Search Results for "data structures c" - Page 5
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Showing 6777 open source projects for "data structures c"
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Bracket
Selfhosted tournament system
Bracket is an open-source tool that tracks and manages data access across your PostgreSQL database. It provides visibility into which parts of your codebase are accessing which tables and columns, enabling data governance, security auditing, and architectural insights. Bracket is particularly helpful for growing teams needing better observability in complex applications. -
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Agrona
High Performance data structures and utility methods for Java
Agrona provides a library of data structures and utility methods that are a common need when building high-performance applications in Java. Many of these utilities are used in the Aeron efficient reliable UDP unicast, multicast, and IPC message transport and provides high-performance buffer implementations to support the Simple Binary Encoding Message Codec. -
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Nelmio Alice
Expressive fixtures generator
Nelmio Alice is a PHP library designed to generate complex data fixtures for testing and development environments. It uses YAML, XML, or PHP files to define fixture templates, making it easy to create realistic and varied data sets. Alice integrates well with Doctrine ORM, allowing developers to quickly populate databases with test data, making it especially useful for automated testing and staging environments. -
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brms
brms R package for Bayesian generalized multivariate models using Stan
brms is an R package by Paul Bürkner which provides a high-level interface for fitting Bayesian multilevel (i.e. mixed effects) models, generalized linear / non-linear / multivariate models using Stan as the backend. It allows R users to specify complex Bayesian models using formula syntax similar to lme4 but with far more flexibility (distributions, link functions, hierarchical structure, nonlinear terms, etc.). It supports model diagnostics, posterior predictive checking, model comparison,... -
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Pydantic-Core
Core validation logic for pydantic written in rust
pydantic-core is the Rust-based core validation logic for Pydantic, a widely used data validation library in Python. It offers significant performance improvements over its predecessor, enabling faster and more efficient data parsing and validation. -
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gdbgui
Browser-based frontend to gdb (gnu debugger)
Browser-based frontend to gdb (gnu debugger). Add breakpoints, view the stack, visualize data structures, and more in C, C++, Go, Rust, and Fortran. Run gdbgui from the terminal and a new tab will open in your browser. gdbgui is a browser-based frontend to gdb, the gnu debugger. You can add breakpoints, view stack traces, and more in C, C++, Go, and Rust! It's perfect for beginners and experts. Simply run gdbgui from the terminal to start the gdbgui server, and a new tab will open in your browser. gdbgui is used by thousands of developers around the world including engineers at Google and college computer science course instructions. ... -
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reticulate
R Interface to Python
reticulate is an R package from Posit that creates seamless interoperability between R and Python. It lets you call Python modules, classes, and functions from within R, automatically translating between R and Python data structures. Useful for combining Python tooling with R projects, data analysis, and RMarkdown reports. -
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PlotJuggler
The Time Series Visualization Tool that you deserve
Fast, intuitive, and extensible time series visualization tool. Its Drag & Drop interface is designed to maximize both simplicity and speed. PlotJuggler is perfect for visualizing logs, offline and real-time data, and it can be used in multiple fields. PlotJuggler can be connected to an external application using any inter-process communication and display data in real time. Thanks to its plugin-based architecture, it is easy to add new data sources and functionalities. If needed, you can... -
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Symfony PropertyInfo
Extracts information about PHP class' properties using metadata
Symfony PropertyInfo is a component that extracts information about the properties of PHP classes, such as their names, types, visibility, and documentation. It is particularly useful in scenarios like serialization, form generation, and validation, where understanding the structure of an object is essential. PropertyInfo can fetch data from PHPDoc annotations, reflection, and type hints, offering flexible integration with Symfony and other systems. -
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Google Node.js Datastore
Node.js client for Google Cloud Datastore
Google’s Node.js Datastore client is a library for interacting with Google Cloud Datastore, a fully managed NoSQL database. It enables developers to store and query structured data in a scalable and serverless manner. The library provides an easy-to-use API for integrating Datastore into Node.js applications. -
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Catlab.jl
A framework for applied category theory in the Julia language
...It emphasizes monoidal categories due to their wide applicability but can support any categorical structure that is formalizable as a generalized algebraic theory. First and foremost, Catlab provides data structures, algorithms, and serialization for applied category theory. Macros offer a convenient syntax for specifying categorical doctrines and type-safe symbolic manipulation systems. Wiring diagrams (aka string diagrams) are supported through specialized data structures and can be serialized to and from GraphML (an XML-based format) and JSON. -
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SCI
Configurable Clojure/Script interpreter suitable for scripting
SCI is a lightweight Clojure interpreter designed for embedding and scripting in JVM or native apps (e.g., Babashka). It supports stateful contexts, multiple evaluations, and a configurable environment without full JVM startup overhead. Packed with optional extensions (like reagent, js-interop), it enables REPL-like interactivity in minimal environments. -
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AutoMLPipeline.jl
Package that makes it trivial to create and evaluate machine learning
AutoMLPipeline (AMLP) is a package that makes it trivial to create complex ML pipeline structures using simple expressions. It leverages on the built-in macro programming features of Julia to symbolically process, and manipulate pipeline expressions and makes it easy to discover optimal structures for machine learning regression and classification. To illustrate, here is a pipeline expression and evaluation of a typical machine learning workflow that extracts numerical features (numf) for ica (Independent Component Analysis) and pca (Principal Component Analysis) transformations, respectively, concatenated with the hot-bit encoding (ohe) of categorical features (catf) of a given data for rf (Random Forest) modeling. -
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Apache Avro
Apache Avro is a data serialization system
Apache Avro™ is a data serialization system. Simple integration with dynamic languages. Code generation is not required to read or write data files nor to use or implement RPC protocols. Code generation is an optional optimization, is only worth implementing for statically typed languages. Avro relies on schemas. When Avro data is read, the schema used when writing it is always present. This permits each datum to be written with no per-value overheads, making serialization both fast and... -
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Query.jl
Query almost anything in julia
Query is a package for querying julia data sources. It can filter, project, join and group data from any iterable data source, including all the sources supported in IterableTables.jl. One can for example query any of the following data sources: any array, DataFrames, DataStreams (including CSV, Feather, SQLite, ODBC), DataTables, IndexedTables, TimeSeries, Temporal, TypedTables and DifferentialEquations (any DESolution). -
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Aerospike Node.js Client
Node.js client for the Aerospike database
Aerospike Node.js Client is the official Node.js driver for Aerospike, a high-performance NoSQL database optimized for real-time applications. It provides low-latency access to key-value stores and supports advanced data structures for AI, financial, and IoT applications. -
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Complete-Python-Bootcamp
The complete Python bootcamp guide
...The bootcamp also includes dedicated modules for data analysis with Python, working with databases, and logging, helping learners connect Python skills to data science and backend engineering tasks. -
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NocoBase
Extensibility-first, open-source no-code/low-code platform
NocoBase is an extensibility-first, open source, self-hosted no-code development platform designed for developers and technical teams to rapidly build and customize complex business systems. Its architecture is data model-driven, separating the user interface from the data structure, allowing for the creation of multiple blocks and actions for the same table and record in any quantity and form. NocoBase supports main databases, external databases, and third-party APIs as data sources. It... -
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NutsDB
A simple, fast, embeddable, persistent key/value store written in Go
A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set. It supports fully serializable transactions and many data structures such as list、set、sorted set. All operations happen inside a Tx. Tx represents a transaction, which can be read-only or read-write. Read-only transactions can read values for a given bucket and a given key or iterate over a set of key-value pairs. ... -
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Alternative JSON parser for Go
One of the fastest alternative JSON parser for Go
...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. The goal of this project is to push JSON parser to the performance limits and not sacrifice with compliance and developer user experience. -
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GPT fdisk is a disk partitioning tool loosely modeled on Linux fdisk, but used for modifying GUID Partition Table (GPT) disks. The related FixParts utility fixes some common problems on Master Boot Record (MBR) disks.
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AionUi
Free, local, open-source Cowork for Gemini CLI, Claude Code, Codex
...Instead of forcing users to work in separate terminals for each tool, AionUi automatically detects installed CLI tools and provides a central visual workspace where sessions can run in parallel, contexts are preserved, and conversations are saved locally without sending data to external servers. It enhances productivity by offering smart file management features like batch renaming, automatic organization, and intelligent file classification, thereby reducing manual overhead when working with large datasets or complex document structures. AionUi also supports a remote WebUI mode, allowing users to access their local AI tools securely over a network from other devices while keeping all processing and data on their own hardware. -
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Apache Spark
A unified analytics engine for large-scale data processing
Apache Spark is a unified engine for large-scale data processing, offering APIs for batch jobs, streaming, machine learning, and graph computation. It builds on resilient distributed datasets (RDDs) and the newer DataFrame/Dataset abstractions to provide fault-tolerant, in-memory computation across clusters. Spark’s execution engine handles scheduling, shuffles, caching, and data locality so users can focus on transformations rather than infrastructure plumbing. With Spark Streaming... -
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Parsera
Lightweight library for scraping web-sites with LLMs
Scrape data from any website with only a link and column descriptions. Parsera is a tool designed to scrape web content, specifically handling poorly structured or messy websites. -
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tslog
Universal Logger for TypeScript and JavaScript
Powerful, fast, and expressive logging for TypeScript and JavaScript. Every incoming log message runs through a number of steps before being displayed or handed over to a "transport". Every step can be overwritten and adjusted. By default, tslog is optimized for the best developer experience and includes some default settings that may impact performance in production environments.
