Showing 5 open source projects for "app-release.apk"

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  • Application Monitoring That Won't Slow Your App Down Icon
    Application Monitoring That Won't Slow Your App Down

    AppSignal's Rust-based agent is lightweight and stable. Already running in thousands of production apps.

    Full APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
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  • $300 in Free Credit Towards Top Cloud Services Icon
    $300 in Free Credit Towards Top Cloud Services

    Build VMs, containers, AI, databases, storage—all in one place.

    Start your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
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  • 1
    nango

    nango

    A single API for all your integrations.

    Nango is a single API to interact with all other external APIs. It should be the only API you need to integrate to your app. Nango is an open-source solution for integrating third-party APIs with applications, simplifying API authentication, data syncing, and management.
    Downloads: 1 This Week
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  • 2
    Jitsu

    Jitsu

    Jitsu is an open-source Segment alternative

    Jitsu is a fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days. Installing Jitsu is a matter of selecting your framework and adding few lines of code to your app. Jitsu is built to be framework agnostic, so regardless of your stack, we have a solution that'll work for your team. Connect data warehouse (Snowflake, Clickhouse, BigQuery, S3, Redshift ot Postgres) and query your data instantly. Jitsu can either stream data in real-time or send it in micro-batches (up to once a minute). Apply any transformation with Jitsu. ...
    Downloads: 0 This Week
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  • 3

    Stanford Data Miner

    Tools for integration and analysis of heterogeneous immunological data

    An extensive description of this system is published in the Journal of Translational Medicine (http://www.translational-medicine.com/). In brief, the system consists of two main web applications, a data integration app and a data exploration app. The data integration app is a fully custom Java "Web 2.0" product called Sherpa. Sherpa uses Seam, a platform integrating Asynchronous JavaScript and XML (AJAX), JavaServer Faces (JSF), the Java Persistence API (JPA), and Enterprise Java Beans (EJB) 3.0. The data exploration app is an open source business intelligence product called JasperServer (version 3.7), customized through supported configuration changes. ...
    Downloads: 0 This Week
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  • 4
    Mara Pipelines

    Mara Pipelines

    A lightweight opinionated ETL framework, halfway between plain scripts

    ...The web browser as the main tool for inspecting, running and debugging pipelines. GNU make semantics. Nodes depend on the completion of upstream nodes. No data dependencies or data flows. No in-app data processing: command line tools as the main tool for interacting with databases and data. Single machine pipeline execution based on Python's multiprocessing. No need for distributed task queues. Easy debugging and output logging. Cost based priority queues: nodes with higher cost (based on recorded run times) are run first.
    Downloads: 0 This Week
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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.

    Build, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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  • 5
    Nest Manager

    Nest Manager

    NST Manager (SmartThings)

    ...It offers a unified dashboard, rich device tiles, and automation hooks so users can monitor and control temperature, modes, and alerts alongside other smart home devices. The project emphasizes usability with guided setup flows, status summaries, and in-app diagnostics to help troubleshoot connectivity or permission issues. It exposes detailed attributes and commands, enabling powerful rules and scenes that coordinate Nest with sensors, presence, and schedules in SmartThings. Historical and environmental data can be surfaced to support energy-aware automations and notifications. For advanced users, it provides granular preferences to tune polling, event verbosity, and safety behaviors, turning SmartThings into a capable hub for Nest-centric homes.
    Downloads: 0 This Week
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