Search Results for "statistics"
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Showing 49 open source projects for "statistics"
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1
Stats Golang Statistics Package
A well tested and comprehensive Golang statistics library package
A well tested and comprehensive Golang statistics library / package / module with no dependencies. -
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Gonum
Set of numeric libraries for the Go programming language
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more. Gonum is a set of packages designed to make writing numerical and scientific algorithms productive, performant, and scalable. Gonum contains libraries for matrices and linear algebra; statistics, probability distributions, and sampling; tools for function differentiation, integration, and optimization; network creation and analysis; and more. ... -
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mall-admin-web
frontend component of the “mall” e-commerce system
mall-admin-web is the frontend component of the “mall” e-commerce system, implemented in Vue (plus Element UI) to deliver the backend management interface: product management, order management, member management, promotions, operations, content, statistics and settings. It demonstrates how a modern single-page application can be structured to integrate with the backend services described in the learning / microservice projects, including authentication (JWT or token), REST APIs, role/permission management and real-time dashboards. The codebase offers modular UI architecture, Vue component patterns, dynamic menu and permission handling, and visualization of statistics and reports. ... -
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SymPy
A computer algebra system written in pure Python
SymPy is an open source Python library for symbolic mathematics. Its goal is to become a full-featured computer algebra system (CAS) while maintaining the simplicity of its code. Written entirely in Python, SymPy is easy to use, comprehensible and easily extensible. It’s also very lightweight as it solely depends on mpmath, a pure Python library for arbitrary floating point arithmetic. SymPy has participated in every Google Summer of Code since 2007 and because of this has continuously... -
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SciPy
SciPy library main repository
This is the main repository for the SciPy library, one of the core packages that make up the SciPy stack. SciPy is an open source software used in the fields of mathematics, science, and engineering, with modules for statistics, optimization, integration, linear algebra, signal and image processing, and many more. The SciPy library contains many of the user-friendly and efficient numerical routines, including those for numerical integration, interpolation, and optimization. SciPy is built to work with NumPy, a software that provides convenient and fast N-dimensional array manipulation. ... -
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MathPHP
Powerful modern math library for PHP
Math PHP is a library that brings advanced mathematical functions and data analysis capabilities to PHP applications. It covers a wide range of topics, including linear algebra, calculus, statistics, probability, and numerical analysis. Math PHP is designed for developers and data scientists who require precise and efficient mathematical computations in PHP, making it suitable for scientific computing and data processing. -
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Metaflow
A framework for real-life data science
Metaflow is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. Metaflow was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning. -
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Manifolds.jl
Manifolds.jl provides a library of manifolds
Package Manifolds.jl aims to provide both a unified interface to define and use manifolds as well as a library of manifolds to use for your projects. This package is mostly stable, see #438 for planned upcoming changes. The implemented manifolds are accompanied by their mathematical formulae. The manifolds are implemented using the interface for manifolds given in ManifoldsBase.jl. You can use that interface to implement your own software on manifolds, such that all manifolds based on that... -
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Peroxide
Rust numeric library with high performance and friendly syntax
Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python-like macros. Peroxide uses a 1D data structure to represent matrices, making it straightforward to integrate with BLAS (Basic Linear Algebra Subprograms). This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS. -
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10
Tenacity Python
Retrying library for Python
Tenacity is a Python library that enables automatic retrying of functions with customizable strategies. It replaces the now-deprecated retrying library and supports exponential backoff, fixed delays, stop and wait conditions, and exception filtering. Useful for network operations, API calls, or any unstable process, Tenacity helps increase reliability in Python applications by handling transient failures gracefully and robustly. -
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Cachex
A powerful caching library for Elixir with support for transactions
Cachex is a high-performance in-memory caching library for Elixir, offering a robust feature set including expirations, size limits, hooks, fallbacks, async operations, and clustering capabilities. The version 4.x release brought optimized janitor routines, modular streaming and querying, runtime cache warming, size pruning (LRW/LRU), distributed routing mechanisms, and a major documentation overhaul. It integrates seamlessly with Elixir applications via mix dependencies, supports advanced... -
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SeriesGuide
Track your favorite TV shows and movies on Android devices
...Hit the share button to post a link to an awesome episode or movie to any Android app, including WhatsApp, Signal, Facebook and Twitter. Visual indicators make it easy to see remaining episodes and to spot unseen episodes. The statistics tool sums how many hours you have spent watching (and still have to). -
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ClashN
A clash client for Windows, support Mihomo
clashN is a Windows desktop client for the Clash networking engine, providing a graphical interface to manage proxies, rules, and profiles. It wraps the Clash core in a familiar, configurable UI so users can import subscriptions, switch nodes, and observe connections without editing YAML by hand. The app emphasizes rule-based routing, letting you combine rule providers and policy groups to steer traffic by domain, process, or destination category. System-wide proxy control, including PAC and... -
14
libvips
A fast image processing library with low memory needs
...Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL 2.1+. It has around 300 operations covering arithmetic, histograms, convolution, morphological operations, frequency filtering, colour, resampling, statistics and others. It supports a large range of numeric types, from 8-bit int to 128-bit complex. Images can have any number of bands. It supports a good range of image formats, including JPEG, JPEG2000, JPEG-XL, TIFF, PNG, WebP, HEIC, AVIF, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM / PGM / PFM, CSV, GIF, Analyze, NIfTI, DeepZoom, and OpenSlide. ... -
15
Java Tablesaw
Java dataframe and visualization library
Tablesaw is a dataframe and visualization library that supports loading, cleaning, transforming, filtering, and summarizing data. If you work with data in Java, it may save you time and effort. Tablesaw also supports descriptive statistics and can be used to prepare data for working with machine learning libraries like Smile, Tribuo, H20.ai, DL4J. Import data from RDBMS, Excel, CSV, TSV, JSON, HTML, or Fixed Width text files, whether they are local or remote (http, S3, etc.) Tablesaw supports data visualization by providing a wrapper for the Plot.ly JavaScript plotting library. ... -
16
Deequ
Deequ is a library built on top of Apache Spark
...It can scale to large datasets (billions of rows) by translating those data checks into Spark jobs. Deequ supports advanced features like a metrics repository for storing computed statistics over time, anomaly detection of data quality metrics, and the suggestion of likely constraints automatically for new datasets. It also includes a little domain-specific language called DQDL (Data Quality Definition Language) which allows declarative specification of quality rules. Users typically run Deequ before feeding data downstream (to ML pipelines, analytics, or production systems), enabling early detection and isolation of data errors. ... -
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Caffeine
A high performance caching library for Java
Caffeine is a high performance Java caching library providing a near optimal hit rate. A Cache is similar to ConcurrentMap, but not quite the same. The most fundamental difference is that a ConcurrentMap persists all elements that are added to it until they are explicitly removed. A Cache on the other hand is generally configured to evict entries automatically, in order to constrain its memory footprint. In some cases a LoadingCache or AsyncLoadingCache can be useful even if it doesn't evict... -
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Octave Forge
A collection of packages providing extra functionality for GNU Octave
Octave Forge is a central location for collaborative development of packages for GNU Octave. The Octave Forge packages expand Octave's core functionality by providing field specific features via Octave's package system. See https://octave.sourceforge.io/packages.php for a list of all available packages. GNU Octave is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and... -
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LMath library
Math library for Free Pascal and Lazarus.
...LMath provides routines and demo programs for numerical analysis, including mathematical functions, probabilities, matrices, optimization, linear and nonlinear equations, integration, Fast Fourier Transform, random numbers, curve fitting, statistics and graphics. It is organized s set of lazarus packages which makes it easily extensible and helps to include only really needed features in your project. -
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.NET Bindings
.NET runtime bindings for WFMATH
This project is a subproject of the WFMATH library, a library providing several complex mathematical primitives. This library will allow .NET programmers to use WFMATH in their code. -
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Bootstrap.jl
Statistical bootstrapping library for Julia
Bootstrapping is a widely applicable technique for statistical estimation. -
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krangl
krangl is a {K}otlin DSL for data w{rangl}ing
krangl is a {K}otlin library for data w{rangl}ing. Implementing a grammar of data manipulation using a modern functional-style API, allows filtering, transforming, aggregating, and reshaping tabular data. krangl is heavily inspired by the amazing dplyr for R. krangl is written in Kotlin, excels in Kotlin, but emphasizes as well on good java-interop. It is mimicking the API of dplyr, while carefully adding more typed constructs where possible. -
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WFMATH Java Bindings
Java language bindings for WFMATH
This project is a subproject of the WFMATH library, a library providing several complex mathematical primitives. This library will allow Java programmers to use WFMATH in their code. -
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Wheefun Math Library
A C/C++ library for performing mathematics.
The Wheefun Math Library (WFMATH) is a library that contains extended mathematical functionality not included in C89 and C++98. It aims to portably provide this functionality for projects which may require them. It uses an object-oriented framework, utilizing a SDL-style dispatch tables in C and special wrapper classes in C++. It is also designed so that new bindings to other languages can be written with effort. -
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Pythonidae
Curated decibans of scientific programming resources in Python
Pythonidae is a curated collection of scientific programming resources in Python, designed to support research and development across a wide range of disciplines. The repository organizes tools and libraries into domain-specific categories, including mathematics, statistics, machine learning, artificial intelligence, biology, chemistry, physics, earth sciences, and supercomputing. It also covers practical areas such as build automation, databases, APIs, computer graphics, and utilities, offering a structured reference for both academic and applied work. While the primary focus is on Python, some entries also highlight resources implemented in other languages like Julia, R, Go, and Java. ...
