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9 dépôts

Awesome GitHub RepositoriesStandard Stream Integration

Processing input from standard streams and returning structured output for CI/CD pipeline integration.

Distinct from Standard Input/Output Streams: Distinct from general event streams: focuses on standard I/O stream integration for pipeline automation.

Explore 9 awesome GitHub repositories matching data & databases · Standard Stream Integration. Refine with filters or upvote what's useful.

Awesome Standard Stream Integration GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • letta-ai/lettaAvatar de letta-ai

    letta-ai/letta

    21,168Voir sur GitHub↗

    Letta is a framework for building, deploying, and managing autonomous AI agents that maintain persistent state across long-term interactions. It provides a comprehensive suite of primitives for defining agents with configurable personas, modular memory blocks, and tool-use capabilities, enabling them to retain user preferences and conversation history over extended sessions. The platform distinguishes itself through its advanced memory management and orchestration capabilities. It allows agents to autonomously update their own memory, perform retrieval-augmented generation, and coordinate com

    Exchanges JSON messages over standard input and output to allow external programs to control agent behavior and receive responses.

    Pythonaiai-agentsllm
    Voir sur GitHub↗21,168
  • qwenlm/qwen-codeAvatar de QwenLM

    QwenLM/qwen-code

    19,078Voir sur GitHub↗

    Qwen-code is an AI-powered development framework designed for orchestrating intelligent coding agents within terminal and IDE environments. It provides a comprehensive infrastructure for automating software maintenance, code generation, and complex refactoring tasks by managing multi-agent workflows and persistent session states. The system is built to handle both interactive development and automated background processes, ensuring that agents can execute shell commands and file operations safely within isolated, sandboxed environments. What distinguishes this project is its focus on granular

    Processes input from standard streams and returns structured output for use in shell scripts and continuous integration pipelines.

    TypeScript
    Voir sur GitHub↗19,078
  • imagemagick/imagemagickAvatar de ImageMagick

    ImageMagick/ImageMagick

    15,742Voir sur GitHub↗

    ImageMagick is a comprehensive software suite for the creation, editing, composition, and conversion of digital images. It functions as both a command-line utility for batch processing and automation, and as a programming library that allows developers to integrate advanced image manipulation capabilities into external applications. The project is distinguished by its modular architecture, which supports hundreds of image formats through a pluggable coder system and external delegate libraries. It is designed for high-performance environments, utilizing memory-mapped pixel caching, stream-ori

    Reads and writes image data directly from standard streams to facilitate piping between processes.

    Ccommand-line-image-tooldigital-image-editingimage-conversion
    Voir sur GitHub↗15,742
  • projectdiscovery/subfinderAvatar de projectdiscovery

    projectdiscovery/subfinder

    13,105Voir sur GitHub↗

    Subfinder is a security reconnaissance framework designed for subdomain enumeration and attack surface management. It functions as a discovery engine that identifies and maps internet-exposed infrastructure, cloud-hosted assets, and network ranges to maintain a comprehensive inventory of an organization's digital footprint. The project distinguishes itself through a modular, template-driven scanning engine that executes security checks against discovered assets. It leverages cloud-native asset discovery to query provider APIs and infrastructure metadata, while supporting distributed agent orc

    Processes discovery results through standard input and output streams for seamless tool integration.

    Gobugbountyhackinghacktoberfest
    Voir sur GitHub↗13,105
  • s0md3v/photonAvatar de s0md3v

    s0md3v/Photon

    12,953Voir sur GitHub↗

    Photon is a command-line web crawler designed for security reconnaissance and information gathering. It systematically traverses websites to discover URLs, map domain infrastructure, and identify associated subdomains by retrieving DNS records. The tool distinguishes itself through its ability to perform deep content analysis, including the extraction of sensitive data such as API keys and authentication tokens using user-defined regular expressions. It supports offline inspection by cloning crawled web content to the local filesystem, allowing for structural analysis without additional netwo

    Directs discovered data to standard output streams for seamless integration with security workflows.

    Pythoncrawlerinformation-gatheringosint
    Voir sur GitHub↗12,953
  • tomnomnom/waybackurlsAvatar de tomnomnom

    tomnomnom/waybackurls

    4,322Voir sur GitHub↗

    Waybackurls is a command-line OSINT tool that retrieves every known URL for a given domain from the Wayback Machine archive. It functions as a domain reconnaissance utility, discovering forgotten API endpoints, legacy pages, and hidden files by querying the public web archive API. The tool processes domains independently and statelessly, reading domain names from standard input and streaming discovered URLs line-by-line to standard output. This design enables seamless integration into Unix command pipelines, allowing users to chain waybackurls with other tools for filtering, sorting, and furt

    Reading domain names from standard input and streaming discovered URLs to standard output for chaining with other tools.

    Go
    Voir sur GitHub↗4,322
  • zu1k/naliAvatar de zu1k

    zu1k/nali

    4,089Voir sur GitHub↗

    Nali est une suite d'outils en ligne de commande pour résoudre les adresses IP en emplacements géographiques et identifier les fournisseurs de réseaux de diffusion de contenu (CDN) en utilisant des bases de données hors ligne. Il fonctionne comme un outil de géolocalisation IP hors ligne et un résolveur de base de données qui mappe les adresses à des emplacements physiques et des propriétaires de réseau sans nécessiter de connexion internet active. Le projet se distingue par une approche « offline-first » de l'analyse réseau, utilisant des fournisseurs de base de données enfichables et la mise en cache de métadonnées de fichiers locaux pour garantir la confidentialité des données et l'indépendance vis-à-vis des API externes. Il inclut un utilitaire dédié pour identifier les fournisseurs de CDN et un système pour gérer et mettre à jour les fichiers de données géographiques locaux. La suite d'outils prend en charge les flux de travail interactifs et automatisés, avec une boucle de lecture-évaluation-impression (REPL) pour les recherches manuelles séquentielles et un processeur de métadonnées qui lit les flux d'adresses IP depuis l'entrée standard. Cela permet l'intégration de métadonnées géographiques et de fournisseur dans les pipelines shell. La configuration pour les magasins de données et les fichiers de configuration est gérée via des variables d'environnement système.

    Reads IP addresses from standard input and writes enriched data to standard output for shell pipelines.

    Gocdncdn-providerchunzhen
    Voir sur GitHub↗4,089
  • lirantal/nodejs-cli-apps-best-practicesAvatar de lirantal

    lirantal/nodejs-cli-apps-best-practices

    3,944Voir sur GitHub↗

    This project provides a comprehensive guide and set of architectural patterns for developing professional command-line interfaces using Node.js. It focuses on establishing industry standards for terminal-based applications, ensuring that tools are predictable, maintainable, and user-friendly. The guide emphasizes creating high-quality user experiences through interactive terminal elements, actionable error reporting, and graceful handling of system signals. It distinguishes itself by detailing how to integrate command-line tools into automated pipelines, specifically through the use of struct

    Processes data from standard input streams to enable seamless integration into automated command-line pipelines.

    awesomeawesome-listbest-practices
    Voir sur GitHub↗3,944
  • mike-engel/jwt-cliAvatar de mike-engel

    mike-engel/jwt-cli

    1,482Voir sur GitHub↗

    JWT CLI is a command-line utility for encoding, decoding, and inspecting JSON Web Tokens. Built as a memory-safe binary, it provides a dedicated interface for verifying token claims, debugging authentication workflows, and generating signed tokens from custom claims and secret keys. The tool is designed for integration into shell environments and automated pipelines. It supports standard input and output streams, allowing users to pipe token data directly into the utility for processing. To improve command-line efficiency, it includes support for shell completion scripts. The application is

    Supports standard input and output streams for seamless integration into shell pipelines.

    Rustclicommand-line-tooljson
    Voir sur GitHub↗1,482
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  3. Data Processing Pipelines
  4. Stream Processing Systems
  5. Data Streaming
  6. Structured Event Streams
  7. Standard Stream Integration