6 projects for "query" with 2 filters applied:

  • Add Two Lines of Code. Get Full APM. Icon
    Add Two Lines of Code. Get Full APM.

    AppSignal installs in minutes and auto-configures dashboards, alerts, and error tracking.

    Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
    Start Free
  • Go from Code to Production URL in Seconds Icon
    Go from Code to Production URL in Seconds

    Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

    Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
    Try it free
  • 1
    Dozzle

    Dozzle

    Realtime log viewer for containers. Supports Docker, Swarm and K8s

    ...The interface includes practical quality-of-life features like fuzzy searching for containers, regex log search, split-screen viewing for multiple logs, and live stats such as CPU and memory usage. It supports more advanced analysis through an in-browser SQL query engine for querying logs, which helps when you need structured filtering without exporting data elsewhere. Dozzle also supports multi-user authentication and can integrate with proxy-forward authorization setups for deployments behind gateways. For larger environments, it can monitor multiple hosts via an agent mode and supports orchestrators like Docker Swarm and Kubernetes.
    Downloads: 9 This Week
    Last Update:
    See Project
  • 2

    Java MythTV API

    An API allowing java applications to connect to MythTV as a client.

    jMythAPI is a java library to query and control a MythTV backend and MythTV database. JMythAPI uses the Myth protocol to communicate with the MythTV backend and the MySQL JDBC driver to query the MythTV database. It provides a high level API enabling java developers to easily access MythTV, without the need to know all the details about the underlying protocol and differences between various protocol versions.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3

    Fish4Knowledge Project

    Analysis of undersea fish videos

    The Fish4knowledge project investigated: information abstraction and storage methods for analyzing undersea video data (from 10E+15 pixels to 10E+12 units of information), machine and human vocabularies for detecting & describing fish, flexible process architectures to process the data and scientific queries and effective specialised user query interfaces. A combination of computer vision, database storage, workflow and human computer interaction methods were used to achieve this. The project used live video feeds from 10 underwater cameras as a testbed for investigating more generally applicable methods for capture, storage, analysis and querying of multiple video streams. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    Jaiom (Java All In One MediaProcessing Server) intends to provide a simple to use webservices based, media processing facade which processes videos, photos, pdf and MS Office media types using many different kind media processing engines.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Try Google Cloud Risk-Free With $300 in Credit Icon
    Try Google Cloud Risk-Free With $300 in Credit

    No hidden charges. No surprise bills. Cancel anytime.

    Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
    Start Free
  • 5
    SubtitleGet is a command-line tool written in Python, that I am creating in my spare time. It's main purpose is to search, download and/or upload subtitles using Opensubtitles.org fantastic site.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    VideoQuery is an application for automatic scene detection and query-by-example on a video database using an image similar to the scene you want to find.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB