Search Results for "definitions"
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Showing 51 open source projects for "definitions"
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Infracost VSCode Extension
See cost estimates for Terraform right in your editor
...Catch costly typos: if you accidentally type 22 instead of 2 as the instance count, or 1000GB volume size instead of 100, the cost estimate will immediately pick that up and let you know. See cost estimates right above their Terraform definitions. Infracost's output updates on file save. Both resource and module blocks are supported. 3rd party module blocks are also supported! -
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Prefect
Prefect is a workflow orchestration framework
Prefect is an open-source modern workflow orchestration tool for scheduling, monitoring, and managing data workflows and tasks. It enables Python-native pipeline definitions with robust retries, caching, observability, and a powerful UI—ideal for data engineering and ETL processes. -
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LinearSolve.jl
High-Performance Unified Interface for Linear Solvers in Julia
LinearSolve.jl is a unified interface for the linear solving packages of Julia. It interfaces with other packages of the Julia ecosystem to make it easy to test alternative solver packages and pass small types to control algorithm swapping. It also interfaces with the ModelingToolkit.jl world of symbolic modeling to allow for automatically generating high-performance code. Performance is key: the current methods are made to be highly performant on scalar and statically sized small problems,... -
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Labeler
Label manager for PRs and Issues based on configurable conditions
An advanced, all-in-one GitHub Action enabling dynamic labeling of both issues and PRs based on a variety of configurable rules—covering metadata like age, author, branch, file changes, draft status, and more. A flexible tool for automating repository hygiene. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Arkflow
High performance Rust stream processing engine
Arkflow is a Rust-based framework for building reactive, event-driven data pipelines. Inspired by tools like Airflow and Dagster, it focuses on strong typing, modularity, and performance. Arkflow is ideal for developers who want a fast, extensible way to orchestrate workflows and data transformations in Rust. -
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Cube
Universal semantic layer platform for AI, BI, spreadsheets
Cube is the semantic layer for building data applications. It helps data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. Cube has a built-in relational caching engine to provide sub-second latency and high concurrency for API requests. -
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ScientificTypes.jl
An API for dispatching on the "scientific" type of data
This package makes a distinction between machine type and scientific type of a Julia object. The machine type refers to the Julia type being used to represent the object (for instance, Float64). The scientific type is one of the types defined in ScientificTypesBase.jl reflecting how the object should be interpreted (for instance, Continuous or Multiclass). -
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ReTest.jl
Testing framework for Julia
ReTest is a testing framework for Julia allowing defining tests in source files, whose execution is deferred and triggered on demand. This is useful when one likes to have definitions of methods and corresponding tests close to each other. This is also useful for code that is not (yet) organized as a package, and where one doesn't want to maintain a separate set of files for tests. Filtering run testsets with a Regex, which is matched against the descriptions of testsets. This is useful for running only part of the test suite of a package. ... -
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ReverseDiff
Reverse Mode Automatic Differentiation for Julia
ReverseDiff is a fast and compile-able tape-based reverse mode automatic differentiation (AD) that implements methods to take gradients, Jacobians, Hessians, and higher-order derivatives of native Julia functions (or any callable object, really). While performance can vary depending on the functions you evaluate, the algorithms implemented by ReverseDiff generally outperform non-AD algorithms in both speed and accuracy. -
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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KubeRay
A toolkit to run Ray applications on Kubernetes
KubeRay is a powerful, open-source Kubernetes operator that simplifies the deployment and management of Ray applications on Kubernetes. It offers several key components. KubeRay core: This is the official, fully-maintained component of KubeRay that provides three custom resource definitions, RayCluster, RayJob, and RayService. These resources are designed to help you run a wide range of workloads with ease. -
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claude-reflect
A self-learning system for Claude Code that captures corrections
...It watches what you correct Claude about — such as preferring a particular model, style, or workflow — and automatically queues those learnings, then lets you review and sync them back into configuration files like CLAUDE.md and agent definitions so Claude remembers them across sessions. Over time, this creates a personalized memory that helps the AI align more closely with your conventions, avoiding repeated misunderstandings and reducing friction in long-running or recurring tasks. In addition to capturing corrections, claude-reflect analyzes session history to identify repeated patterns and propose reusable commands or workflows, which can be converted into skills that accelerate productivity. -
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targets
Function-oriented Make-like declarative workflows for R
The targets package is a pipeline / workflow management tool in R, designed to coordinate multi‐step computational workflows in data science / statistics. It tracks dependencies between “targets” (computational steps), skips steps whose upstream data or code hasn’t changed, supports parallel computation, branching (dynamic generation of sub‐targets), file format abstractions, and encourages reproducible and efficient analyses. It’s something like GNU Make for R, but more integrated. Skipping... -
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Superstruct
A simple and composable way to validate data in JavaScript
This project is a lightweight validation library for JavaScript and TypeScript that helps you define data “shapes” and validate runtime values against them. Instead of relying only on compile-time typing, it focuses on the reality that many apps receive unknown input from APIs, forms, and external systems, and those values need runtime checks. Its API is intentionally familiar if you’ve used TypeScript, Flow, Go structs, or GraphQL schemas, but the output is oriented around runtime... -
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Whenever
Cron jobs in Ruby
...You can also write conditional logic around which jobs run on different environments or servers. Because it's integrated with your codebase, Whenever keeps your cron definitions versioned, testable, and maintainable alongside the rest of your project rather than buried in server configuration. -
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Foreman
Manage Procfile-based applications
...It handles port assignment and process concurrency, so you can spin up multiple copies of a worker or web server with a single command. Exporters generate native service definitions (e.g., systemd/Upstart/launchd), enabling the same process topology to run under OS service managers in staging or production. Colorized, prefixed logs and simple signals (restart/stop) provide a clear operational experience for polyglot stacks. By codifying your app’s runtime composition, Foreman reduces “works on my machine” friction and keeps local setups close to deployment reality. -
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Hotstrings
automatic text replacement tool
...• this function is similar to "AutoCorrect" function (Microsoft Word) or iOS → Keyboard → Text (replacement) BUT system wide • free and increasing database of existing libraries or triggerstring / hostring definitions. For more features, read on. -
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The SciDatVis library provides a software layer that allows abstract definitions of scientific data graphs in C++ for visualization.
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...Change-log for MathMod-11.1 (16/06/2021) 1) Support of graphing functions with complex numbers Z=u+iv in 3D and 4D spaces (demo scripts: "Complex3D_xx" and "Complex4D_Saddle") 2) Added support for HSV (hue, saturation, brightness) coloring model (script: "Complex_Domain_Coloring") 3) Texture definitions (RGB and HSV) for parametric surfaces can now be expressed as functions of complex numbers 4) Added a software implementation for the OpenGL variable gl_FrontFacing (fixed an issue with GPU drivers on MacOSX Catalina). The activation of this patch is available from mathmodconfig.js ("OpenGlConfig"-->"GL_FrontFacingSupport"=false) or the GUI("Appearance"-->"OpenGL Front Surface Support") 5) Bug-fixes, code optimization and documentation update.
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Java 2D & 3D visual entity relationship design & modeling (ERD,SQL) for Oracle,MSSQL,Postgres,MySQL,...,Database change&dictionary management, Swing Data Binding, Apache FOP Renderer for dot matrix printers,Sparx Enterprise Architect Reports + more
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RunaWFE Free
is low code bpm platform, which is easy to install and easy to use
...Thanks to RunaWFE web interface users can receive, filter, perform and delegate the tasks of business process instances, start new business process instances, view the properties of started business process instances, deploy new business process definitions. Administrators can: create /remove actors and groups, include /exclude actors to/from groups, grant permissions on system objects to actors and groups, forcibly stop business process instances, add/change actors substitutions rules. Tutorial: https://runawfe.org/doc/Tutorial InstallationGuide: https://runawfe.org/doc/InstallationGuide Documentation: https://runawfe.org/doc/Documentation -
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Framed
Effortless files and directories management
Framed is a Go-based CLI tool that helps developers define and enforce a reusable, architectural file/directory structure using YAML templates. It offers synchronization checks and CI integration to ensure consistency across projects. -
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WhereTraits.jl
Traits for julia: dispatch on whatever you want using where syntax
Welcome to WhereTraits.jl. This package exports one powerful macro @traits with which you can extend Julia's where syntax in order to support traits definitions. In addition, WhereTraits comes with a standardized way how to resolve ambiguities among traits, by defining an order among the traits with @traits_order. Under the hood @traits uses normal function dispatch to achieve the speed and flexibility, however, julia function dispatch can lead to ambiguities. With traits these can easily happen if someone defines @traits for the same standard dispatch but using different traits. -
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NagiosQL is a professional, web based configuration tool for Nagios 2.x/3.x/4.x. It is designed for large enterprise requirements as well as small environments. Any Nagios functionalities are supported.
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CheckinPanel
Automated check-in panel
...It centralizes account credentials and cookies in one dashboard, then runs tasks on a cron-like schedule so they execute reliably without user intervention. The project emphasizes ease of deployment—commonly via Docker—and provides extensible task definitions so new sites can be added or customized. Notifications can be wired to common channels (for example, Telegram or mail) to report results, errors, or captchas that require attention. Multi-account support and per-task configuration allow fine control over timing, retries, and proxy usage when necessary. In practice, it’s a practical automation layer for users who want consistency and visibility across many small, repetitive web routines. -
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Boost Note
Boost Note is a document driven project management tool
Boost Note is a document-driven project management tool that maximizes remote DevOps team velocity. Write overviews of systems including concepts, terminology definitions and descriptions of how these concepts work together. Having a 'living document' to help drive dialogue and exchange of ideas through collaboration helps this process significantly. Organize your dev team's sprint backlog and visualize them with status, assignees, reviewers, due date and everything you need. Reduce repeated progress updates in the company chat and standup meetings. ...
