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Showing 335 open source projects for "construct"
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SeaQuery
A dynamic SQL query builder for MySQL, Postgres and SQLite
SeaQuery is a query builder to help you construct dynamic SQL queries in Rust. You can construct expressions, queries and schema as abstract syntax trees using an ergonomic API. We support MySQL, Postgres and SQLite behind a common interface that aligns their behavior where appropriate. -
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MiroFish
A Simple and Universal Swarm Intelligence Engine
MiroFish is a next-generation artificial intelligence prediction engine that leverages multi-agent technology and swarm-intelligence simulation to model, simulate, and forecast complex real-world scenarios. The system extracts “seed” information from sources such as breaking news, policy documents, and market signals to construct a high-fidelity digital parallel world populated by thousands of virtual agents with independent memory and behavior rules. Users can inject variables or conditions into this simulated environment from a “god’s eye view,” enabling iterative prediction of future trends under different assumptions, which can be useful for decision support, scenario planning, or creative exploration. ... -
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doobie
Functional JDBC layer for Scala
doobie is a pure functional JDBC layer for Scala and Cats. It is not an ORM, nor is it a relational algebra; it simply provides a functional way to construct programs (and higher-level libraries) that use JDBC. For common use cases doobie provides a minimal but expressive high-level API. doobie is a Typelevel project. This means we embrace pure, typeful, functional programming, and provide a safe and friendly environment for teaching, learning, and contributing as described in the Scala Code of Conduct. ... -
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CasADi
CasADi is a symbolic framework for numeric optimization
...It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT, etc. It can be used in C++, Python, or Matlab/Octave. CasADi's backbone is a symbolic framework implementing forward and reverse modes of AD on expression graphs to construct gradients, large-and-sparse Jacobians, and Hessians. These expression graphs, encapsulated in Function objects, can be evaluated in a virtual machine or exported to stand-alone C code. Initial value problems in ordinary or differential-algebraic equations (ODE/DAE) can be calculated using explicit or implicit Runge-Kutta methods or interfaces to IDAS/CVODES from the SUNDIALS suite. ... -
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Delaunator
Fast JavaScript library for Delaunay triangulation of 2D points
Delaunator is a fast library for Delaunay triangulation. It takes as input a set of points. The triangulation is represented as compact arrays of integers. It’s less convenient than other representations but is the reason the library is fast. After constructing a delaunay = Delaunator.from(points) object, it will have a triangles array and a halfedges array, both indexed by half-edge id. What’s a half-edge? A triangle edge may be shared with another triangle. Instead of thinking about each... -
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Taro
Cross-end cross-frame solution that supports the use of frameworks
Open cross-end cross-framework solution, easily construct applications that can run on small programs/Web/APP. An open cross-end cross-framework solution that supports the use of frameworks such as React/Vue/Nerv to develop applications such as WeChin/Jingdong/Baidu/Payer/QQ Minor/H5/React Native. Nowadays, there are many forms at the upper end of the market. Web, React Native, micro-credit programs and other end-to-end programs are popular. -
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Bloom filters
Go package implementing Bloom filters
...A Bloom filter can use much less storage than the original set, but it allows for some 'false positives': it may sometimes report that an element is in the set whereas it is not. When you construct, you need to know how many elements you have (the desired capacity), and what is the desired false positive rate you are willing to tolerate. A common false-positive rate is 1%. The lower the false-positive rate, the more memory you are going to require. Similarly, the higher the capacity, the more memory you will use. You may construct the Bloom filter capable of receiving 1 million elements with a false-positive rate of 1%. -
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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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Relay Library for GraphQL.js
A library to help construct a graphql-js server supporting react-relay
A library to help construct a graphql-js server supporting react-relay. This is a library to allow the easy creation of Relay-compliant servers using the GraphQL.js reference implementation of a GraphQL server. A basic understanding of GraphQL and of the GraphQL.js implementation is needed to provide context for this library. This library is designed to work with the GraphQL.js reference implementation of a GraphQL server. -
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Litmus
Litmus helps SREs and developers practice chaos engineering
...The platform itself runs as a set of microservices and uses Kubernetes custom resources to define the chaos intent, as well as the steady-state hypothesis. A centralized chaos management tool called chaos-center helps construct, schedule, and visualize Litmus chaos workflows. Made up of a chaos agent and multiple operators that execute & monitor the experiment within a defined target Kubernetes environment. -
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The Powder Toy
Sandbox video game with a powerful physics engine
...The Powder Toy is a free physics sandbox game, which simulates air pressure and velocity, heat, gravity and a countless number of interactions between different substances! The game provides you with various building materials, liquids, gases and electronic components which can be used to construct complex machines, guns, bombs, realistic terrains and almost anything else. You can then mine them and watch cool explosions, add intricate wirings, play with little stickmen or operate your machine. You can browse and play thousands of different saves made by the community or upload your own -
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Pyparsing
Python library for creating PEG parsers
pyparsing is a Python library that facilitates the creation of parsers using a parsing expression grammar (PEG) approach. It allows developers to construct grammars directly in Python code, offering an alternative to traditional parsing methods. -
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AbstractGPs.jl
Abstract types and methods for Gaussian Processes
AbstractGPs.jl is a package that defines a low-level API for working with Gaussian processes (GPs), and basic functionality for working with them in the simplest cases. As such it is aimed more at developers and researchers who are interested in using it as a building block than end-users of GPs. You may want to go through the main API design documentation. -
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Bob
SQL query builder and ORM/Factory generator for Go
Bob is a SQL query builder for Go that emphasizes composability, type safety, and maintainability. It allows developers to construct dynamic queries in a programmatic and reusable way, supporting both simple and complex SQL logic. Bob helps avoid raw string concatenation, making Go-based database interactions more robust and testable. -
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HTTP.jl
HTTP for Julia
HTTP.jl is a pure Julia implementation of the HTTP protocol, providing tools for building HTTP clients and servers. It enables users to send requests, handle responses, and construct REST APIs or web services entirely in Julia. HTTP.jl supports TLS, cookies, headers, streaming, and middleware, making it suitable for both simple scripting and full-scale web service development. -
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Pidgin
A lightweight and fast parsing library for C#
Pidgin is a lightweight and fast parser combinator library for C#. It allows developers to construct parsers using a declarative approach, facilitating the creation of complex parsers without external tools. -
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PolyChaos.jl
Julia package to construct orthogonal polynomials
PolyChaos is a collection of numerical routines for orthogonal polynomials written in the Julia programming language. Starting from some non-negative weight (aka an absolutely continuous nonnegative measure). -
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UMAP.jl
Uniform Manifold Approximation and Projection (UMAP) implementation
A pure Julia implementation of the Uniform Manifold Approximation and Projection dimension reduction algorithm. The umap function takes two arguments, X (a column-major matrix of shape (n_features, n_samples)), n_components (the number of dimensions in the output embedding), and various keyword arguments. -
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SqlKata QueryBuilder
SQL query builder, written in c#, helps you build complex queries
SqlKata is a powerful and elegant SQL query builder for .NET that provides a fluent, expressive syntax to construct complex SQL queries programmatically. It supports multiple database engines and can compile queries to raw SQL with parameters, making it easy to integrate with Dapper or ADO.NET. SqlKata emphasizes flexibility and readability, enabling developers to write maintainable and reusable query logic. -
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Dagger.jl
A framework for out-of-core and parallel execution
Dagger.jl is a framework for out-of-core and parallel computing in Julia that allows users to construct and execute dynamic task graphs. It is designed for large-scale, distributed, and memory-efficient computations. Dagger supports lazy evaluation and scheduling across multiple threads or machines, enabling high-performance workflows for data processing, scientific computing, and machine learning. -
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DynamicQuantities.jl
Lightweight + fast physical quantities in Julia
DynamicQuantities defines a simple statically-typed Quantity type for Julia. Physical dimensions are stored as a value, as opposed to a parametric type, as in Unitful.jl. This can greatly improve both runtime performance, by avoiding type instabilities, and startup time, as it avoids overspecializing methods. -
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MDX
Markdown for the component era
MDX lets you use JSX in your markdown content. You can import components, such as interactive charts or alerts, and embed them within your content. This makes writing long-form content with components a blast. -
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Laravel Data
Powerful data objects for Laravel
This package enables the creation of rich data objects which can be used in various ways. Using this package you only need to describe your data once. -
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LazySets.jl
Scalable Symbolic-Numeric Set Computations
...Typically, one is confronted with a set-based recurrence with a given initial set and/or input sets, and for visualization purposes, the final result has to be obtained through an adequate projection onto low dimensions. This library implements types to construct set formulas and methods to efficiently and accurately approximate the projection in low dimensions. -
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ComponentArrays.jl
Arrays with arbitrarily nested named components
The main export of this package is the ComponentArray type. "Components" of ComponentArrays are really just array blocks that can be accessed through a named index. This will create a new ComponentArray whose data is a view into the original, allowing for standalone models to be composed together by simple function composition. In essence, ComponentArrays allow you to do the things you would usually need a modeling language for, but without actually needing a modeling language. The main...