Showing 16641 open source projects for "linux-tools"

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  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

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    Paessler - Monitor Your Whole Network in Minutes

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  • 1
    Scientific Visualization

    Scientific Visualization

    An open access book on scientific visualization using python

    The Scientific Visualization book is a freely available open-access textbook that introduces how to produce effective scientific visualizations using Python, focusing especially on leveraging the popular plotting library Matplotlib (and related tools). It goes beyond simple plotting tutorials and emphasizes design principles: how to choose colors, layout subplots, annotate graphs, and present data in a way that is both accurate and visually compelling. As such, it serves as a guide for researchers, data scientists, and academic authors who need to create publication-quality figures or explanatory graphics, rather than quick exploratory plots. ...
    Downloads: 3 This Week
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  • 2
    AUR Malware Check

    AUR Malware Check

    Detection tools for the June 2026 atomic-lockfile AUR supply-chain

    AUR Malware Check is a community repository for detecting exposure to the June 2026 atomic-lockfile supply-chain attack against the Arch User Repository. It collects scattered indicators, affected package lists, and detection scripts into one place for easier review and contribution. The project helps users compare installed AUR packages against known compromised package lists. It also includes checks for related package-manager cache artifacts and supports broader historical scans through...
    Downloads: 11 This Week
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  • 3
    Code-Mode

    Code-Mode

    Plug-and-play library to enable agents to call MCP and UTCP tools

    ...The repository contains both TypeScript and Python libraries, plus a code-mode-mcp component for integrating with MCP and UTCP ecosystems. Benchmarks in the README highlight improvements in latency and token cost for scenarios involving multiple tools, showing that code execution often outperforms traditional JSON-based function calling.
    Downloads: 0 This Week
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  • 4
    Tencent Cloud Code Analysis

    Tencent Cloud Code Analysis

    Static code analysis

    Tencent Cloud Code Analysis (TCA for short, used internally by the R&D code CodeDog ) is a cloud-native, distributed, high-performance comprehensive code analysis and tracking platform that integrates many analysis tools, including server, web and client The three components have integrated a number of self-developed tools, and also support the dynamic integration of analysis tools of various programming languages ​​in the industry. Obtain the Tencent Cloud code analysis platform by deploying TCA Server and Web, and complete the creation of related projects on the platform. ...
    Downloads: 0 This Week
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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

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  • 5
    Telegram Software SMM

    Telegram Software SMM

    Universal SMM platform for Telegram

    Telegram Software SMM is a Python platform for centralizing Telegram marketing and community-management workflows. It combines audience segmentation, communication tools, account handling, and chat automation in one system. A browser-based control interface provides access to its main operational functions. The platform can select message templates according to audience attributes and track the status of communications. It also includes tools for validating audience records, managing Telegram sessions, and checking account availability or restrictions. ...
    Downloads: 1 This Week
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  • 6
    Kaggle CLI

    Kaggle CLI

    The official CLI to interact with Kaggle

    Kaggle CLI is Kaggle’s official command-line interface for interacting with the Kaggle platform from a terminal. It lets users authenticate, search resources, download files, submit competition entries, manage datasets, work with models, run notebooks, and read discussion content without relying only on the web interface. The tool is useful for data scientists who want to automate Kaggle workflows inside scripts, CI jobs, notebooks, or reproducible local environments. It supports both...
    Downloads: 2 This Week
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  • 7
    Cactus Needle

    Cactus Needle

    26m function call model that runs on incredibly small devices

    ...It is based on a Simple Attention Network architecture and was distilled from a much larger model to focus on fast, compact tool-use behavior. The project provides open weights, training details, dataset generation resources, and a playground for testing the model with custom tools. Needle is optimized for single-shot function calling rather than broad conversational ability, so its core use case is selecting the right tool and producing structured arguments. It can be fine-tuned locally, including on consumer machines, which makes it useful for experimentation with small personalized agents. The project is best suited for researchers and developers exploring tiny AI models, edge inference, and lightweight tool-calling systems.
    Downloads: 2 This Week
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  • 8
    Chandra

    Chandra

    OCR model for complex documents with layout-aware structured outputs

    ...Chandra can be run locally using transformer-based inference or deployed with a high-performance server setup for large-scale processing. It also includes command-line tools and optional web-based interfaces to simplify interaction and batch processing workflows.
    Downloads: 2 This Week
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  • 9
    KIS Open API

    KIS Open API

    Korea Investment & Securities Open API Github

    ...The project is designed primarily for Python developers and AI automation environments that want to build investment applications, algorithmic trading systems, or financial analytics tools using the brokerage’s infrastructure. It includes example scripts that demonstrate how to authenticate with the service, retrieve financial data, and execute trading operations through REST and WebSocket interfaces. The repository organizes its examples into two main groups: code designed for direct user implementation and simplified examples intended for large language model agents or automation workflows.
    Downloads: 2 This Week
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  • 10
    LlamaDeploy

    LlamaDeploy

    Deploy your agentic worfklows to production

    ...Developers can define workflows that involve multiple steps such as data retrieval, reasoning, tool invocation, and response generation, then deploy them using the framework’s infrastructure tools. The design emphasizes scalability, modularity, and fault-tolerant execution so that agent systems can run reliably in production environments.
    Downloads: 2 This Week
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  • 11
    Free LLM API resources

    Free LLM API resources

    A list of free LLM inference resources accessible via API

    Free LLM API resources repository curated by cheahjs is a community-driven index of free and open API endpoints, tools, datasets, runtimes, and utilities for working with large language models (LLMs) without cost-barriers. It collects a wide range of resources including hosted free-tier LLM APIs, documentation links, public model endpoints, open datasets useful for training or evaluation, tooling integrations, and examples showing how to interact with these services in real applications. ...
    Downloads: 16 This Week
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  • 12
    8mb.local

    8mb.local

    Ffree local self hosted video compressor webui

    ...The platform presents a simple yet informative web dashboard that dynamically updates with device statuses, IP addresses, and latency information, giving users a centralized view of network health without complex dashboards. It also includes basic tools such as ping monitoring, service reachability checks, and port scanning, enabling users to diagnose connection issues quickly and without external services. The emphasis is on minimalism and performance, so it runs efficiently on low-power devices like Raspberry Pis or small containers, making it ideal for home labs or edge deployments. 8mb.local can also notify users of offline devices or connection drops through configurable alerts, helping preempt outages before they become serious.
    Downloads: 2 This Week
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  • 13
    ggshield

    ggshield

    Detect and validate 500+ types of hardcoded secrets

    GitGuardian’s ggshield is an open-source command-line interface (CLI) tool designed to help developers and security teams detect hardcoded secrets and sensitive credentials early in the development process, either locally or in CI/CD pipelines. It scans source code, configuration files, commit history, and other artifacts to automatically detect hundreds of different secret types — such as API keys, tokens, and passwords — helping prevent accidental leaks before they reach version control or...
    Downloads: 2 This Week
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  • 14
    Pathway

    Pathway

    Python ETL framework for stream processing, real-time analytics, LLM

    ...Unlike traditional batch processing frameworks, Pathway continuously updates the results of your data logic as new events arrive, functioning more like a database that reacts in real-time. It supports Python, integrates with modern data tools, and offers a deterministic dataflow model to ensure reproducibility and correctness.
    Downloads: 2 This Week
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  • 15
    Translate Toolkit

    Translate Toolkit

    Useful localization tools with Python API for building localization

    The localization engineers' Swiss Army Knife. Use it to convert, count, manipulate, review and debug texts. Tools that you can expand, adapt, and grow. Convert between a number of localization, translation and software formats. Allowing you and your translators to work on industry-standard translation formats. Search for pattern matches. Run tests that adapt to languages and source projects. Extract terminology. A large toolset to allow you to increase localization quality.
    Downloads: 1 This Week
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  • 16
    MetricFlow

    MetricFlow

    MetricFlow allows you to define, build, and maintain metrics in code

    ...When a user or tool requests a metric (e.g., “monthly revenue by region”), MetricFlow generates optimized, warehouse-specific SQL to compute that metric, handling joins, filters, time grains, offsets, and other complexities under the hood. Because metric definitions live centrally, you avoid duplication across teams and tools, reduce risk of inconsistent numbers, and make it easier to audit and evolve the logic over time. The project emphasizes explainability, performance and portability: you define metrics once and then they can be consumed in BI tools, notebooks, or even AI/agent-driven workflows.
    Downloads: 1 This Week
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  • 17
    RoboSats

    RoboSats

    A simple and private bitcoin exchange

    ...It uses Tor by default and leverages a simple robot-based user interface to facilitate one-time trades between anonymous users. Each trade session is isolated, and no long-term accounts or KYC are needed, making RoboSats one of the most private Bitcoin P2P tools available. Designed with a strong focus on usability and anonymity, it's especially popular among privacy advocates and Bitcoin maximalists.
    Downloads: 9 This Week
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  • 18
    PipesHub

    PipesHub

    Workplace AI platform for enterprise search and workflow automation

    PipesHub AI is an open-source, enterprise-grade workplace AI platform designed to unify search, knowledge management, and workflow automation across distributed organizational systems. It connects to a wide range of enterprise tools such as Google Workspace, Slack, Jira, and Confluence, aggregating data into a centralized knowledge layer that can be queried using natural language. The platform uses knowledge graphs and ranking algorithms to provide context-rich answers along with traceable sources, improving transparency and trust in AI-generated insights. PipesHub also enables the creation of custom AI agents and applications through a no-code interface, allowing teams to automate workflows and build intelligent tools without deep technical expertise. ...
    Downloads: 0 This Week
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  • 19
    Airweave CLI

    Airweave CLI

    The Airweave CLI for developers and AI agents

    Airweave CLI is a command-line interface designed to streamline the development, deployment, and management of AI-powered workflows and agent-based systems. It provides developers with a lightweight tool to interact with Airweave’s platform directly from the terminal, enabling rapid iteration on AI pipelines without relying on graphical interfaces. The CLI simplifies tasks such as configuring environments, running AI agents, managing prompts, and integrating external APIs, making it...
    Downloads: 0 This Week
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  • 20
    Swarms

    Swarms

    Enterprise multi-agent orchestration framework for scalable AI apps

    ...It emphasizes production readiness, offering modular architecture, high availability, and observability features suitable for large-scale deployments. It supports integration with multiple model providers and existing ecosystems, allowing developers to combine different AI tools and frameworks within a unified system. Swarms also includes mechanisms for agent lifecycle management, memory handling, and dynamic composition, making it adaptable to evolving workloads. Additionally, it focuses on developer productivity through APIs, CLI tools, and templates that simplify building and deploying agent-based applications.
    Downloads: 0 This Week
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  • 21
    skfolio

    skfolio

    Python library for portfolio optimization built on top of scikit-learn

    ...It supports a wide range of allocation methods, from classical mean-variance optimization to modern techniques that rely on clustering, factor models, and risk-based allocations. The framework also includes tools for evaluating portfolio performance under different market conditions, enabling users to test robustness and reduce the risk of overfitting.
    Downloads: 0 This Week
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  • 22
    Quantitative Trading System

    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.
    Downloads: 0 This Week
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  • 23
    pyAudioAnalysis

    pyAudioAnalysis

    Python Audio Analysis Library: Feature Extraction, Classification

    ...Because the library integrates machine learning algorithms with signal processing tools, it enables researchers to develop complete audio analysis pipelines using a single framework.
    Downloads: 0 This Week
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  • 24
    Youtu-Agent

    Youtu-Agent

    A simple yet powerful agent framework that delivers with models

    ...The system focuses on reducing the complexity traditionally involved in configuring large language model agents by providing a modular architecture that separates execution environments, tools, and context management. This structure allows developers to rapidly assemble agent systems capable of performing tasks such as research, file processing, and data analysis. The framework supports automated generation of agent components, enabling the system to synthesize prompts, tool interfaces, and workflow configurations automatically. ...
    Downloads: 0 This Week
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  • 25
    AutoMLOps

    AutoMLOps

    Build MLOps Pipelines in Minutes

    ...The service generates a containerized MLOps codebase, provides infrastructure-as-code to provision and maintain the underlying MLOps infra, and provides deployment functionalities to trigger and run MLOps pipelines. AutoMLOps gives flexibility over the tools and technologies used in the MLOps pipelines, allowing users to choose from a wide range of options for artifact repositories, build tools, provisioning tools, orchestration frameworks, and source code repositories. AutoMLOps can be configured to either use existing infra, or provision new infra, including source code repositories for versioning the generated MLOps codebase, build configs and triggers, artifact repositories for storing docker containers, storage buckets, etc.
    Downloads: 0 This Week
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