Showing 3 open source projects for "web testing"

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    Stop Storing Third-Party Tokens in Your Database

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    Rolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

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  • 1
    Lightpanda Browser

    Lightpanda Browser

    Lightpanda: the headless browser designed for AI and automation

    Lightpanda is an open-source headless browser designed specifically for automation, artificial intelligence workflows, and large-scale web interaction tasks. Unlike traditional browsers that include full graphical rendering engines meant for human users, Lightpanda is built from scratch to operate entirely in headless mode, focusing only on the components required for programmatic web interaction. This design allows it to execute JavaScript and interact with web pages while avoiding the...
    Downloads: 115 This Week
    Last Update:
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  • 2
    mistral.rs

    mistral.rs

    Fast, flexible LLM inference

    ...It also supports serving multiple models from the same server process, enabling routing or quick switching between models depending on workload needs. For user-facing testing, mistral.rs can provide a built-in web UI, and it also offers a dedicated lightweight web chat interface that supports richer interaction patterns.
    Downloads: 10 This Week
    Last Update:
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  • 3
    Paddler

    Paddler

    Open-source LLM load balancer and serving platform for hosting LLMs

    Paddler is an open-source LLM infrastructure platform designed to deploy, manage, and scale large language models on private infrastructure. The system acts as a specialized load balancer and serving layer for language models, enabling organizations to run inference workloads without relying on external API providers. It supports running models locally through engines such as llama.cpp while distributing requests across multiple compute nodes to improve performance and reliability. The...
    Downloads: 4 This Week
    Last Update:
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