Search Results for "input-output model"

mcptools is a command-line interface designed for interacting with Model Context Protocol (MCP) servers using both standard input/output and HTTP transport methods. It allows users to discover and call tools, list resources, and interact with MCP-compatible servers. The tool supports various output formats and includes features like an interactive shell, project scaffolding, and server alias management. ​

kpt is a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery experience, which simplifies managing Kubernetes platforms and KRM-driven infrastructure (e.g., Config Connector, Crossplane) at scale by manipulating declarative Configuration as Data. Any general-purpose or domain-specific language can be used to create functions to transform and/or validate the YAML KRM input/output format, but we provide SDKs to simplify the function authoring...

Remove clutter from Kubernetes manifests to make them more readable.

aiac is a command line tool to generate IaC (Infrastructure as Code) templates, configurations, utilities, queries and more via OpenAI's API. The CLI allows you to ask the model to generate templates for different scenarios (e.g. "get terraform for AWS EC2"). It will make the request, and store the resulting code to a file, or simply print it to standard output. By default, aiac uses the same model used by ChatGPT, but allows using different models.

...It aggregates official and third-party APIs to pull records like ICP filings, affiliated/holding companies, apps, mini-programs, and WeChat official accounts, then exports merged results for analysis. The tool targets analysts who need one-click collection and normalized output to reduce manual lookups across registries and platforms. Recent releases added a reworked task model with queueing, resumable searches via cached progress, export format options, and a public API surface for custom keyword strategies. Documentation and issues discuss operational concerns such as rate limits, verification challenges, and use of proxies to reduce bans. ...

...CQRS stands for Command Query Responsibility Segregation and is a technique where object access (the Query part) and modification (the Command part) are separated from each other. This helps in designing complex data models where the actions can be totally independent from the data output. ES stands for Event Sourcing and is a technique where all events that have happened in a system are recorded, and all future actions are based on the events instead of a single data model. The main benefit of adding Event Sourcing is traceability of changes which can be used for example in audit logging. Additionally, "incorrect" events that happened in the past (for example due to a bug) can be compensated for with an event that will make the current data "correct", as that is based on the events.

Dep was an official experiment to implement a package manager for Go. While dep has many discrete components and moving parts, all of these parts revolve around a central model. Dep is a tool intended primarily for use by developers, to support the work of actually writing and shipping code. It is not intended for end users who are installing Go software - that's what go get does. It is strongly recommended that you use a released version of dep. While tip is never purposefully broken, its...

Grumpy is a Python-to-Go transcompiler and runtime designed as a near drop-in replacement for CPython 2.7 that compiles Python source to Go, then to native code. Instead of executing Python bytecode in a VM, Grumpy translates modules into Go code that calls a Go runtime library emulating Python semantics, which can yield performance and deployment benefits in Go ecosystems. The approach integrates with Go’s toolchain, enabling static binaries and potentially easier distribution in...

...The library encouraged idiomatic Go patterns—composition and interfaces—while offering a retained-mode tree of views for common desktop interactions. Although the project is no longer actively developed, it remains a reference for how to bridge Go’s concurrency model with UI event loops and rendering pipelines. Developers still look to it for examples of input handling, focus management, and custom drawing in pure Go environments.