Search Results for "toolkit" - Page 16
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Showing 3655 open source projects for "toolkit"
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AWS SDK for Java
The official AWS SDK for Java 1.x (In Maintenance Mode
The AWS SDK for Java v1 is the long-standing, feature-complete toolkit for calling AWS services from Java applications. It provides service clients for nearly the entire AWS surface area, handling request signing, retries, pagination, and error translation so you can focus on business logic. The SDK offers both synchronous and asynchronous clients and integrates with popular HTTP stacks, credential providers, and logging frameworks. -
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ink-kit
Onchain-focused SDK with ready-to-use templates and themes
ink-kit is a developer toolkit for building applications on the INK blockchain ecosystem, bundling the pieces you typically need to go from a blank repo to a working dapp. It provides contract templates, deployment scripts, and client SDKs so you can iterate on on-chain logic and a frontend without stitching together disparate tools. The kit standardizes project layout and environment configuration, making local development, testing, and staging deploys predictable. -
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Tunix
A JAX-native LLM Post-Training Library
Tunix is a JAX-native library for post-training large language models, bringing supervised fine-tuning, reinforcement learning–based alignment, and knowledge distillation into one coherent toolkit. It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. ... -
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Penzai
A JAX research toolkit to build, edit, & visualize neural networks
Penzai, developed by Google DeepMind, is a JAX-based library for representing, visualizing, and manipulating neural network models as functional pytree data structures. It is designed to make machine learning research more interpretable and interactive, particularly for tasks like model surgery, ablation studies, architecture debugging, and interpretability research. Unlike conventional neural network libraries, Penzai exposes the full internal structure of models, enabling fine-grained... -
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Synthetic Data Kit
Tool for generating high quality Synthetic datasets
Synthetic Data Kit is a CLI-centric toolkit for generating high-quality synthetic datasets to fine-tune Llama models, with an emphasis on producing reasoning traces and QA pairs that line up with modern instruction-tuning formats. It ships an opinionated, modular workflow that covers ingesting heterogeneous sources (documents, transcripts), prompting models to create labeled examples, and exporting to fine-tuning schemas with minimal glue code. -
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K8tools
Security- and exploitation-oriented utilities and proof-of-concepts
...The project bundles exploits for many well-known CVEs, remote get-shell scripts, local privilege-escalation helpers, credential-harvesting utilities, scanning and brute-force tools, and a variety of platform-specific binaries and archives organized into folders for quick browsing. The README and repository metadata present it as an “all-in-one” toolkit for offensive security tasks, with many archived executables, exploit payloads, and helper scripts (including PowerShell and Python examples) that target services such as WebLogic, Tomcat, Zimbra, Struts2, Zabbix and others. The repo is actively starred and forked by the community, shows a long commit history, and includes many archived artifacts. -
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MusicBrainz Server
Server for the MusicBrainz project (website, API, database tools)
MusicBrainz Server is the web application powering the MusicBrainz open music metadata database. It handles artist, album, track, and recording entities and allows users to submit edits, vote, merge duplicates, and browse relationships like releases or linked ISRCs. The server supports full-text search, advanced filtering, web APIs, data dumps, and integration with other services like Cover Art Archive and Discogs. Its architecture ensures referential integrity and versioned change tracking... -
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Brick
A declarative Unix terminal UI library written in Haskell
Brick is a Haskell terminal user interface (TUI) programming toolkit that enables developers to build rich, responsive terminal applications via a declarative model: you define a pure function that renders the UI from application state and supply state transition logic to handle events. brick exposes a declarative API. Unlike most GUI toolkits which require you to write a long and tedious sequence of widget creations and layout setup, brick just requires you to describe your interface using a set of declarative layout combinators. ... -
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Trivy Operator
Kubernetes-native security toolkit
The Trivy Operator leverages Trivy to continuously scan your Kubernetes cluster for security issues. The scans are summarised in security reports as Kubernetes Custom Resource Definitions, which become accessible through the Kubernetes API. The Operator does this by watching Kubernetes for state changes and automatically triggering security scans in response. For example, a vulnerability scan is initiated when a new Pod is created. This way, users can find and view the risks that relate to... -
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KWOK
Kubernetes WithOut Kubelet - Simulates thousands of Nodes and Clusters
KWOK is a toolkit that enables setting up a cluster of thousands of Nodes in seconds. Under the scene, all Nodes are simulated to behave like real ones, so the overall approach employs a pretty low resource footprint that you can easily play around with on your laptop. -
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Kubeflow pipelines
Machine Learning Pipelines for Kubeflow
Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable. A pipeline is a description of an ML workflow, including all of the components in the workflow and how they combine in the form of a graph. The pipeline includes the definition of the inputs (parameters) required to run the pipeline and the inputs and outputs of each component. -
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Event Horizon
Event Sourcing for Go!
Event Horizon is a CQRS/ES toolkit for Go. Event Horizon is used in production systems but the API is not final! 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. -
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Octokit
Ruby toolkit for the GitHub API
API wrappers should reflect the idioms of the language in which they were written. Octokit.rb wraps the GitHub API in a flat API client that follows Ruby conventions and requires little knowledge of REST. Most methods have positional arguments for required input and an options hash for optional parameters, headers, or other options. While most methods return a Resource object or a Boolean, sometimes you may need access to the raw HTTP response headers. Access tokens can be revoked, removing... -
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TorchIO
Medical imaging toolkit for deep learning
TorchIO is an open-source Python library for efficient loading, preprocessing, augmentation and patch-based sampling of 3D medical images in deep learning, following the design of PyTorch. It includes multiple intensity and spatial transforms for data augmentation and preprocessing. These transforms include typical computer vision operations such as random affine transformations and also domain-specific ones such as simulation of intensity artifacts due to MRI magnetic field inhomogeneity... -
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Luakit
Fast, small, webkit based browser framework extensible by Lua
Luakit is a highly configurable browser framework based on the WebKit web content engine and the GTK+ toolkit. It is very fast, extensible with Lua, and licensed under the GNU GPLv3 license. It is primarily targeted at power users, developers and anyone who wants to have fine-grained control over their web browser’s behavior and interface. While switching to the WebKit 2 API means a vastly improved security situation, not all distributions of Linux package the most up-to-date version of WebKitGTK+, and several package very outdated versions that have many known vulnerabilities. ... -
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Compose Kotlin UI
A modern UI framework for Kotlin that makes building performant
Fast reactive desktop UIs for Kotlin, based on Google's modern toolkit and brought to you by JetBrains. Compose for Desktop simplifies and accelerates UI development for desktop applications, and allows extensive UI code sharing between Android and desktop applications. Currently in alpha. Compose for Desktop provides a declarative and reactive approach to creating user interfaces with Kotlin. Combine composable functions to build your user interface, and enjoy full tooling support from your IDE and build system, no XML or templating language required. ... -
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Metrics
Capturing JVM and application-level metrics
Metrics is a Java library which gives you unparalleled insight into what your code does in production. Metrics provides a powerful toolkit of ways to measure the behavior of critical components in your production environment. With modules for common libraries like Jetty, Logback, Log4j, Apache HttpClient, Ehcache, JDBI, Jersey and reporting backends like Graphite, Metrics provides you with full-stack visibility. The central library for Metrics is metrics-core, which provides some basic functionality. ... -
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Harbor LLM
Run a full local LLM stack with one command using Docker
Harbor is an open source, containerized toolkit designed to simplify running local large language model (LLM) environments. It combines a CLI and companion app to launch backends, frontends, and supporting services with minimal setup. With a single command, users can start preconfigured tools like Ollama and Open WebUI, enabling chat, workflows, and integrations immediately. -
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Claude Code Tools
Practical productivity tools for Claude Code, Codex-CLI
...Some components enable Claude Code to interact with terminal multiplexers such as tmux so that it can run programs, debug applications, and interact with scripts that require user input. The toolkit also provides safety mechanisms that prevent potentially dangerous shell commands from being executed automatically by AI agents. -
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Docker MCP Gateway
Docker mcp CLI plugin / MCP Gateway
Docker’s MCP Gateway project is a Docker CLI plugin and supporting gateway system designed to run, manage, and securely expose MCP servers using container isolation. It underpins the MCP Toolkit experience in Docker Desktop, but it can also be used independently as a general-purpose MCP operational layer. The core idea is to treat MCP servers like containerized services, giving each server controlled privileges and a lifecycle you can inspect, enable/disable, and reset as needed. Instead of having each AI client manage its own MCP server configuration, the gateway provides a unified interface so multiple clients can connect consistently to the same configured tool surface. ... -
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Cake
Distributed LLM and StableDiffusion inference
Cake is a compact, powerful toolkit that combines a flexible TCP/UDP proxy, port forwarding system, and connection manager designed for both development and penetration testing scenarios. It enables users to create complex networking flows where traffic can be proxied, relayed, and manipulated between endpoints — useful for debugging networked applications, inspecting protocols, or tunneling traffic through different hops. -
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CosyVoice
Multi-lingual large voice generation model, providing inference
...CosyVoice 2.0 significantly improves on version 1.0 by boosting accuracy, stability, speed, and overall speech quality, making it more suitable for production environments. The repository contains training recipes, inference pipelines, deployment scripts, and integration examples, positioning it as a comprehensive toolkit rather than just a set of model weights. -
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LLM Course
Course to get into Large Language Models (LLMs)
...Evaluation is treated as a first-class topic, with examples of automatic and human-in-the-loop methods to catch regressions and verify quality beyond simple loss values. By the end, students have a mental model and a practical toolkit for iterating on datasets, training configs, etc. -
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verl
Volcano Engine Reinforcement Learning for LLMs
VERL is a reinforcement-learning–oriented toolkit designed to train and align modern AI systems, from language models to decision-making agents. It brings together supervised fine-tuning, preference modeling, and online RL into one coherent training stack so teams can move from raw data to aligned policies with minimal glue code. The library focuses on scalability and efficiency, offering distributed training loops, mixed precision, and replay/buffering utilities that keep accelerators busy. ... -
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XLS
XLS: Accelerated HW Synthesis
XLS is an open-source toolkit for building high-level hardware with a modern compiler stack that spans from a functional DSL to optimized IR and hardware generation. At the front end, DSLX lets you describe algorithms with strong typing and familiar control flow while remaining synthesis-friendly. The compiler lowers DSLX into a rich intermediate representation, applies aggressive optimization and scheduling passes, and can either JIT the design for software simulation or emit Verilog for FPGA/ASIC flows. ...
