Search Results for "data structures" - Page 2

Showing 456 open source projects for "data structures"

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  • 1
    Immutable.js

    Immutable.js

    Immutable collections for JavaScript

    Immutable.js offers a collection of Persistent Immutable data structures for JavaScript. Immutable data is unchangeable once created, which makes application development so much simpler. There’s no defensive copying, and you get advanced memoization and change detection techniques with simple logic. Persistent data gives you a mutative API, one that doesn’t update data in-place but always produces new and updated data. The data structures that Immutable.js provides include List, Stack, Map...
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  • 2
    jsondiff

    jsondiff

    Diff JSON and JSON-like structures in Python

    Diff JSON and JSON-like structures in Python.
    Downloads: 0 This Week
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  • 3
    lockfree

    lockfree

    A collection of lock-free data structures written in standard C++11

    lockfree is a collection of lock-free data structures written in standard C++11 and suitable for all platforms - from deeply embedded to HPC. Lock-free data structures are data structures that are thread and interrupt-safe for concurrent use without having to use mutual exclusion mechanisms. They are most useful for inter-process communication and often scale much better than lock-based structures with the number of operations and threads.
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  • 4
    Serde JSON

    Serde JSON

    Strongly typed JSON library for Rust

    Serde is a framework for serializing and deserializing Rust data structures efficiently and generically.
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  • 5
    JuliaConnectoR

    JuliaConnectoR

    A functionally oriented interface for calling Julia from R

    This R-package provides a functionally oriented interface between R and Julia. The goal is to call functions from Julia packages directly as R functions. Julia functions imported via the JuliaConnectoR can accept and return R variables. It is also possible to pass R functions as arguments in place of Julia functions, which allows callbacks from Julia to R. From a technical perspective, R data structures are serialized with an optimized custom streaming format, sent to a (local) Julia TCP server...
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  • 6
    OpenLoco

    OpenLoco

    An open source re-implementation of Chris Sawyer's Locomotion

    ... Tycoon 2 engine. However, the engine has changed substantially enough that OpenLoco currently does not share its codebase with OpenRCT2. The reimplementation efforts of OpenLoco are gradual, aiming to ultimately rewrite the entire game in C++. In the earlier years of the project, the in-game UI has been completely reimplemented, and most of the underlying data and object structures have been uncovered. Recent efforts have focussed on reimplementing the game (command) logic.
    Downloads: 3 This Week
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  • 7
    Apache Druid

    Apache Druid

    A high performance real-time analytics database

    ... outperform legacy solutions. Druid combines novel storage ideas, indexing structures, and both exact and approximate queries to return most results in under a second. Druid unlocks new types of queries and workflows for clickstream, APM, supply chain, network telemetry, digital marketing, risk/fraud, and many other types of data. Druid is purpose built for rapid, ad-hoc queries on both real-time and historical data.
    Downloads: 2 This Week
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  • 8
    Cline

    Cline

    Autonomous coding agent right in your IDE

    Cline is a command-line application building library for Node.js that helps developers easily create interactive CLI applications. Built on Node's readline module, it offers features like history support, auto-completion, and input masking. Cline allows you to define custom commands with argument placeholders, making it versatile for various command structures. Additionally, it supports modes, where different command sets can be dynamically loaded depending on the application's state.
    Downloads: 2 This Week
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  • 9
    DAW JSON Link v3

    DAW JSON Link v3

    Fast, convenient JSON serialization and parsing in C++

    Fast, convenient JSON serialization and parsing in C++. The DAW JSON Link library is a high-performance, no allocation, C++ JSON Library. Direct parsing of JSON to your own data structures via simple declarative mappings. Earlier error reporting of unexpected data and errors. Low memory requirement, parser requires a small amount of stack but does not allocate itself. Optimizations based on data types. Does not require owning the mapped types and is not intrusive.
    Downloads: 1 This Week
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  • 10
    NLPModels.jl

    NLPModels.jl

    Data Structures for Optimization Models

    This package provides general guidelines to represent non-linear programming (NLP) problems in Julia and a standardized API to evaluate the functions and their derivatives. The main objective is to be able to rely on that API when designing optimization solvers in Julia.
    Downloads: 0 This Week
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  • 11
    DataStructures.jl

    DataStructures.jl

    Julia implementation of Data structures

    Julia implementation of Data structures.
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  • 12
    MarketData.jl

    MarketData.jl

    Time series market data

    The MarketData package provides open-source financial data for research and testing. The data is from Quandl and is free end-of-day stock data. It is public domain without restrictions. The TimeSeries TimeArray data structure is used to store the data, but conversion to other data structures, including DataFrames and AxisArrays, is supported.
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  • 13
    Finch.jl

    Finch.jl

    Sparse tensors in Julia and more

    Finch is a cutting-edge Julia-to-Julia compiler specially designed for optimizing loop nests over sparse or structured multidimensional arrays. Finch empowers users to write conventional for loops which are transformed behind-the-scenes into fast sparse code.
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  • 14
    ClojureScript

    ClojureScript

    Compiler for Clojure that targets JavaScript

    ClojureScript is a compiler for Clojure that targets JavaScript. It is designed to emit JavaScript code which is compatible with the advanced compilation mode of the Google Closure optimizing compiler. Clojure is a dynamic, general-purpose programming language supporting interactive development. Clojure is a functional programming language featuring a rich set of immutable, persistent data structures. As a dialect of Lisp, it has a code-as-data philosophy and a powerful macro system. Clojure...
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  • 15
    towhee

    towhee

    Framework that is dedicated to making neural data processing

    Towhee is an open-source machine-learning pipeline that helps you encode your unstructured data into embeddings. You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to model...
    Downloads: 1 This Week
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  • 16
    PyVista

    PyVista

    3D plotting and mesh analysis through a streamlined interface

    3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK). PyVista is a helper module for the Visualization Toolkit (VTK) that takes a different approach on interfacing with VTK through NumPy and direct array access. This package provides a Pythonic, well-documented interface exposing VTK’s powerful visualization backend to facilitate rapid prototyping, analysis, and visual integration of spatially referenced datasets. This module can be used for...
    Downloads: 1 This Week
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  • 17
    IndexedTables.jl

    IndexedTables.jl

    Flexible tables with ordered indices

    IndexedTables provides tabular data structures where some of the columns form a sorted index. It provides the backend to JuliaDB, but can be used on its own for efficient in-memory data processing and analytics.
    Downloads: 0 This Week
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  • 18
    PowerSystems.jl

    PowerSystems.jl

    Data structures in Julia to enable power systems analysis

    The PowerSystems.jl package provides a rigorous data model using Julia structures to enable power systems analysis and modeling. In addition to stand-alone system analysis tools and data model building, the PowerSystems.jl package is used as the foundational data container for the PowerSimulations.jl and PowerSimulationsDynamics.jl packages. PowerSystems.jl supports a limited number of data file formats for parsing.
    Downloads: 0 This Week
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  • 19
    nette Schema

    nette Schema

    Validating data structures against a given Schema

    A practical library for validation and normalization of data structures against a given schema with a smart & easy-to-understand API. In variable $schema we have a validation schema (what exactly this means and how to create it we will say later) and in variable $data we have a data structure that we want to validate and normalize. This can be, for example, data sent by the user through an API, configuration file, etc.
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  • 20
    Shale

    Shale

    Shale is a Ruby object mapper and serializer for JSON, YAML, TOML

    Shale is a Ruby object mapper and serializer for JSON, YAML, TOML, CSV and XML. It allows you to parse JSON, YAML, TOML, CSV and XML data and convert it into Ruby data structures, as well as serialize data structures into JSON, YAML, TOML, CSV or XML.
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  • 21
    Vince's CSV Parser

    Vince's CSV Parser

    A modern C++ library for reading, writing, and analyzing CSV

    There's plenty of other CSV parsers in the wild, but I had a hard time finding what I wanted. Inspired by Python's csv module, I wanted a library with simple, intuitive syntax. Furthermore, I wanted support for special use cases such as calculating statistics on very large files. With the deluge of large datasets available, a performant CSV parser is a necessity. By using overlapped threads, memory-mapped IO, and efficient data structures, this parser can quickly tackle large CSV files...
    Downloads: 1 This Week
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  • 22
    pydna

    pydna

    Clone with Python! Data structures for double stranded DNA

    Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning. Planning genetic constructs with many parts and assembly steps, such as recombinant metabolic pathways, are often difficult to properly document as is evident from the poor state of documentation in the scientific literature. The pydna python package provide a human-readable formal description of cloning and genetic assembly strategies in Python which allow...
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  • 23
    JCTools

    JCTools

    Java Concurrency Tools for the JVM

    Java Concurrency Tools for the JVM. This project aims to offer some concurrent data structures currently missing from the JDK. There’s more to come and contributions/suggestions are most welcome. JCTools has enjoyed support from the community and contributions in the form of issues/tests/documentation/code have helped it grow. JCTools offers excellent performance at a reasonable price (FREE! under the Apache 2.0 License). It’s stable and in use by such distinguished frameworks as Netty, RxJava...
    Downloads: 1 This Week
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  • 24
    Functors.jl

    Functors.jl

    Parameterise all the things

    Functors.jl provides tools to express a powerful design pattern for dealing with large/ nested structures, as in machine learning and optimization. For large machine learning models, it can be cumbersome or inefficient to work with parameters as one big, flat vector, and structs help manage complexity; but it is also desirable to easily operate over all parameters at once, e.g. for changing precision or applying an optimizer update step.
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  • 25
    Smile

    Smile

    Statistical machine intelligence and learning engine

    Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM languages...
    Downloads: 1 This Week
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