Search Results for "data structures c" - Page 10
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Showing 4338 open source projects for "data structures c"
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Adblock FastOwnTracks Recorder
Store and access data published by OwnTracks apps
The OwnTracks Recorder is a lightweight program for storing and accessing location data published via MQTT (or HTTP) by the OwnTracks apps. It is a compiled program which is easy to install and operate even on low-end hardware, and it doesn't require an external database. There are two main components: the Recorder obtains data via MQTT subscribes or HTTP POST, stores the data in plain files and serve it via its built-in REST API, and the ocat command-line utility reads stored data in a... -
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PowerShell
Command-line shell and scripting language built on .NET
Powershell is a cross-platform, task-based command-line shell and scripting language that helps rapidly automate tasks that manage operating systems (Linux, macOS and Windows) and processes. It works well with existing tools and is optimized for dealing with structured data, REST APIs and object models. PowerShell was developed by Microsoft as a task management and configuration management framework. Powershell is designed to let you manage computers from the command line and improve the... -
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ArrayFire
ArrayFire, a general purpose GPU library
ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if you're interested and able to write top performing tensor functions. Together we can fulfill The ArrayFire Mission under an excellent Code of Conduct that promotes a respectful and friendly building experience. ... -
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Tequila
A High-Level Abstraction Framework for Quantum Algorithms
Tequila is an abstraction framework for (variational) quantum algorithms. It operates on abstract data structures allowing the formulation, combination, automatic differentiation and optimization of generalized objectives. Tequila can execute the underlying quantum expectation values on state-of-the-art simulators as well as on real quantum devices. -
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iRODS
Open Source Data Management Software
The Integrated Rule-Oriented Data System (iRODS) is open-source data management software used by research, commercial, and governmental organizations worldwide. iRODS is released as a production-level distribution aimed at deployment in mission-critical environments. It virtualizes data storage resources, so users can take control of their data, regardless of where and on what device the data is stored. The development infrastructure supports exhaustive testing on supported platforms; plugin... -
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GridDB
GridDB is a next-generation open source database
A cyber-physical systems is a system that collects a variety of data in physical space (the real world), analyzes and converts it into knowledge in cyberspace, and feeds the knowledge back to the real world to revitalize industry and solve social problems. GridDB is an open database that enables real-time processing of vast amounts of time-series data in physical space, which is necessary to realize a cyber-physical system. Multi-model architecture capable of supporting various data stores... -
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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. -
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. -
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Keycastr
KeyCastr, an open-source keystroke visualizer
KeyCastr requires access to the macOS Accessibility API in order to receive your key events and broadcast the keystrokes you are interested in. On newer versions of macOS (10.15+) there is a new Input Monitoring menu under Security & Privacy within the System Preferences app, and KeyCastr will appear there automatically the first time you run it. Simply unlock this menu and check the box next to KeyCastr to enable it. On older versions of macOS, or if for some reason the app doesn't appear... -
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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tinypdf
Minimal PDF creation library
tinypdf is a minimal, zero-dependency PDF generation library that focuses on the core “put content on a page” use case while intentionally skipping heavyweight features. It is designed to be extremely small and approachable, making it a good fit when you want to generate real PDFs in Node/TypeScript without pulling in a large toolkit. The library supports essential primitives like writing text, drawing basic shapes, and placing JPEG images, which covers common needs such as invoices,... -
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PyTorch3D
PyTorch3D is FAIR's library of reusable components for deep learning
PyTorch3D is a comprehensive library for 3D deep learning that brings differentiable rendering, geometric operations, and 3D data structures into the PyTorch ecosystem. It’s designed to make it easy to build and train neural networks that work directly with 3D data such as meshes, point clouds, and implicit surfaces. The library provides fast GPU-accelerated implementations of rendering pipelines, transformations, rasterization, and lighting—making it possible to compute gradients through full 3D rendering processes. ... -
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Redpanda
Redpanda is a streaming data platform for developers
Faster data. Fewer nodes. More time for coffee. Redpanda is a Kafka®-compatible streaming data platform that is proven to be 10x faster and 6x more cost-efficient. It is also JVM-free, ZooKeeper®-free, Jepsen-tested and source available. We are building a real-time streaming engine for modern applications - from the enterprise to the solo dev prototyping a react application on her laptop. We go beyond the Kafka protocol, into the future of streaming with inline WASM transforms and... -
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Complete JavaScript Course
Starter files, final projects, and FAQ for Complete JavaScript course
...It contains starter files, final project files, and frequently asked questions that support the video-based Udemy course. The material is organized by course sections, covering fundamentals, developer skills, DOM projects, JavaScript internals, data structures, functions, arrays, OOP, asynchronous JavaScript, modules, tooling, and larger final applications. Learners can start with the starter code and compare their work with the final versions when debugging. The repository also links to deployed examples of major projects such as Pig Game, Bankist, Mapty, and forkify. It is primarily an educational companion resource rather than a standalone software product. -
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Steam Achievement Manager
A manager for game achievements in Steam
Steam Achievement Manager is a lightweight, portable desktop application designed to give users direct control over achievements and statistics associated with their Steam games. It works by interfacing with the Steam client and APIs, allowing users to unlock, relock, or modify achievements without needing to launch the actual game. The tool provides a simple interface where users can browse their game library, select a title, and view all available achievements in a structured format.... -
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pgModeler
Open-source data modeling tool designed for PostgreSQL
pgModeler is an open-source data modeling tool for PostgreSQL, enabling visual creation and management of database schemas. It supports reverse engineering from existing databases, model validation, and SQL export, providing a full-featured GUI for database design. pgModeler is suited for developers, DBAs, and analysts who want to streamline schema creation and documentation. -
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rust-rocksdb
Rust wrapper for rocksdb
...But this crate doesn't allow it by default for compatibility. If you need to modify column families concurrently, enable crate feature called multi-threaded-cf, which makes this binding's data structures to use RwLock by default. -
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ArcticDB
ArcticDB is a high performance, serverless DataFrame database
Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real-world data with an Incredibly fast proven Petabyte scale. ArcticDB is designed with quant users in mind. It allows you to self-manage your data leveraging your preferred infrastructure. Giving you the keys to protect your most valuable asset. Supports large concurrent writes to many tables ensuring datasets can be onboarded fast and in the most convenient format. Scale-out architecture... -
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Google Mobile Ads Unity Plugin
}Unity Plugin for the Google Mobile Ads SDK
...This repository contains the source code for the Google Mobile Ads Unity plugin. This plugin enables Unity developers to easily serve Google Mobile Ads on Android and iOS apps without having to write Java or Objective-C code. The plugin provides a C# interface for requesting ads that is used by C# scripts in your Unity project. You can help improve the Google Mobile Ads Unity plugin by opting-in to sending usage data to Google. The data collected is general information about how you are using the plugin (such as ad unit creation and processing errors). -
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POCO
Cross-platform C++ libraries for building network applications
The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems. Whether building automation systems, industrial automation, IoT platforms, air traffic management systems, enterprise IT application and infrastructure management, security and network analytics, automotive infotainment and telematics, financial or healthcare, C++ developers have been trusting the POCO C++... -
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NVIDIA Earth2Studio
Open-source deep-learning framework
NVIDIA Earth2Studio is an open-source Python package and framework designed to accelerate the development and deployment of AI-driven weather and climate science workflows. It provides a unified API that lets researchers, data scientists, and engineers build complex forecasting and analysis pipelines by combining modular prognostic and diagnostic AI models with a diverse range of real-world data sources such as global forecast systems, reanalysis datasets, and satellite feeds. The toolkit makes it easy to run deterministic and ensemble forecasts, swap models interchangeably, and process large geophysical datasets with Xarray structures, enabling experimentation with state-of-the-art deep learning models for climate and atmospheric prediction. ... -
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Runeset
Fast UTF-8 codepoint sets for Zig
...There may be prior art, it's remarkably difficult to search for "UTF-8 character sets" and find papers on set data structures, so I can't say with high confidence that it's truly novel; in a sense, it's an obvious extension of the widespread practice of using a pair of u64 bitmasks to detect a set of ASCII values. What I can say is: it's effective. The RuneSet struct is just a slice of u64, offering a few variations on set membership tests, depending on how confident you are that the string it's testing is valid UTF-8, and what you would like the test to do in the event that it isn't. -
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jsoniter-scala
Scala macros for compile-time generation of safe and ultra-fast JSON
...The idea to generate codecs by Scala macros and main details was borrowed from Kryo Macros and adapted for the needs of the JSON domain. Validate parsed values safely with the fail-fast approach and clear reporting, provide configurable limits for suboptimal data structures with safe defaults to be resilient for DoS attacks, generate codecs that create instances of a fixed set of classes during parsing to avoid RCE attacks. -
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WebP Codec
Library to encode and decode images in WebP format
...The GitHub repository is a mirror; the canonical source of truth lives on Chromium’s git, and developer docs are hosted on WebP’s portal. The project underpins WebP support across browsers, imaging libraries, and many native apps thanks to its stable C API. Additional companion repos host test data and demos, including JavaScript builds and timing tests for various platforms. As a widely deployed codec, libwebp balances compression efficiency, speed, and integration simplicity across platforms. -
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Cython
The most widely used Python to C compiler
...Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. Integrate natively with existing code and data from legacy, low-level or high-performance libraries and applications. The Cython language is a superset of the Python language that additionally supports calling C functions and declaring C types on variables and class attributes. -
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pgvector
Open-source vector similarity search for Postgres
pgvector is an open-source PostgreSQL extension that equips PostgreSQL databases with vector data storage, indexing, and similarity search capabilities—ideal for embeddings-based applications like semantic search and recommendations. You can add an index to use approximate nearest neighbor search, which trades some recall for speed. Unlike typical indexes, you will see different results for queries after adding an approximate index. An HNSW index creates a multilayer graph. It has better...
