Search Results for "define" - Page 13
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Showing 1490 open source projects for "define"
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Flags SDK
Flags SDK by Vercel
...The SDK supports AB testing, controlled rollouts, and experimentation, helping developers ship features faster and more efficiently. It features a simple, declarative API to define and use flags, making integration effortless. With Flags SDK, developers can release new features strategically, test them in production without breaking apps, and experiment with confidence. The toolkit ensures the website remains fast while following best practices for feature flag usage. -
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Kener
Kener is a Modern Self hosted Status Page, batteries included
Kener: Open-source Node.js status page tool, designed to make service monitoring and incident handling a breeze. It offers a sleek and user-friendly interface that simplifies tracking service outages and improves how we communicate during incidents. And the best part? Kener integrates seamlessly with GitHub, making incident management a team effort—making it easier for us to track and fix issues together in a collaborative and friendly environment. -
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rallyup
rallyup is a lightweight Wake-On-LAN (WOL) scheduler
rallyup is a lightweight Wake-On-LAN (WOL) scheduler and dependency manager designed for small businesses and home labs. It ensures that infrastructure services like firewalls, storage, and hypervisors are brought online in the correct order, particularly after events like power outages. A typical setup involves configuring most of the infrastructure for WOL but not for Wake-On-Power, and setting rallyup to run on startup on a low-power device like a Raspberry Pi. When you need to bring the... -
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Fairlearn
A Python package to assess and improve fairness of ML models
...Besides the source code, this repository also contains Jupyter notebooks with examples of Fairlearn usage. An AI system can behave unfairly for a variety of reasons. In Fairlearn, we define whether an AI system is behaving unfairly in terms of its impact on people – i.e., in terms of harm. Fairness of AI systems is about more than simply running lines of code. In each use case, both societal and technical aspects shape who might be harmed by AI systems and how. There are many complex sources of unfairness and a variety of societal and technical processes for mitigation, not just the mitigation algorithms in our library. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Sacred
Sacred is a tool to help you configure, andorganize IDSIA experiments
...It is designed to do all the tedious overhead work that you need to do around your actual experiment. A very convenient way of the local variables in a function to define the parameters your experiment uses. You can access all parameters of your configuration from every function. They are automatically injected by name. You get a powerful command-line interface for each experiment that you can use to change parameters and run different variants. Observers that log all kinds of information about your experiment, its dependencies, the configuration you used, the machine it is run on, and of course the result. ... -
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Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
...It's a 100% pure Julia stack and provides lightweight abstractions on top of Julia's native GPU and AD support. Flux makes the easy things easy while remaining fully hackable. Flux provides a single, intuitive way to define models, just like mathematical notation. Julia transparently compiles your code, optimizing and fusing kernels for the GPU, for the best performance. Existing Julia libraries are differentiable and can be incorporated directly into Flux models. Cutting-edge models such as Neural ODEs are first class, and Zygote enables overhead-free gradients. ... -
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Laravel CSP
Set content security policy headers in a Laravel app
By default, all scripts on a webpage are allowed to send and fetch data to any site they want. This can be a security problem. Imagine one of your JavaScript dependencies sends all keystrokes, including passwords, to a third party website. It's very easy for someone to hide this malicious behaviour, making it nearly impossible for you to detect it (unless you manually read all the JavaScript code on your site). For a better idea of why you really need to set content security policy headers,... -
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Logging operator
Logging operator for Kubernetes
...You can filter and process the incoming log messages using the flow custom resource of the log forwarder to route them to the appropriate output. The outputs are the destinations where you want to send your log messages, for example, Elasticsearch, or an Amazon S3 bucket. You can also define cluster-wide outputs and flows, for example, to use a centralized output that namespaced users can reference but cannot modify. -
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Cerbos
Cerbos is the open core, language-agnostic authorization solution
Cerbos is an authorization layer that evolves with your product. It enables you to define powerful, context-aware access control rules for your application resources in simple, intuitive YAML policies; managed and deployed via your Git-ops infrastructure. It provides highly available APIs to make simple requests to evaluate policies and make dynamic access decisions for your application. Decouple authorization management from your core code using the stateless Cerbos solution. ... -
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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. This repository contains ChainRules.jl, which is what people actually use directly. ... -
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Cucumber JVM
Cucumber for the JVM
...And with our world-class training, take it to places it’s never been. Validate executable specifications against your code on any modern development stack. 40+ million open source downloads, the #1 tool for BDD. Define the feature files with all your stakeholders using Behavior-Driven Development (BDD). Automatically create documentation that’s up to date and easily shareable. -
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PowerJob
Enterprise job scheduling middleware with distributed computing
...Front-end page is provided and developers can manage their task, monitor the status, check the logs online, etc. Four timing strategies are supported, including CRON expression, fixed rate, fixed delay and OpenAPI which allows you to define your own scheduling policies, such as delaying execution. Four execution modes are supported, including stand-alone, broadcast, Map and MapReduce. Distributed computing resources could be utilized in MapReduce mode, try the magic out here! Both job dependency management and data communications between jobs are supported. Developers can write their processors in Java, Shell, Python, and will subsequently support multilingual scheduling via HTTP. -
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Cyber
Semantic non-deterministic Superintelligence consensus computer
...There are however at least 3 problems associated with the above-mentioned implementations. (1) the subjective nature of relevance, (2) difficulty in scaling consensus computers for over-sized knowledge graphs, (3) the lack of quality amongst such knowledge graphs. They are prone to various surface attacks, such as sybil attacks, and the selfish behavior of the interacting agents. In this document, we define a protocol framework for provable consensus computing of relevance, between content-addresable objects, which can be computed on GPUs. -
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Qualitis
Qualitis is a one-stop data quality management platform
Qualitis is a data quality management platform that supports quality verification, notification, and management for various datasource. It is used to solve various data quality problems caused by data processing. Based on Spring Boot, Qualitis submits quality model task to Linkis platform. It provides functions such as data quality model construction, data quality model execution, data quality verification, reports of data quality generation and so on. At the same time, Qualitis provides... -
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Swinject
Dependency injection framework for Swift with iOS/macOS/Linux
...In the pattern, Swinject helps your app split into loosely-coupled components, which can be developed, tested, and maintained more easily. Swinject is powered by the Swift generic type system and first-class functions to define the dependencies of your app simply and fluently. Services must be registered to a container before they are used. The typical registration approach will differ depending on whether you are using SwinjectStoryboard or not. -
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async-graphql
A GraphQL server library implemented in Rust
Async-graphql is a GraphQL server-side library implemented in Rust. It is fully compatible with the GraphQL specification and most of its extensions and offers type safety and high performance. You can define a Schema in Rust and procedural macros will automatically generate code for a GraphQL query. This library does not extend Rust's syntax, which means that Rustfmt can be used normally. I value this highly and it is one of the reasons why I developed Async-graphql. I like GraphQL and Rust. I've been using Juniper, which solves the problem of implementing a GraphQL server with Rust. ... -
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Database-backed Periodic Tasks
Celery Periodic Tasks backed by the Django ORM
This extension enables you to store the periodic task schedule in the database. The periodic tasks can be managed from the Django Admin interface, where you can create, edit and delete periodic tasks and how often they should run. Usage and installation instructions for this extension are available from the Celery documentation. If you change the Django TIME_ZONE setting your periodic task schedule will still be based on the old timezone. To create a periodic task executing at an interval... -
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django-money
Money fields for Django forms and models
...Django-money leaves you to use any custom model managers you like for your models, but it needs to wrap some of the methods to allow searching for models with money values. Also, the money_manager wrapper only wraps the standard QuerySet methods. If you define custom QuerySet methods, that do not end up using any of the standard ones (like "get", "filter" and so on), then you also need to manually decorate those custom methods. -
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Django Filer
File and Image Management Application for django
...Custom model fields are provided for use in 3rd party apps as a replacement for the default FileField from django. Behind the scenes a ForeignKey to the File model is used. It is possible to define the important part of an image (the subject location) in the admin interface for django-filer images. This is very useful when later resizing and cropping images with easy_thumbnails. The image can then be cropped automatically in a way, that the important part of the image is always visible. You can configure your project to generate canonical URLs for your public files. -
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Configure your Node.js Applications
Node.js application configuration
Node-config organizes hierarchical configurations for your app deployments. It lets you define a set of default parameters, and extend them for different deployment environments (development, qa, staging, production, etc.). Configurations are stored in configuration files within your application, and can be overridden and extended by environment variables, command line parameters, or external sources. This gives your application a consistent configuration interface shared among a growing list of npm modules also using node-config. config.get() will throw an exception for undefined keys to help catch typos and missing values. ... -
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Qmgo
The Go driver for MongoDB. It‘s based on mongo-go-driver
...If your connection points to a fixed database and collection, recommend using the following way to initialize the connection. All operations can be based on cli. Qmgo supports two ways to make specific fields automatically updated in a specific API. Define the custom fields, Qmgo will update them in update and insert operation. Automatically default and custom fields. CRUD to documents, with all supported options. -
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Toast
Containerize your development and continuous integration environments
Toast is a tool for doing work in containers. You define tasks in a YAML file called a toastfile, and Toast runs them in a containerized environment based on a Docker image of your choosing. What constitutes a "task" is up to you, tasks can install system packages, build an application, run a test suite, or even serve web pages. Tasks can depend on other tasks, so Toast can be understood as a high-level containerized build system. -
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Sangria
Scala GraphQL implementation
Sangria is a Scala GraphQL implementation. It is an example of GraphQL server written with Play framework and Sangria. It also serves as a playground, where you can interactively execute GraphQL queries and play with some examples. If you want to use sangria with a react-relay framework, then you also may be interested in sangria-relay. Sangria is a spec-compliant GraphQL implementation, so it works out of the box with Apollo, Relay, GraphiQL and other GraphQL tools and libraries. Since... -
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Ars Contexta
Claude Code plugin that generates individualized knowledge systems
...The system emphasizes long-term knowledge retention by structuring information into reusable and evolving documents rather than ephemeral chat logs. It allows users to define their thinking style and workflows, which the system uses to tailor how knowledge is captured and organized. Arscontexta integrates directly into coding workflows, making it particularly useful for developers who want to accumulate insights over time. The resulting knowledge base can be reused across sessions, improving productivity and reducing repeated explanations. -
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Nexent
Zero-code platform for building AI agents from natural language input
Nexent is an open source platform designed to enable users to create intelligent agents using natural language instead of traditional programming or visual orchestration tools. It focuses on a zero-code approach, allowing users to define workflows and agent behavior purely through language prompts, significantly lowering the barrier to entry for AI development. Built on the MCP ecosystem, Nexent integrates a wide range of tools, models, and data sources into a unified environment for agent creation and execution. Nexent supports multi-agent collaboration, enabling multiple intelligent agents to interact and coordinate tasks within complex workflows. ...
