Showing 3192 open source projects for "memory"

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    MongoDB Atlas runs apps anywhere

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  • 1
    AWS Secrets Manager Go Caching Client

    AWS Secrets Manager Go Caching Client

    Enables in-process caching of secrets for Go applications

    ...MaxCacheSize int is the maximum number of cached secrets to maintain before evicting secrets that have not been accessed recently. Hook CacheHook is used to hook in-memory cache updates.
    Downloads: 0 This Week
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  • 2
    Rescript Compiler

    Rescript Compiler

    The compiler for ReScript

    ...ReScript cares about a consistent and fast feedback loop for any codebase size. Refactor code, pull complex changes or switch to feature branches as you please. No sluggish CI builds stale caches, wrong type hints, or memory-hungry language servers that slow you down. Every ReScript app is fully typed and provides reliable type information for any given value in your program. We prioritize simpler types over complex types for the sake of clarity and easy debugability. No `any`, no magic types, no surprise `undefined`. Use any library from JavaScript, export ReScript libraries to JavaScript, and automatically generate TypeScript types. ...
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  • 3
    HTTP Kit

    HTTP Kit

    Clojure HTTP server/client library with WebSocket support

    ...It comfortably handles tens of thousands of requests/sec on even midrange hardware. Here is another test about how it stacks up with others. It's not only fast, but efficient! Each connection costs nothing but a few kB of memory. RAM usage grows O(n) with connections. Written from the ground-up to be lean, the entire client/server is available as a single ~90kB JAR with zero dependencies and ~3k lines of (mostly Java) code. Synchronous is simple. Asynchronous is fast & flexible.
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  • 4
    RIBs

    RIBs

    Uber's cross-platform mobile architecture framework

    ...Plus, most RIB logic is decoupled from child RIB logic. This makes RIB classes easy to test and reason about independently. Tooling for developer productivity. RIBs come with IDE tooling around code generation, memory leak detection, static analysis and runtime integrations.
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    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

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  • 5
    Riemann

    Riemann

    A network event stream processing system, in Clojure

    Riemann aggregates events from your servers and applications with a powerful stream processing language. Send an email for every exception in your app. Track the latency distribution of your web app. See the top processes on any host, by memory and CPU. Combine statistics from every Riak node in your cluster and forward to Graphite. Track user activity from second to second. Riemann streams are just functions which accept an event. Events are just structs with some common fields like :host and :service You can use dozens of built-in streams for filtering, altering, and combining events, or write your own. ...
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  • 6
    Alternative JSON parser for Go

    Alternative JSON parser for Go

    One of the fastest alternative JSON parser for Go

    It does not require you to know the structure of the payload (eg. create structs), and allows accessing fields by providing the path to them. It is up to 10 times faster than standard encoding/json package (depending on payload size and usage), allocates no memory. Originally made for a project that relies on a lot of 3rd party APIs that can be unpredictable and complex. Encoding/json requires you to know exactly your data structures, or if you prefer to use map[string]interface{} instead, it will be very slow and hard to manage. I investigated what's on the market and found that most libraries are just wrappers around encoding/json, there is few options with own parsers (ffjson, easyjson), but they still require you to create data structures. ...
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  • 7
    PostgreSQL client and ORM for Golang

    PostgreSQL client and ORM for Golang

    Golang ORM with focus on PostgreSQL features and performance

    ...ORM supports has one, belongs to, has many, and many to many with composite/multi-column primary keys. ForEach that calls a function for each row returned by the query without loading all rows into the memory.
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  • 8
    Workerman

    Workerman

    An asynchronous event driven PHP socket framework

    ...Based on the high-performance Epoll event network library, a single machine can support millions of concurrent connections, with a long connection throughput of up to 36W/S. Objects such as PHP database can be resident in memory, reducing analysis and compilation and network overhead.
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  • 9
    Akka

    Akka

    Build concurrent, distributed, and resilient message-driven apps

    ...Building on the principles of The Reactive Manifesto Akka allows you to write systems that self-heal and stay responsive in the face of failures. Up to 50 million msg/sec on a single machine. Small memory footprint; ~2.5 million actors per GB of heap. Distributed systems without single points of failure. Load balancing and adaptive routing across nodes. Event Sourcing and CQRS with Cluster Sharding. Distributed Data for eventual consistency using CRDTs. Asynchronous non-blocking stream processing with backpressure.
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  • 10

    Halide

    A language for fast, portable data-parallel computation

    ...It works on all major operating systems and with several CPU architectures (X86, ARM, MIPS, Hexagon, PowerPC) and GPU Compute APIs (CUDA, OpenCL, OpenGL, among others). It isn't a standalone programming language however; rather it is embedded in C++ which means that you write C++ code, building an in-memory representation of a Halide pipeline using Halide's C++ API. 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++.
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  • 11
    .NET for Apache Spark

    .NET for Apache Spark

    A free, open-source, and cross-platform big data analytics framework

    .NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write...
    Downloads: 1 This Week
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  • 12
    Pal

    Pal

    A personal context-agent that learns how you work

    Pal is an open-source AI personal agent built within the Agno ecosystem that functions as an intelligent digital assistant designed to learn from user activity over time. The system acts as an AI-powered “second brain” capable of capturing, organizing, and retrieving personal knowledge such as notes, bookmarks, research findings, people, and meeting information. Instead of acting as a simple chatbot, Pal continuously builds a structured database of a user’s knowledge and context so it can...
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  • 13
    LingBot-World

    LingBot-World

    Advancing Open-source World Models

    LingBot-World is an open-source, high-fidelity world simulator designed to advance the state of world models through video generation. Built on top of Wan2.2, it enables realistic, dynamic environment simulation across diverse styles, including real-world, scientific, and stylized domains. LingBot-World supports long-term temporal consistency, maintaining coherent scenes and interactions over minute-level horizons. With real-time interactivity and sub-second latency at 16 FPS, it is...
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  • 14
    Positron

    Positron

    Positron, a next-generation data science IDE

    Positron is a next-generation integrated development environment (IDE) created by Posit PBC (formerly RStudio Inc) specifically tailored for data science workflows in Python, R, and multi-language ecosystems. It aims to unify exploratory data analysis, production code, and data-app authoring in a single environment so that data scientists move from “question → insight → application” without switching tools. Built on the open-source Code-OSS foundation, Positron provides a familiar coding...
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  • 15
    Serverless Java container

    Serverless Java container

    A Java wrapper to run Spring, Spring Boot, Jersey, and other apps

    The AWS Serverless Java Container library is a framework that allows developers to run existing or new Java web applications—built with frameworks such as Spring, Jersey, Spark, Struts—inside AWS Lambda with minimal modifications. It bridges the gap between traditional servlet or web-framework models and serverless functions by mapping HTTP events from API Gateway into requests your framework understands and routing responses back appropriately. This means you can keep much of your familiar...
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  • 16
    NSync

    NSync

    nsync is a C library that exports various synchronization primitives

    ...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. Designed with portability and performance in mind, nsync can be compiled on Unix-like systems and Windows using a C90 compiler.
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  • 17
    CogVLM2

    CogVLM2

    GPT4V-level open-source multi-modal model based on Llama3-8B

    ...It supports bilingual interaction (Chinese and English) and has open-source versions optimized for dialogue and video comprehension. Notably, the Int4 quantized version allows efficient inference on GPUs with only 16GB of memory. The repository offers demos, API servers, fine-tuning examples, and integration with OpenAI API-compatible endpoints, making it accessible for both researchers and developers.
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  • 18
    iOS Interview Questions

    iOS Interview Questions

    iOS interview questions

    This repository collects a broad, categorized list of interview questions (with expected answers) that are commonly asked in iOS or Swift engineering interviews. Topics range from language fundamentals (memory management, ARC, value vs. reference types), to UIKit/SwiftUI, concurrency, Grand Central Dispatch, background execution, networking, design patterns, system frameworks, and architecture decisions. Each question is usually backed by sample explanations or code snippets, helping candidates understand not just what to answer but why it matters and how to reason about tradeoffs. ...
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  • 19
    XiangShan

    XiangShan

    Open-source high-performance RISC-V processor

    ...The design targets modern performance goals—deep pipelines, speculative execution, multi-issue decode/execute, and sophisticated branch prediction—while remaining synthesizable for ASIC flows and portable to FPGAs for research. A modular microarchitecture separates frontend, backend, and memory subsystems with coherent caches and scalable interconnects, enabling multi-core configurations. The project invests heavily in verification: differential testing against reference models, extensive random instruction tests, and full software stacks (bootloaders, Linux) to validate correctness under realistic workloads. Tooling around the core (build scripts, simulators, waveform/debug support) lowers the barrier for academics and industry contributors to experiment and extend.
    Downloads: 0 This Week
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  • 20
    Universal Tool Calling Protocol (UTCP)

    Universal Tool Calling Protocol (UTCP)

    Official python implementation of UTCP. UTCP is an open standard

    The python-utcp repository is the official Python SDK implementation of the Universal Tool Calling Protocol (UTCP). UTCP is an open, modern standard designed to let AI agents call any tool or API directly—over HTTP, CLI, WebSocket, gRPC, and more—without the overhead of extra wrapper layers or middleware. It leverages a modular, plugin-based architecture built around Pydantic models and separates the core functionality into a lightweight client and extensible protocol plugins, enabling...
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  • 21
    Likwid

    Likwid

    Performance monitoring and benchmarking suite

    Likwid is a simple to install and use toolsuite of command line applications and a library for performance oriented programmers. It works for Intel, AMD, ARMv8 and POWER9 processors on the Linux operating system. There is additional support for Nvidia and AMD GPUs. There is support for ARMv7 and POWER8/9 but there is currently no test machine in our hands to test them properly.
    Downloads: 0 This Week
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  • 22
    Kotlin Dataframe

    Kotlin Dataframe

    Structured data processing in Kotlin

    Data frame is an abstraction for working with structured data. Essentially it’s a 2-dimensional table with labeled columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dictionary of series objects. The handiness of this abstraction is not in the table itself but in a set of operations defined on it. The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. The process of working with data frame is often called data...
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  • 23
    jCasbin

    jCasbin

    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. jCasbin is a powerful and efficient open-source access control library for Java projects. It provides support for enforcing authorization based on various access control models.
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  • 24
    RSocket

    RSocket

    Java implementation of RSocket

    ...This will let you manage the Payload without copying the data from the underlying transport. You must free the Payload when you are done with them or you will get a memory leak. Used correctly this will reduce latency and increase performance.
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  • 25
    Deep Lake

    Deep Lake

    Data Lake for Deep Learning. Build, manage, and query datasets

    ...Deeplake automatically decompresses them to raw data only when needed, e.g., when training a model. Treat your cloud datasets as if they are a collection of NumPy arrays in your system's memory. Slice them, index them, or iterate through them.
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