Showing 5 open source projects for "note taking software"

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  • 99.99% Uptime for MySQL and PostgreSQL on Google Cloud Icon
    99.99% Uptime for MySQL and PostgreSQL on Google Cloud

    Enterprise Plus edition delivers sub-second maintenance downtime and 2x read/write performance. Built for critical apps.

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    Run Any Workload on Compute Engine VMs

    From dev environments to AI training, choose preset or custom VMs with 1–96 vCPUs and industry-leading 99.95% uptime SLA.

    Compute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
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  • 1
    Kamon Telemetry

    Kamon Telemetry

    Distributed Tracing, Metrics and Context Propagation for applications

    Kamon Telemetry is a set of libraries for instrumenting applications running on the JVM. With Kamon Telemetry you can collect metrics, propagate context across threads and services, and get distributed traces automatically. The best way to get started is by following our installation guides and taking it from there. Have fun with Kamon. Monitor your backend applications, fix performance issues, and get alerted when problems happen. All without being a monitoring expert. Everybody starts...
    Downloads: 0 This Week
    Last Update:
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  • 2
    Mill

    Mill

    Your shiny new Java/Scala build tool

    Your shiny new Scala build tool! Confused by SBT? Frustrated by Maven? Perplexed by Gradle? Give Mill a try. In-process tests live in the .test sub-modules of the various Mill modules. These range from tiny unit tests, to larger integration tests that instantiate a TestUtil.BaseModule in-process and a TestEvaluator to evaluate tasks on it. Note that the in-memory tests compile the BaseModule together with the test suite, and do not exercise the Mill script-file bootstrapping, transformation,...
    Downloads: 1 This Week
    Last Update:
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  • 3
    doobie

    doobie

    Functional JDBC layer for Scala

    ...This means we embrace pure, typeful, functional programming, and provide a safe and friendly environment for teaching, learning, and contributing as described in the Scala Code of Conduct. Note that doobie is pre-1.0 software and is still undergoing active development. New versions are not binary compatible with prior versions, although in most cases user code will be source compatible. Starting with the 0.5.x we’re trying to be a bit more careful about versioning. If you want to build and run the tests for yourself, you’ll need a local postgresql database.
    Downloads: 0 This Week
    Last Update:
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  • 4
    DataNucleus

    DataNucleus

    Java persistence using JDO, JPA or REST

    DataNucleus provides Java data persistence to a range of datastores using JDO/JPA/REST APIs. *** Note that code development is no longer on SourceForge (code on SourceForge is for versions up to 3.3.5 only) ***
    Downloads: 4 This Week
    Last Update:
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  • AI-generated apps that pass security review Icon
    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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  • 5
    CoSEEEK

    CoSEEEK

    Context-aware Software Engineering Environment Event-driven Framework

    CoSEEEK is a framework that provides automated guidance for software developers during the development lifecycle. Its unique holistic approach amalgamates quality management, process management, context management, and knowledge management and can thus provide support attuned to the current project situation and the engineer’s context. One key goal of CoSEEEK was to develop techniques so that applicable guidance can be provided to an engineer (a CoSEEEK user) in an automated way based on their current context (context-awareness); taking into account what activities they have done and are likely to do based on their process workflow (process-orientation) using a workflow engine; current quality risks and issues for the project (quality management) are taken into account; and knowledge such as guidance is provisioned (e.g., providing checklist items).
    Downloads: 0 This Week
    Last Update:
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