Showing 10 open source projects for "reporting"

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  • 1
    Claude SEO

    Claude SEO

    Universal SEO skill for Claude Code

    ...Recommendations include first-principle observations, dependency relationships, falsifiability checks, and leading indicators. It can run full site audits, single-page reviews, schema validation, AI search readiness checks, sitemap workflows, local SEO analysis, and SEO reporting. Claude SEO is useful for agencies, in-house teams, and consultants who want repeatable SEO audits inside Claude Code.
    Downloads: 9 This Week
    Last Update:
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    BambooAI

    BambooAI

    A Python library powered by Language Models (LLMs)

    BambooAI is a Python library powered by large language models (LLMs) for conversational data discovery and analysis, allowing users to interact with data through natural language.
    Downloads: 9 This Week
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  • 3
    OpenHarness

    OpenHarness

    Open Agent Harness with a built-in personal agent, Ohmo

    OpenHarness is an open-source framework developed to support large-scale machine learning workflows, particularly in the context of training, evaluating, and benchmarking AI models. It provides a structured environment for orchestrating experiments, managing datasets, and standardizing evaluation processes across different models. The project focuses on reproducibility and scalability, allowing researchers and engineers to run consistent experiments while tracking results effectively. It...
    Downloads: 10 This Week
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  • 4
    Agentic Data Scientist

    Agentic Data Scientist

    An end-to-end Data Scientist

    ...Unlike traditional scripted pipelines, this project lets AI agents break down high-level research goals into sub-tasks such as data acquisition, cleaning, modeling, evaluation, and reporting, with minimal human direction. Each agent is designed to independently call functions, interact with data sources, and adapt to uncertainties during processing, enabling iterative refinement of models without manual coordination. The framework supports interoperability with existing data tools and libraries, letting the agents leverage libraries like pandas, scikit-learn, and visualization frameworks to perform real computations rather than mock demonstrations.
    Downloads: 8 This Week
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    Build Agents and Models on One Platform

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  • 5
    PentestAgent

    PentestAgent

    AI agent framework for black-box security testing

    PentestAgent is an open-source autonomous security testing platform designed to help organizations identify vulnerabilities and assess security posture by simulating real-world attack scenarios without manual intervention. It brings a modular and automated approach to penetration testing by orchestrating a suite of tools and scripts that can emulate common exploitation techniques, reconnaissance workflows, and post-exploitation activities across targets. Users configure rules, policies, and...
    Downloads: 4 This Week
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  • 6
    The Fable Method

    The Fable Method

    How Claude Fable 5 worked, distilled into skills

    ...The repository preserves evaluation cases, raw judge outputs, failures, and results from hundreds of agent runs. Its rules include bounded retries, authorization gates, evidence requirements, and honest caveat reporting. It can be installed as a Claude Code plugin or as standalone skills.
    Downloads: 3 This Week
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  • 7
    A.I.G (AI-Infra-Guard)

    A.I.G (AI-Infra-Guard)

    Full-stack AI Red Teaming platform

    AI-Infra-Guard is a powerful open-source security platform from Tencent’s Zhuque Lab designed to assess the safety and resilience of AI infrastructures, codebases, and components through automated scanning and evaluation tools. It brings together AI infrastructure vulnerability scanning, MCP server risk analysis, and jailbreak evaluation into a unified workflow so that enterprises and individuals can identify critical security issues without relying on external services. Users can deploy it...
    Downloads: 3 This Week
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  • 8
    DeerFlow

    DeerFlow

    Deep Research framework, combining language models with tools

    DeerFlow is an open-source, community-driven “deep research” framework / multi-agent orchestration platform developed by ByteDance. It aims to combine the reasoning power of large language models (LLMs) with automated tool-use — such as web search, web crawling, Python execution, and data processing — to enable complex, end-to-end research workflows. Instead of a monolithic AI assistant, DeerFlow defines multiple specialized agents (e.g. “planner,” “searcher,” “coder,” “report generator”)...
    Downloads: 9 This Week
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  • 9
    HunterX Offensive Security Engine
    ...It combines reconnaissance, security-tool orchestration, AI-assisted reasoning, hypothesis-driven investigation, vulnerability validation, evidence collection, proof / PoC engineering, replay / reproducibility, correlation, impact assessment and professional reporting into a single workflow. The core message. HunterX does not stop at finding a possible vulnerability. It is built to investigate the hypothesis, validate the behavior, prove the finding, reproduce the evidence, assess the impact, and turn the result into a report-ready security finding. Vulnerability + Evidence + Reproducibility + Proof / PoC + Impact ================ Validated Finding
    Downloads: 16 This Week
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    Train ML Models With SQL You Already Know

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  • 10
    Hydroponic Automation Platform (HAPI)

    Hydroponic Automation Platform (HAPI)

    Technologies for automating food production on various scales

    The Hydroponic Automation Platform Initiative (HAPI) develops and provides hardware and software components for automating food production using hydroponic, aquaponics, and precision agriculture techniques. High-yield production in urban settings is one of the primary goals. Artifacts include hardware design (mainly Arduino-based), firmware, management software and reporting modules.
    Downloads: 2 This Week
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