基于promise的高性能任务库
Transform import() expressions
Allow parsing of import()
Strict borsh compatible de/serializer
Transform SVG by adding a dynamic title element
Offload tasks to a pool of workers on node.js and in the browser
Run an array of functions in parallel
MediaPipe Vision Tasks
Cloud Tasks API client for Node.js
Run an array of functions in parallel, but limit the number of tasks executing at the same time
High-priority task queue for Node.js and browsers
Enhance Vite builtin dynamic import
Lint files staged by git
Runs a list of async tasks, passing the results of each into the next one
Provides core APIs, types and utilities used by dynamic plugins at runtime.
List of ML tasks for huggingface.co/tasks
Does the current environment have `import()` support?
Provides webpack ConsoleRemotePlugin used to build all dynamic plugin assets.
Run promise-returning & async functions in series, each passing its result to the next
Run promise-returning & async functions concurrently with optional limited concurrency
Use Claude Code without an Anthropics account and route it to another LLM provider
High-priority task queue for Node.js and browsers
Manage contextual information needed by (a)synchronous tasks without explicitly passing objects around
Full CSS support for JSX without compromises
Cape dynamically generates Capistrano recipes for Rake tasks. It provides a DSL for reflecting on Rake tasks and mirroring them as documented Capistrano recipes. You can pass Rake task arguments via environment variables.
Cap-EC2 is used to generate Capistrano namespaces and tasks from Amazon EC2 instance tags, dynamically building the list of servers to be deployed to.
Dynamic tasks system.
Some tasks, like database inserts, are much more efficient to process in a batch. However, we generally want our tasks to be processed "soon" even if there's only one task. The TaskBatcher gem groups tasks by a taskname parameter, and starts a timer when the first task comes in. After the batch timer expires, it processes all tasks that it received in that time. (The caller provides the block to process the tasks.) Uses EventMachine under the hood. May be combined with Messenger for durability guarantees.
Capify-EC2 is used to generate Capistrano namespaces and tasks from Amazon EC2 instance tags, dynamically building the list of servers to be deployed to.
Cap-GCE is used to generate Capistrano namespaces and tasks from Google Compute Engine instance metadatas, dynamically building the list of servers to be deployed to.
Provides a couple of tasks for creating the database.yml configuration file dynamically when deploy:setup is run.
Declare multiple '.env' files, set up dynamic load orders between them, and use rake tasks to keep them up to date and documented.
Hoe is a rake/rubygems helper for project Rakefiles. It helps you manage, maintain, and release your project and includes a dynamic plug-in system allowing for easy extensibility. Hoe ships with plug-ins for all your usual project tasks including rdoc generation, testing, packaging, deployment, and announcement. See class rdoc for help. Hint: `ri Hoe` or any of the plugins listed below. For extra goodness, see: https://docs.seattlerb.org/hoe/Hoe.pdf == Features/Problems: * Includes a dynamic plug-in system allowing for easy extensibility. * Auto-intuits changes, description, summary, and version. * Uses a manifest for safe and secure deployment. * Provides 'sow' for quick project directory creation. * Sow uses a simple ERB templating system allowing you to capture your project patterns.
That's a library (framework) to execute a graph of dependent tasks (vertices). Its main feature is to run all possible tasks independently in parallel once they're ready. Another feature is that the graph is dynamic and any vertex could produce another vertice(s) to extend execution graph.
This plugin empowers users to manipulate keyboard events and convert them into virtual input devices. It is designed to integrate seamlessly with other Fusuma plugins, thus enabling users to construct sophisticated input configurations and achieve distinctive functionalities. A key feature is the dynamic alteration of remapping layers within the Fusuma process, thereby enabling users to adapt their keyboard inputs to suit specific tasks or applications.
A database-backed round-robin assignment system with support for multiple groups, persistent state, and dynamic assignee lists. Perfect for distributing tasks, assignments, or work items evenly across team members.
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