Showing 4501 open source projects for "common"

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  • 1
    NonlinearSolve.jl

    NonlinearSolve.jl

    High-performance and differentiation-enabled nonlinear solvers

    Fast implementations of root-finding algorithms in Julia that satisfy the SciML common interface. For information on using the package, see the stable documentation. Use the in-development documentation for the version of the documentation that contains the unreleased features. NonlinearSolve.jl is a unified interface for the nonlinear solving packages of Julia. The package includes its own high-performance nonlinear solvers which include the ability to swap out to fast direct and iterative linear solvers, along with the ability to use sparse automatic differentiation for Jacobian construction and Jacobian-vector products. ...
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  • 2
    Reduce.jl

    Reduce.jl

    Symbolic parser for Julia language term rewriting using REDUCE algebra

    ...REDUCE supports alternative user interfaces including Run-REDUCE, TeXmacs and GNU Emacs. REDUCE (and its complete source code) is available free of charge for most common computing systems, in some cases in more than one version for the same machine. The manual and other support documents and tutorials are also included in the distributions.
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  • 3
    DataQualityDashboard

    DataQualityDashboard

    A tool to help improve data quality standards in data science

    The goal of the Data Quality Dashboard (DQD) project is to design and develop an open-source tool to expose and evaluate observational data quality. This package will run a series of data quality checks against an OMOP CDM instance (currently supports v5.4, v5.3 and v5.2). It systematically runs the checks, evaluates the checks against some pre-specified threshold, and then communicates what was done in a transparent and easily understandable way. The quality checks were organized according...
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  • 4
    Automated Tool for Optimized Modelling

    Automated Tool for Optimized Modelling

    Automated Tool for Optimized Modelling

    ...How many times have you conducted the same action to pre-process a raw dataset? How many times have you copy-and-pasted code from an old repository to re-use it in a new use case? ATOM is here to help solve these common issues. The package acts as a wrapper of the whole machine learning pipeline, helping the data scientist to rapidly find a good model for his problem.
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  • 5
    Koop

    Koop

    Transform, query, and download geospatial data on the web

    ...Its plugin architecture supports output in other formats including vector-tile, WMS, and plain old GeoJSON. Koop's plugin-architecture facilitates custom deployments specific to your needs. "Provider" plugins to connect to novel data formats and translate to a common format (GeoJSON), while "output" plugins then transform that GeoJSON to other specifications. See a list of plugins already authored and maintained here. If you have a novel data source or require an as-yet unsupported output format, new plugins can be easily developed and integrated.
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  • 6
    Summoner

    Summoner

    Tool for scaffolding batteries-included production-level Haskell

    Summoner is a tool for scaffolding fully configured batteries-included production-level Haskell projects. Do you want to create a library that is to be uploaded to Hackage/Stackage, that builds with both Cabal and Stack and supports the latest three major GHC versions? Or are you building a production application that uses a custom prelude and has CI with GitHub Actions or Travis Linux and AppVeyors Windows checks? Maybe do you want to play with your idea in a single module without...
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  • 7
    bearer

    bearer

    Code security scanning tool (SAST) to discover security risks

    ...Bearer is a static application security testing (SAST) tool that scans your source code and analyzes your data flows to discover, filter and prioritize security risks and vulnerabilities leading to sensitive data exposures (PII, PHI, PD). We provides built-in rules against a common set of security risks and vulnerabilities, known as OWASP Top 10. Leakage of sensitive data through cookies, internal loggers, third-party logging services, and into analytics environments. Usage of weak encryption libraries or misusage of encryption algorithms. Unencrypted incoming and outgoing communication (HTTP, FTP, SMTP) of sensitive information. ...
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  • 8
    Git Town

    Git Town

    Generic, high-level Git workflow support!

    ...As the screencast above demonstrates, typical development activities like creating, synchronizing, or shipping a feature branch require running multiple, sometimes dozens of Git commands. Git Town adds a high-level layer of Git commands for these activities. These commands are compatible with most common branching models like GitHub Flow, Git Flow, GitLab Flow, trunk-based development and even committing straight into the main branch. See also this external review.
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  • 9
    EthereumJS Monorepo

    EthereumJS Monorepo

    Monorepo for the Ethereum VM TypeScript Implementation

    ...There is a TypeScript implementation of the Ethereum Virtual Machine (EVM) ready to be used in Node.js or a browser environment, implementations of core structural blockchain building blocks like an Ethereum Tx, Block or Blockchain as well as a Trie (Merkle Patricia Tree) and devp2p (execution networking layer) implementation. All libraries are bound together by the core Common library keeping track of chain specifics and hardfork changes. They are complemented by helper packages like RLP for data encoding/decoding or Util, providing helper functionalities like (byte) conversion, signatures, types and others. Finally, the EthereumJS Execution Client (EthereumJS) has been in active development for some time now. ...
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  • 10
    CommandLineUtils

    CommandLineUtils

    Command line parsing and utilities for .NET

    ...There are two primary ways to use this API, using the builder pattern and attributes. The library also includes other utilities for interaction with the console. A common scenario for options is to allow specifying a value-less option multiple times without value. The library supports counting flags by using bool[] or by checking for the number of values in Values.
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  • 11
    dynaconf

    dynaconf

    Configuration Management for Python

    ...Optional layered system for multi environments [default, development, testing, production] (also called multi profiles). Built-in support for Hashicorp Vault and Redis as settings and secrets storage. Built-in extensions for Django and Flask web frameworks. CLI for common operations such as init, list, write, validate, export. On your own code you import and use settings object imported from your config.py file. Dynaconf prioritizes the use of environment variables and you can optionally store settings in Settings Files using any of toml|yaml|json|ini|py extension.
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  • 12
    Haiku

    Haiku

    JAX-based neural network library

    ...Haiku is a simple neural network library for JAX that enables users to use familiar object-oriented programming models while allowing full access to JAX’s pure function transformations. Haiku is designed to make the common things we do such as managing model parameters and other model state simpler and similar in spirit to the Sonnet library that has been widely used across DeepMind. It preserves Sonnet’s module-based programming model for state management while retaining access to JAX’s function transformations. Haiku can be expected to compose with other libraries and work well with the rest of JAX. ...
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  • 13
    PyG

    PyG

    Graph Neural Network Library for PyTorch

    ...In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. All it takes is 10-20 lines of code to get started with training a GNN model (see the next section for a quick tour).
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  • 14
    ImmortalDB

    ImmortalDB

    A relentless key-value store for the browser

    ...Data saved to ImmortalDB is redundantly stored in Cookies, IndexedDB, and LocalStorage, and relentlessly self heals if any data therein is deleted or corrupted. For example, clearing cookies is a common user action, even for non-technical users. And browsers unceremoniously delete IndexedDB, LocalStorage, and/or SessionStorage without warning under storage pressure. ImmortalDB is resilient in the face of such events. Doesn't vandalize performance or the user experience. For example, Evercookie's CSS History Knocking can beget a deluge of background HTTP requests, and loading Silverlight or Flash can raise unsought permission modals or thrash the user's disk. ...
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  • 15
    AWS Secrets Manager JDBC Library

    AWS Secrets Manager JDBC Library

    The AWS Secrets Manager JDBC Library for Java developers

    The AWS Secrets Manager JDBC Library enables Java developers to easily connect to SQL databases using secrets stored in AWS Secrets Manager. We provide database drivers that intercept calls to real database drivers and swap out secret IDs for actual login credentials. This prevents hard-coding database credentials into your application code. This can be integrated into your app through a few configuration file changes. Change the jdbc url to one that our driver will intercept (starting with...
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  • 16
    Scala Native

    Scala Native

    Your favorite language gets closer to bare metal

    ...With the help of extern objects you can seamlessly call native code without any runtime overhead. Scala Native is compiled ahead of time via LLVM. This means that there is no sluggish warm-up phase that’s common for just-in-time compilers. Your code is immediately fast and ready for action. Scala Native requires Clang, which is part of the LLVM toolchain. The recommended LLVM version is the most recent available for your system provided that it works with Scala Native. Scala Native uses the Immix garbage collector by default. You can use the Boehm garbage collector instead. ...
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  • 17
    grex

    grex

    A command-line tool and library for generating regular expressions

    grex is a library as well as a command-line utility that is meant to simplify the often complicated and tedious task of creating regular expressions. It does so by automatically generating a single regular expression from user-provided test cases. The resulting expression is guaranteed to match the test cases which it was generated from. This project has started as a Rust port of the JavaScript tool regexgen written by Devon Govett. Although a lot of further useful features could be added to...
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  • 18
    Porter

    Porter

    Kubernetes powered PaaS that runs in your own cloud

    ...A traditional PaaS like Heroku is great for minimizing unnecessary DevOps work but doesn't offer enough flexibility as your applications grow. Custom network rules, resource constraints, and cost are common reasons developers move their applications off Heroku beyond a certain scale. Porter brings the simplicity of a traditional PaaS to your own cloud provider while preserving the configurability of Kubernetes.
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  • 19
    Silk.NET

    Silk.NET

    About The high-speed OpenGL, OpenCL bindings library

    ...With an efficient bindings regeneration mechanism, we are committed to ensuring our bindings reflect the latest specifications with monthly updates generated straight from the upstream sources. In addition to providing high-speed, direct, and transparent bindings, we provide high-level utilities and wrappers to maximize productivity in common workloads such as platform-agnostic abstractions around Windowing and Input, bringing your apps to a vast number of platforms without changing a single line! Silk.NET caters for anything you could need in swift development of multimedia, graphics, compute applications. Silk.NET is an all-in-one solution, complete with Graphics, Compute, Audio, Input, and Windowing.
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  • 20
    Great Expectations

    Great Expectations

    Always know what to expect from your data

    ...Great Expectations brings the same confidence, integrity, and acceleration to data science and data engineering teams. Expectations are assertions for data. They are the workhorse abstraction in Great Expectations, covering all kinds of common data issues. Expectations are a great start, but it takes more to get to production-ready data validation. Where are Expectations stored? How do they get updated? How do you securely connect to production data systems? How do you notify team members and triage when data validation fails? Great Expectations supports all of these use cases out of the box. ...
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  • 21
    Riemann

    Riemann

    A network event stream processing system, in Clojure

    ...Combine statistics from every Riak node in your cluster and forward to Graphite. Track user activity from second to second. Riemann streams are just functions which accept an event. Events are just structs with some common fields like :host and :service You can use dozens of built-in streams for filtering, altering, and combining events, or write your own. Since Riemann's configuration is a Clojure program, its syntax is concise, regular, and extendable. Configuration-as-code minimizes boilerplate and gives you the flexibility to adapt to complex situations.
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  • 22
    Spring Cloud Netflix

    Spring Cloud Netflix

    Integration with Netflix OSS components

    This project provides Netflix OSS integrations for Spring Boot apps through autoconfiguration and binding to the Spring Environment and other Spring programming model idioms. With a few simple annotations you can quickly enable and configure the common patterns inside your application and build large distributed systems with battle-tested Netflix components. The patterns provided include Service Discovery (Eureka), Circuit Breaker (Hystrix), Intelligent Routing (Zuul) and Client Side Load Balancing (Ribbon). Service Discovery is one of the key tenets of a microservice-based architecture. ...
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  • 23
    Google Logging Library

    Google Logging Library

    C++ implementation of the Google logging module

    ...You can either build glog with CMake as a standalone project or it can be incorporated into an existing CMake build for another project. glog defines a series of macros that simplify many common logging tasks. You can log messages by severity level, control logging behavior from the command line, log based on conditionals, abort the program when expected conditions are not met, etc.
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  • 24
    fp-ts

    fp-ts

    Functional programming in TypeScript

    ...Data types are the practical part of fp-ts: you can instantiate them with your data to gain properties and functionality that are useful for solving a specific need. Because data types all share common interfaces (through type classes), once you learn how to use one data type, you can apply the same concepts to the others.
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  • 25
    react-window

    react-window

    React components for rendering large lists and tabular data

    React window works by only rendering part of a large data set (just enough to fill the viewport). This helps address some common performance bottlenecks. It reduces the amount of work (and time) required to render the initial view and to process updates. It reduces the memory footprint by avoiding over-allocation of DOM nodes. react-window is a complete rewrite of react-virtualized. If react-window provides the functionality your project needs, it is strongly recommend that you use it instead of react-virtualized. ...
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