Showing 2 open source projects for "fast performance"

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    AI-generated apps that pass security review

    Stop waiting on engineering. Build production-ready internal tools with AI—on your company data, in your cloud.

    Retool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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  • Atera all-in-one platform IT management software with AI agents Icon
    Atera all-in-one platform IT management software with AI agents

    Ideal for internal IT departments or managed service providers (MSPs)

    Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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    Gradle

    Gradle

    Adaptable, fast automation for all

    Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites. Gradle has been designed to support build automation across multiple languages and platforms including Java, Scala, Android, Kotlin, C/C++, and Groovy, and is closely...
    Downloads: 38 This Week
    Last Update:
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  • 2
    Build Time Tracker Plugin

    Build Time Tracker Plugin

    Gradle plugin to continuously track and report your build times

    The build‑time‑tracker‑plugin for Gradle continuously logs build performance data in a monoidal format, enabling statistical analysis across machines. This helps teams understand where build time is spent, compare build performance across environments, and identify bottlenecks. build-time-tracker writes a continuous log that is monoidal and can be collected from various machines to run statistical analyses.
    Downloads: 0 This Week
    Last Update:
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