemented in Rust or efficient lower-level code), APIs for encoding, decoding, and counting tokens, and binding layers to Python (and sometimes other languages) for easy use.
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  • 3
    Cpp17

    Cpp17

    Chinese translation of C++17 The Complete Guide

    ...The content is organized into multiple parts: basic language features (e.g. structured binding, inline variables, enhanced switch, lambdas), template and compile-time features (e.g. fold expressions, class template argument deduction, constexpr improvements), and the additions to the standard library (e.g. std::optional, std::variant, std::string_view, file system, concurrency, and parallel algorithms). It also covers enhancements to existing STL components, new library utilities, and advanced topics like polymorphic memory resources (PMR), alignment, and generic programming improvements.
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  • 4
    LKMPG

    LKMPG

    The Linux Kernel Module Programming Guide

    ...It covers the full lifecycle: building and loading modules, understanding kernel symbols, handling device files, and interacting with kernel subsystems. Readers learn about concurrency concerns (spinlocks, mutexes), memory allocation in kernel space, and safe patterns for error handling and cleanup. The guide pairs narrative chapters with compilable code, so you can move from theory to practice and observe behavior directly with dmesg and friends. It also calls out pitfalls—like blocking in the wrong context or leaking references—that matter for stable, production-quality modules. ...
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  • 5
    RustPython

    RustPython

    A Python Interpreter written in Rust

    ...Its goal is to provide a fast, embeddable, and secure interpreter that can be integrated into Rust applications or used standalone. Because it’s in Rust, it benefits from memory safety and modern tooling, allowing developers to compile Python into efficient binaries or embed it as a scripting engine in Rust projects. The interpreter aims to support the Python standard library, dynamic typing, garbage collection, and common builtins, although full compatibility is a work in progress. It also supports bytecode compilation and execution, enabling faster startup and reuse of parsed code. ...
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  • 6
    Hanami

    Hanami

    A flexible framework for maintainable Ruby apps

    Hanami is a modern Ruby web framework that aims to be lightweight, fast, and modular, in contrast to the monolithic design of Rails. It emphasizes separation of concerns, encouraging developers to structure applications into clear layers of controllers, views, entities, and repositories. Each component—like the router, model layer, or view rendering engine—can be used independently, which gives developers flexibility to build lean applications. Hanami promotes immutability, plain old Ruby...
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  • 7
    mlr3

    mlr3

    mlr3: Machine Learning in R - next generation

    mlr3 is a modern, object-oriented R framework for machine learning. It provides core abstractions (tasks, learners, resamplings, measures, pipelines) implemented using R6 classes, enabling extensible, composable machine learning workflows. It focuses on clean design, scalability (large datasets), and integration into the wider R ecosystem via extension packages. Users can do classification, regression, survival analysis, clustering, hyperparameter tuning, benchmarking etc., often via...
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  • 8
    hmpl

    hmpl

    Server-oriented customizable templating for JavaScript

    hmpl is a small template language for displaying UI from server to client. It is based on customizable requests sent to the server via fetch and processed into ready-made HTML. The language is syntactically object-based and integrated with JSON5. Reduce the size of your javascript files and display the same UI as if it was written in a modern framework. Using HMPL, you can multiply reduce the size of the application bundle. Full customization of the request based on the modern fetch...
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  • 9
    OpenFGA
    ...OpenFGA is designed to make it easy for developers to model their application permissions and add and integrate fine-grained authorization into their applications. It allows in-memory data storage for quick development, as well as pluggable database modules. It currently supports PostgreSQL 14, MySQL 8, and SQLite (currently in beta). It offers an HTTP API and a gRPC API. It has SDKs for Java, Node.js/JavaScript, GoLang, Python, and .NET. Look in our Community section for third-party SDKs and tools. It can also be used as a library. ...
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  • 10
    Static Web Server

    Static Web Server

    A cross-platform, high-performance and asynchronous web server

    Static Web Server (or SWS abbreviated) is a tiny and fast production-ready web server suitable to serve static web files or assets. It is focused on lightness and easy-to-use principles while keeping high performance and safety powered by The Rust Programming Language. Written on top of Hyper and Tokio runtime, it provides concurrent and asynchronous networking abilities and the latest HTTP/1 - HTTP/2 implementations. Cross-platform and available for Linux, macOS, Windows, FreeBSD, NetBSD,...
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  • 11
    Ruma

    Ruma

    A set of Rust crates for interacting with the Matrix chat network

    ...Learn more in the Introduction to Matrix. Rust is a systems programming language from Mozilla built with safety, concurrency, and performance in mind. Its novel approach to memory safety and its rich type system make it an excellent choice for writing fast, secure, and reliable programs.
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  • 12
    DynaMix

    DynaMix

    A new take on polymorphism

    ...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 dynamix::object as a placeholder, whose instances can be extended with existing classes (mixins), thus providing a particular instance with the mixin features of all those types. Likely the most important types of mixin features are messages: functional objects that in C++-OOP terms can be thought of as methods. ...
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  • 13
    Routr

    Routr

    The future of programmable SIP servers

    Lightweight sip proxy, location server, and registrar that provides a reliable and scalable SIP infrastructure for telephony carriers, communication service providers, and integrators. Routr provides all the tools required to deploy your VoIP network, including a command-line for remote server control. It can also be controlled via a RESTful API or a web-based GUI. Routr includes all tools for deploying your VoIP network. It offers remote server control via command-line, RESTful API, or a...
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  • 14
    Coroot

    Coroot

    Open-source observability for microservices

    ...Understand your cloud costs down to any given application. Doesn't require access to your cloud account or any other configurations. Analyze any unexpected spike in CPU or memory usage down to the precise line of code. Don't make assumptions, know exactly what the resources were spent on. Easily investigate any anomaly by comparing it to the system's baseline behavior.
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  • 15
    OpenCost

    OpenCost

    Cost monitoring for Kubernetes workloads and cloud costs

    OpenCost is a vendor-neutral open-source project for measuring and allocating cloud infrastructure and container costs in real-time. Built by Kubernetes experts and supported by Kubernetes practitioners, OpenCost shines a light into the black box of Kubernetes spending. Flexible, customizable cost allocation and cloud resource monitoring for accurate showback, chargeback, and ongoing reporting. Dynamic asset pricing, through integrations with AWS, Azure, and GCP billing APIs as well as...
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  • 16
    SBJson 5

    SBJson 5

    This framework implements a strict JSON parser and generator

    ...You can start parsing and return chunks of the parsed document before the full document has downloaded. You can also parse massive documents bit by bit so you don't have to keep them all in memory.
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  • 17
    Superagent

    Superagent

    Superagent protects your AI applications

    Superagent is an open-source AI safety platform built to protect applications from prompt injections, data leaks, and harmful outputs. It embeds real-time safety directly into AI workflows, helping teams secure models before threats cause damage. Superagent provides guardrails that block jailbreaks, prompt manipulation, and sensitive data exfiltration. It includes redaction tools to remove PII, PHI, and secrets automatically from text. The platform also scans code repositories to detect...
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  • 18
    Prometheus JVM Client

    Prometheus JVM Client

    Prometheus instrumentation library for JVM applications

    It supports Java, Clojure, Scala, JRuby, and anything else that runs on the JVM. If you use Maven, you can simply reference the assets below. The latest version can be found on in the maven repository for io.prometheus. By default, counters, histograms, and summaries export an additional series suffixed with _created and a value of the unix timestamp for when the metric was created. Building the repository needs Java 11 (The project the project still supports Java 6 and Java versions > 11...
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  • 19
    plow

    plow

    A high-performance HTTP benchmarking tool

    ...It can run for a set duration( option -d), for a fixed number of requests(option -n), or until Ctrl-C is interrupted. The implementation of real-time computing Histograms and Quantiles using stream-based algorithms inspired by Prometheus with low memory and CPU bounds. so it's almost no additional performance overhead for benchmarking.
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  • 20
    Reposilite

    Reposilite

    Lightweight and easy-to-use repository management software

    ...This is simple, extensible and scalable self-hosted solution to replace managers like Nexus, Archiva, or Artifactory, with reduced resource consumption. To run Reposilite for your personal needs you should assign around 20MB of RAM and at least Java 11+ installed. For huge public repositories, you can adjust the memory limit and even the size of used thread pools in the configuration. The recommended tool to develop backend module is IntelliJ IDE, for front end it might be e.g. VSC. Personal access-token-based authorization with configurable routes and permissions. Personal access-token-based authorization with configurable routes and permissions. ...
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  • 21
    Miniredis

    Miniredis

    Pure Go Redis server for Go unittests

    Sometimes you want to test code which uses Redis, without making it a full-blown integration test. Miniredis implements (parts of) the Redis server, to be used in unittests. It enables a simple, cheap, in-memory, Redis replacement, with a real TCP interface. It saves you from using mock code, and since the redis server lives in the test process you can query for values directly, without going through the server stack. There are no dependencies on external binaries, so you can easily integrate it in automated build processes. Since miniredis is intended to be used in unittests TTLs don't decrease automatically. ...
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  • 22
    Branchless workflow for Git

    Branchless workflow for Git

    High-velocity, monorepo-scale workflow for Git

    ...Prototyping and experimenting workflows: strong support for prototyping and experimental work via "divergent" development. git sync: to rebase all local commit stacks and branches without having to check them out first. git move: The ability to move subtrees rather than "sticks" while cleaning up old branches, not touching the working copy, etc. Anonymous branching: reduces the overhead of branching for experimental work. In-memory operations: to modify the commit graph without having to check out the commits in question. git next/prev: to quickly jump between commits and branches in a commit stack.
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  • 23
    ObjectBox

    ObjectBox

    Flutter database for super-fast Dart object persistence

    ObjectBox Flutter database is a great option for storing Dart objects in your cross-platform apps. Minimal CPU, memory and battery use make it an ideal choice for mobile and IoT devices. Made for efficient data access, the ObjectBox Flutter database is 10x faster than any alternative. See the performance benchmarks below. No need to learn SQL, as our NoSQL database uses a pure Dart API that is easy to work with and can be integrated in minutes. Plus: We built a data synchronization solution that allows you to choose which objects to sync when and keep data easily and efficiently in sync across devices. ...
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  • 24
    Devtron

    Devtron

    Tool integration platform for Kubernetes

    ...Provides deployment metrics like; deployment frequency, lead time, change failure rate, and mean-time recovery. Seamlessly integrates with Grafana for continuous application metrics like CPU and memory usage, status code, throughput, and latency on the dashboard.
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  • 25
    react-native-mmkv-storage

    react-native-mmkv-storage

    Encrypted mobile key-value storage framework for React Native

    ...Starting from v0.5.0 the library has been rewritten in C++ on Android and iOS both. It employs React Native JSI making it the fastest storage option for React Native. MMKV uses mmap to keep memory synced with file, and protobuf to encode/decode values to achieve the best performance.
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