Showing 5 open source projects for "test management"

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  • 1
    Langflow

    Langflow

    Low-code app builder for RAG and multi-agent AI applications

    Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
    Downloads: 25 This Week
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  • 2
    Helicone

    Helicone

    Open source LLM-Observability Platform for Developers

    Open source LLM-Observability Platform for Developers. One-line integration for monitoring, metrics, evals, agent tracing, prompt management, playground, etc. Supports OpenAI SDK, Vercel AI SDK, Anthropic SDK, LiteLLM, LLamaIndex, LangChain, and more.
    Downloads: 4 This Week
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  • 3
    Claude Code Subagents Command Collection

    Claude Code Subagents Command Collection

    Claude Code Subagents & Commands Collection + CLI Tool

    ...Each subagent is defined by a concise role, tools, and behaviors, and ships as Markdown you can drop into your .claude/agents/ directory. The collection targets common developer workflows such as scaffolding, refactoring, test writing, documentation, security checks, and project management. It includes a CLI helper and documentation site that streamline installation, customization, and authoring of your own agents. The project’s framing mirrors modern software teams—delegate tasks to experts that can run in parallel under Claude’s subagent support. Frequent updates and community contributions keep the catalog current with new roles and best practices.
    Downloads: 2 This Week
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  • 4
    Kiln

    Kiln

    Open source platform for managing, testing, and deploying AI apps

    Kiln is an open source platform designed to help developers build, evaluate, and deploy AI-powered applications with greater structure and reliability. It provides a unified environment for managing prompts, datasets, and evaluation workflows, allowing teams to iterate on AI behavior in a controlled and measurable way. Kiln emphasizes reproducibility, enabling users to track changes to prompts and models while comparing outputs across different configurations. Kiln also supports systematic...
    Downloads: 0 This Week
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  • 5
    Facets

    Facets

    Visualizations for machine learning datasets

    The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive. Explore Facets Overview and Facets Dive on the UCI Census Income...
    Downloads: 0 This Week
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