Showing 8 open source projects for "source testing unit testing"

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  • 1
    PySpur

    PySpur

    Visual tool for building, testing, and deploying AI agent workflows

    PySpur is a visual development environment designed to help AI engineers build, test, and iterate on agent-based workflows more efficiently. It provides a structured playground where users can define test cases, construct agents either through Python code or a graphical interface, and continuously refine their behavior. It addresses common challenges in AI agent development such as prompt tuning difficulties and lack of visibility into workflow execution. By offering a visual representation...
    Downloads: 3 This Week
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  • 2
    TaskingAI

    TaskingAI

    Open platform for building, deploying, and managing LLM agents

    ...It includes a modular architecture that supports components such as assistants, tools, retrieval systems, and conversation management, all accessible through a consistent interface. TaskingAI also provides a built-in user interface for managing projects, testing workflows, and configuring AI agents without needing to rely entirely on code. It supports advanced techniques like retrieval-augmented generation and plugin-based extensions, allowing developers to enhance agent capabilities.
    Downloads: 4 This Week
    Last Update:
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  • 3
    Kiln

    Kiln

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

    ...Kiln also supports systematic testing of AI systems by defining evaluation criteria and running experiments to assess performance over time. Its workflow-oriented approach helps teams move from experimentation to production by organizing assets and results in a consistent format. It is particularly useful for teams working with large language models who need visibility into how changes impact outputs and overall system quality.
    Downloads: 0 This Week
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  • 4
    Open SaaS

    Open SaaS

    Open source SaaS boilerplate for React, NodeJS apps with Wasp stack

    ...It integrates several commonly used services and tools, including payment processing systems, email providers, analytics platforms, and AI integrations. It also includes an admin dashboard, testing setup, and deployment configuration to streamline development workflows. By bundling these components together, Open SaaS aims to reduce development time and make it easier to create scalable web applications.
    Downloads: 0 This Week
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  • 5
    Rivet

    Rivet

    Visual AI IDE for building agents with prompt chains and graphs

    Rivet is an open source visual AI programming environment designed to help developers build complex AI agents using a node-based interface and prompt chaining workflows. It provides a desktop application that allows users to visually construct and debug AI logic as interconnected graphs, making it easier to manage sophisticated interactions between language models and external tools. Rivet also includes a TypeScript library that enables these visual graphs to be executed and integrated...
    Downloads: 4 This Week
    Last Update:
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  • 6
    NOFX

    NOFX

    Open source AI trading OS for autonomous multi-model trading systems

    NOFX is an open source AI-powered trading operating system designed to automate financial trading workflows using autonomous AI agents. It acts as an infrastructure layer that transforms market data into AI-driven trade decisions and execution. Instead of requiring users to manually configure machine learning models, data sources, and API integrations, the system allows AI components to perceive market conditions, select models, and perform trading actions automatically. It supports running...
    Downloads: 5 This Week
    Last Update:
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  • 7
    RoboComp
    RoboComp is a robotics framework providing a set of open-source, distributed, real-time robotic and artificial vision software components and the necessary tools to create and manage them.
    Downloads: 0 This Week
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  • 8
    A test suite and benchmark for exact Euclidean distance transform algorithms used in Image Processing and computational geometry. It evaluates the exactness and speed of algorithms for a large number of test cases. Results can be visualized in Scilab.
    Downloads: 0 This Week
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