Search Results for "inotify-tools" - Page 4
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Showing 2219 open source projects for "inotify-tools"
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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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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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INTERCEPT
Unites the best signal intelligence tools
iNTERCEPT is a web-based interface that brings multiple software-defined radio and signal-intelligence style tools under one consistent dashboard, making complex workflows more approachable. Rather than requiring you to learn a different UI and setup process for each underlying utility, it provides a single place to start modes, view results, and monitor activity from a browser. The project’s goal is accessibility: lowering the skill and setup barrier so learners and authorized testers can explore radio and RF-adjacent analysis with clearer workflows and less tool friction. ... -
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Anomalib
An anomaly detection library comprising state-of-the-art algorithms
...Its design supports unsupervised or semi-supervised paradigms, making it especially powerful for scenarios where only “normal” data is readily available and defects must be detected without exhaustive labeling. Combined with its CLI and integration with optimization tools like OpenVINO, it’s suitable for both research and edge deployment tasks. -
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Composio
Composio equip's your AI agents & LLMs
Empower your AI agents with Composio - a platform for managing and integrating tools with LLMs & AI agents using Function Calling. Equip your agent with high-quality tools & integrations without worrying about authentication, accuracy, and reliability in a single line of code. -
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Phidata
Build multi-modal Agents with memory, knowledge, tools and reasoning
...It includes features like real-time monitoring, agent evaluations, and performance optimization tools, ensuring the reliability and scalability of AI solutions. Phidata also allows developers to bring their own cloud infrastructure, offering flexibility for custom setups. The platform provides robust support for enterprises, including security features, agent guardrails, and automated DevOps for smoother deployment processes. -
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MCP Bridge
A middleware to provide an openAI compatible endpoint
MCP-Bridge serves as a middleware that connects the OpenAI API with MCP tools, allowing developers to utilize MCP functionalities through the OpenAI API interface. It provides endpoints compatible with OpenAI, facilitating seamless integration and enabling the use of MCP tools without requiring explicit MCP support in clients. -
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FinGPT
Open-Source Financial Large Language Models
...It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions rather than generic knowledge alone. The platform typically includes tools for fine-tuning, context engineering, and prompt templating, enabling users to build specialized assistants for tasks like sentiment analysis, earnings summary generation, risk profiling, trading signal interpretation, and document extraction from financial reports. -
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Data Science Articles from CodeCut
Collection of useful data science topics along with articles
The Data-science repository from CodeCutTech is a curated collection of educational content focused on practical tools and workflows used in modern data science projects. Instead of providing a single software package, the repository aggregates articles, tutorials, and examples covering many topics within the data science ecosystem. The materials address areas such as MLOps, data management, project organization, testing practices, visualization techniques, and productivity tools used by data scientists. ... -
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JamTools
JamTools is a cross-platform gadget set software
...JamTools is structured to allow modular expansion, enabling new tools and features to be added over time. Its interface is designed to centralize multiple utilities, reducing the need for separate applications. Overall, it serves as an all-in-one toolkit for managing everyday tasks and media workflows. -
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Canmatrix
Converting Can (Controller Area Network) Database Formats
...Canmatrix implements a "Python Can Matrix Object" which describes the can-communication and the needed objects (Board units, Frames, Signals, Values, ...) Canmatrix also includes two Tools (can convert and can compare) for converting and comparing CAN databases. -
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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AutoAgent AI
Autonomous harness engineering
AutoAgent is an experimental AI framework focused on autonomous agent engineering, where a meta-agent iteratively improves another agent’s architecture without direct human intervention. Instead of manually tuning prompts or workflows, developers define high-level goals in a configuration file, and the system continuously modifies its own tools, orchestration, and logic based on benchmark performance. It operates through a loop of testing, analyzing failures, and refining the agent’s configuration to maximize a scoring metric. The framework uses a single-file agent harness combined with structured tasks and evaluation suites to guide optimization. It runs inside Docker for safe execution and reproducibility. ... -
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XXMI Launcher
Modding platform for GI, HSR, WW and ZZZ
...It also includes advanced configuration options that allow users to customize how games are launched, providing flexibility for different setups and workflows. The launcher maintains itself and its associated components through automatic updates, ensuring compatibility with game updates and modding tools. -
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Build Your Own OpenClaw
A step-by-step guide to build your own AI agent
Build Your Own OpenClaw is a step-by-step educational framework that teaches developers how to construct a fully functional AI agent system from scratch, gradually evolving from a simple chat loop into a multi-agent, production-ready architecture. The project is structured into 18 progressive stages, each introducing a new concept such as tool usage, memory persistence, event-driven design, and multi-agent coordination, with each step including both explanatory documentation and runnable... -
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Agent Framework
Framework for building, orchestrating, and deploying AI agents
...It provides a unified programming model that supports both Python and .NET implementations, allowing developers to create agent-driven applications in multiple programming environments. It includes tools and abstractions for constructing simple conversational agents as well as complex workflows where multiple agents collaborate to complete tasks. Microsoft Agent Framework supports graph-based orchestration that enables developers to connect agents, functions, and tools into structured workflows capable of handling multi-step processes. ... -
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cheat.sh
The only cheat sheet you need
cheat.sh is a compact, network-accessible cheat-sheet service that serves concise examples and usage notes for hundreds of shell commands, programming languages, and tools via a simple HTTP interface. You can query it from the terminal (for example curl cht.sh/rsync or curl cheat.sh/ls) or browse the web front page; it also supports a shorthand hostname (cht.sh) and provides both online and standalone/local installation modes. The repository contains the server and client code, instructions to run a local standalone instance (including Python virtualenv setup), and tooling to fetch or maintain the upstream cheat-sheet data; installation documentation explains disk-space needs and dependency setup for offline use. ... -
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Quantitative Trading System
A comprehensive quantitative trading system with AI-powered analysis
Quantitative Trading System is a comprehensive quantitative trading platform that integrates artificial intelligence, financial data analysis, and automated strategy execution within a unified software system. The project is designed to provide an end-to-end infrastructure for building and operating algorithmic trading strategies in financial markets. It includes tools for collecting and processing market data from multiple sources, performing statistical and machine learning analysis, and generating trading signals based on quantitative models. The system supports real-time data streaming, allowing strategies to respond to market conditions as they evolve. QuantMuse also incorporates advanced risk management features, including portfolio monitoring, risk limits, and dynamic position sizing to control exposure. -
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TikTok-ViewBot
ViewBot using requests updated 2025
...It is often used to study rate limits, signature schemes, request patterns, and the fragility of naïve automation. Because it touches on automation against a third-party service, responsible use and adherence to platform terms are emphasized; using such tools to manipulate metrics or violate policies is unethical and can be unlawful. From a security research perspective, understanding these patterns helps both defenders and platform engineers improve abuse detection. For developers, the repo also serves as a cautionary example of how brittle unofficial integrations can be and why resilient, compliant APIs matter. -
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Qwen3
Qwen3 is the large language model series developed by Qwen team
...It delivers higher quality and more helpful text generation across multiple languages and domains, including mathematics, coding, science, and tool usage. Various quantized versions, tools/pipelines provided for inference using quantized formats (e.g. GGUF, etc.). Coverage for many languages in training and usage, alignment with human preferences in open-ended tasks, etc. -
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Ruff
An extremely fast Python linter, written in Rust
...Ruff can be configured through a pyproject.toml, ruff.toml, or .ruff.toml file (see: Configuration, or Settings for a complete list of all configuration options). Ruff supports over 500 lint rules, many of which are inspired by popular tools like Flake8, isort, pyupgrade, and others. Regardless of the rule's origin, Ruff re-implements every rule in Rust as a first-party feature. -
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virtualenv
Virtual Python environment builder
virtualenv is a tool to create isolated Python environments. Since Python 3.3, a subset of it has been integrated into the standard library under the venv module. It creates an environment that has its own installation directories, that doesn’t share libraries with other virtualenv environments (and optionally doesn’t access the globally installed libraries either). The basic problem being addressed is one of dependencies and versions, and indirectly permissions. Imagine you have an... -
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Claude Code SDK Python
Python SDK for Claude Agent
...It provides abstractions to easily query Claude Code (with streaming support) and conduct interactive sessions. The SDK includes core client classes, asynchronous query functions, and support for custom tools and hooks within Claude sessions. It is designed to integrate with local Python workflows and allow developers to embed Claude Code capabilities directly in their applications or scripts. The repo is MIT-licensed and includes documentation and installation instructions (requires Python 3.10+, Node installation of Claude Code). Example usage shows how to stream responses, parse structured message blocks, or create persistent client sessions. -
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DefectDojo
DefectDojo is a DevSecOps and vulnerability management tool
...DefectDojo enriches and refines vulnerability data using a number of heuristic algorithms that improve with the more you use the platform. DefectDojo integrates with 85+ security tools. DefectDojo has bi-directional integration with JIRA to manage vulnerabilities in developer's natural backlogs. DefectDojo has smart features that learn over time and can automatically tune results. DefectDojo has everything you need to track projects, personnel, metrics, and tasks. DefectDojo allows you to focus on what you actually enjoy doing, rather than reports and metrics. -
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nanobot
🐈 nanobot: The Ultra-Lightweight Clawdbot / OpenClaw
nanobot is an ultra-lightweight personal AI assistant designed to deliver powerful agent capabilities without unnecessary complexity. Built in just ~4,000 lines of clean, readable code, it offers a minimalist alternative to heavyweight agent frameworks while retaining core intelligence and extensibility. nanobot is optimized for speed and efficiency, enabling fast startup times and low resource usage across environments. Its research-ready architecture makes it easy for developers to... -
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AnyTool
AnyTool: Universal Tool-Use Layer for AI Agents
...It uses progressive filtering and adaptive orchestration to ensure the right tools are retrieved efficiently and work cohesively with agents of varying complexity, scaling to thousands of tools with self-optimizing behavior. The system also tracks tool reliability and quality, offering a safer and more predictable automation experience with persistent learning from previous executions. -
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ToolUniverse
Democratizing AI scientists with ToolUniverse
...The platform abstracts tool usage behind a consistent interface, allowing AI agents to compose multi-step workflows, refine tool definitions automatically, and even generate new tools from natural language descriptions. -
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Archipelago
Archipelago Multi-Game Randomizer and Server
...When a player finds an item belonging to someone else, the system automatically sends that item to the correct player through a networked server. This design encourages cooperative gameplay because progress in one player’s game can depend on items found by other participants. Archipelago includes tools for generating randomized game worlds, hosting multiplayer sessions, and connecting players through dedicated clients. The framework supports a growing list of games that have been adapted to work with its randomization protocol.
