Search Results for "common"
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Showing 489 open source projects for "common"
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Common Core Ontologies
The Common Core Ontology Repository
The Common Core Ontologies (CCO) comprise twelve ontologies that are designed to represent and integrate taxonomies of generic classes and relations across all domains of interest. CCO is a mid-level extension of Basic Formal Ontology (BFO), an upper-level ontology framework widely used to structure and integrate ontologies in the biomedical domain (Arp, et al., 2015). -
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Windows Calculator
A simple yet powerful calculator that ships with Windows
...Scientific Calculator functionality, which offers expanded operations and evaluates commands using the order of operations. Programmer Calculator functionality, which offers common mathematical operations for developers, including conversion between common bases. -
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SciMLBase.jl
The Base interface of the SciML ecosystem
SciMLBase.jl is the core interface definition of the SciML ecosystem. It is a low-dependency library made to be depended on by the downstream libraries to supply the common interface and allow for the interexchange of mathematical problems. The SciML common interface ties together the numerical solvers of the Julia package ecosystem into a single unified interface. It is designed for maximal efficiency and parallelism, while incorporating essential features for large-scale scientific machine learning such as differentiability, composability, and sparsity. -
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Astropy
Repository for the Astropy core package
The Astropy Project is a community effort to develop a common core package for Astronomy in Python and foster an ecosystem of interoperable astronomy packages. Astropy is a Python library for use in astronomy. Learn Astropy provides a portal to all of the Astropy educational material through a single dynamically searchable web page. It allows you to filter tutorials by keywords, search for filters, and make search queries in tutorials and documentation simultaneously. -
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ImplicitDifferentiation.jl
Automatic differentiation of implicit functions
ImplicitDifferentiation.jl is a package for automatic differentiation of functions defined implicitly, i.e., forward mappings. Those for which automatic differentiation fails. Reasons can vary depending on your backend, but the most common include calls to external solvers, mutating operations or type restrictions. Those for which automatic differentiation is very slow. A common example is iterative procedures like fixed point equations or optimization algorithms. -
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EtherCalc
Open source web spreadsheet
EtherCalc is an open source, web-based spreadsheet that allows multiple users to collaborate and work remotely and in real time. Users can edit the same spreadsheet at the same time, with changes instantly reflected on screen. It accepts various mathematical formulae and other functions, and supports several default text formatting directives as well. It can be used for just about anything you’d need a desktop spreadsheet for-- accounting, inventory, scheduling, list management and so much... -
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PhysicalConstants.jl
Collection of fundamental physical constants with uncertainties
PhysicalConstants.jl provides common physical constants. They are defined as instances of the new Constant type, which is a subtype of AbstractQuantity (from Unitful.jl package) and can also be turned into Measurement objects (from Measurements.jl package) at request. Constants are grouped into different submodules so that the user can choose different datasets as needed. -
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Universal Commerce Protocol (UCP)
The common language for platforms, agents and businesses.
Universal Commerce Protocol (UCP) is an open standard designed to unify how platforms, businesses, and payment providers interact across the modern commerce ecosystem. It provides a common language that eliminates fragmented, custom integrations and enables seamless interoperability between diverse commerce systems. Built for an increasingly agentic web, UCP supports AI-driven platforms that can discover products, manage carts, and complete transactions securely on a user’s behalf. Its modular, capability-based architecture allows businesses to expose only what they support while remaining flexible and extensible. ... -
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Acl
A powerful server and network library, including coroutine
...Many applications written by Acl run on these devices with Linux, Windows, iPhone and Android and serve billions of users. There are some important modules in Acl project, including network communcation, server framework, application protocols, multiple coders, etc. The common protocols such as HTTP/SMTP/ICMP//MQTT/Redis/Memcached/Beanstalk/Handler Socket are implemented in Acl, and the codec library such as XML/JSON/MIME/BASE64/UUCODE/QPCODE/RFC2047/RFC1035, etc., are also included in Acl. Acl also provides a unified abstract interface for popular databases such as Mysql, Postgresql, Sqlite. Using Acl library users can write database applications more easily, quickly and safely. -
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ChainRulesCore
AD-backend agnostic system defining custom forward and reverse rules
...The ChainRulesCore package provides a light-weight dependency for defining sensitivities for functions in your packages, without you needing to depend on ChainRules itself. This will allow your package to be used with ChainRules.jl, which aims to provide a variety of common utilities that can be used by downstream automatic differentiation (AD) tools to define and execute forward-, reverse-, and mixed-mode primitives. -
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ChainRules.jl
Forward and reverse mode automatic differentiation primitives
The ChainRules package provides a variety of common utilities that can be used by downstream automatic differentiation (AD) tools to define and execute forward-, reverse--, and mixed-mode primitives. The core logic of ChainRules is implemented in ChainRulesCore.jl. To add ChainRules support to your package, by defining new rules or frules, you only need to depend on the very light-weight package ChainRulesCore.jl. -
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DSP.jl
Filter design, periodograms, window functions
DSP.jl provides a number of common digital signal processing routines in Julia. -
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BigQuery Utils
Useful scripts, udfs, views, and other utilities for migration
BigQuery Utils is a large utility repository focused on helping users operate, optimize, and migrate workloads in BigQuery through reusable assets rather than a single application. It brings together scripts, user-defined functions, views, stored procedures, dashboards, notebooks, and supporting tools that address common data warehouse and analytics tasks. The repository is especially useful for organizations that need practical building blocks for migration from other database systems, since it includes compatibility-oriented utilities and migration-focused UDFs that mimic behavior from platforms such as Oracle, Redshift, and Netezza. It also supports day-to-day operational work by offering optimization scripts, billing queries, performance testing examples, and dashboards built on INFORMATION_SCHEMA metadata so teams can better understand slot usage, reservations, job execution, and errors. -
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MolecularGraph.jl
Graph-based molecule modeling toolkit for cheminformatics
MolecularGraph.jl is a graph-based molecule modeling and chemoinformatics analysis toolkit fully implemented in Julia. -
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GraphNeuralNetworks.jl
Graph Neural Networks in Julia
GraphNeuralNetworks.jl is a graph neural network library written in Julia and based on the deep learning framework Flux.jl. -
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Huly
All-in-One Project Management Platform
...Huly is a process, project, time, and knowledge management platform that provides amazing collaboration opportunities for developers and product teams alike. Work efficiently with instant access to common actions. Keep track of the bigger picture by viewing all individual tasks in one centralized team calendar. Transform daily tasks into structured time blocks for focused productivity. Keep up to date with any changes by receiving instant notifications. Create customized virtual office spaces for any department or event with high-quality audio and video conferencing. -
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Recommenders
Best practices on recommendation systems
The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several state-of-the-art algorithms are included for self-study and customization in your own applications. ... -
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Jspreadsheet CE
Javascript plugin to create web-based tables & spreadsheets
...It is very easy to integrate any third party JavaScript plugins to create your own custom columns, custom editors, and customize any feature into your application. Jspreadsheet CE has plenty of different input options through its native column types to cover the most common web-based application requirements. It is a complete solution for web data management. Create amazing applications with Jspreadsheet CE JavaScript spreadsheet. -
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React DayPicker
Date picker component for React
...Specify which days should be selected in your component’s state. Use your own translation strings or import those from moment.js, if you use it. react-day-picker is designed to cover the most common needs for a date picker in web applications. This package includes the DayPicker component to render the calendar (see: basic concepts, API), and the DayPickerInput component to render an input field opening the DayPicker in an overlay. -
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ydata-profiling
Create HTML profiling reports from pandas DataFrame objects
ydata-profiling primary goal is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. Like pandas df.describe() function, that is so handy, ydata-profiling delivers an extended analysis of a DataFrame while allowing the data analysis to be exported in different formats such as html and json. -
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folium
Python data, Leaflet.js maps
folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the leaflet.js library. Manipulate your data in Python, then visualize it in on a Leaflet map via folium. folium makes it easy to visualize data that’s been manipulated in Python on an interactive leaflet map. It enables both the binding of data to a map for choropleth visualizations as well as passing rich vector/raster/HTML visualizations as markers on the map. The library has a number of... -
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borb
borb is a library for reading, creating and manipulating PDF files
...It represents a PDF document as a JSON-like data structure of nested lists, dictionaries and primitives (numbers, string, booleans, etc) This is currently a one-man project, so the focus will always be to support those use-cases that are more common in favor of those that are rare. -
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Tidier.jl
Meta-package for data analysis in Julia, modeled after the R tidyverse
Tidier.jl is a Julia package that brings tidyverse-style data manipulation and analysis to Julia, inspired by R's dplyr and tidyverse. It allows users to write expressive and concise data transformation code using chaining (|>) and intuitive syntax. Built on top of DataFrames.jl, Tidier.jl aims to make data wrangling more accessible to users familiar with R or looking for cleaner data pipelines in Julia. -
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Conduit
Conduit streams data between data stores. Kafka Connect replacement
Conduit is a data streaming tool written in Go. It aims to provide the best user experience for building and running real-time data pipelines. Conduit comes with batteries included, it provides a UI, common connectors, processors and observability data out of the box. Sync data between your production systems using an extensible, event-first experience with minimal dependencies that fit within your existing workflow. Eliminate the multi-step process you go through today. Just download the binary and start building. Conduit connectors give you the ability to pull and push data to any production datastore you need. ... -
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Project Hestia
A grid-based, modular dashboard built entirely from HTML, CSS, and JS
Project Hestia is a powerful open-source backend framework and runtime that aims to simplify the development of scalable, distributed applications by providing a modular set of core services such as user authentication, permission enforcement, event streaming, and service orchestration. Built with modern application needs in mind, Hestia-Core abstracts common infrastructure concerns so developers can focus on business logic rather than boilerplate integration of third-party services. It supports microservices communication patterns, event-driven data flows, and pluggable components that make it adaptable to various workloads — from internal APIs to high-traffic public endpoints. The platform also includes abstractions for database connectivity, configuration management, and service discovery, making it easier to build fault-tolerant and observable systems.
