Showing 5 open source projects for "java projects applications"

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  • The AI-powered unified PSA-RMM platform for modern MSPs. Icon
    The AI-powered unified PSA-RMM platform for modern MSPs.

    Trusted PSA-RMM partner of MSPs worldwide

    SuperOps.ai is the only PSA-RMM platform powered by intelligent automation and thoughtfully crafted for the new-age MSP. The platform also helps MSPs manage their projects, clients, and IT documents from a single place.
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  • Get full visibility and control over your tasks and projects with Wrike. Icon
    Get full visibility and control over your tasks and projects with Wrike.

    A cloud-based collaboration, work management, and project management software

    Wrike offers world-class features that empower cross-functional, distributed, or growing teams take their projects from the initial request stage all the way to tracking work progress and reporting results.
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  • 1
    Alluxio

    Alluxio

    Open Source Data Orchestration for the Cloud

    Alluxio is the world’s first open source data orchestration technology for analytics and AI for the cloud. It bridges the gap between computation frameworks and storage systems, bringing data from the storage tier closer to the data driven applications. This enables applications to connect to numerous storage systems through a common interface. It makes data local, more accessible and as elastic as compute.
    Downloads: 0 This Week
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  • 2
    Pentaho

    Pentaho

    Pentaho offers comprehensive data integration and analytics platform.

    Pentaho couples data integration with business analytics in a modern platform to easily access, visualize and explore data that impacts business results. Use it as a full suite or as individual components that are accessible on-premise, in the cloud, or on-the-go (mobile). Pentaho enables IT and developers to access and integrate data from any source and deliver it to your applications all from within an intuitive and easy to use graphical tool. The Pentaho Enterprise Edition Free Trial...
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    Downloads: 1,684 This Week
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  • 3
    DataGym.ai

    DataGym.ai

    Open source annotation and labeling tool for image and video assets

    DATAGYM enables data scientists and machine learning experts to label images up to 10x faster. AI-assisted annotation tools reduce manual labeling effort, give you more time to finetune ML models and speed up your go to market of new products. Accelerate your computer vision projects by cutting down data preparation time up to 50%. A machine learning model is only as good as its training data. DATAGYM is an end-to-end workbench to create, annotate, manage, and export the right training data...
    Downloads: 0 This Week
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  • 4
    apache spark data pipeline osDQ

    apache spark data pipeline osDQ

    osDQ dedicated to create apache spark based data pipeline using JSON

    This is an offshoot project of open source data quality (osDQ) project https://sourceforge.net/projects/dataquality/ This sub project will create apache spark based data pipeline where JSON based metadata (file) will be used to run data processing , data pipeline , data quality and data preparation and data modeling features for big data. This uses java API of apache spark. It can run in local mode also. Get json example at https://github.com/arrahtech/osdq-spark How to run Unzip the zip file Windows : java -cp ....
    Downloads: 0 This Week
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  • Self-hosted n8n: No-code AI workflows Icon
    Self-hosted n8n: No-code AI workflows

    Connect workflows. Integrate data

    A free-to-use workflow automation tool, n8n lets you connect all your apps and data in one customizable, no-code platform. Design workflows and process data from a simple, unified dashboard.
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  • 5
    Apache Kafka

    Apache Kafka

    Mirror of Apache Kafka

    Apache Kafka is a distributed streaming platform built around durable, partitioned logs called topics, enabling high-throughput, fault-tolerant event pipelines. Producers append records to partitions, brokers replicate them for durability, and consumer groups read them at their own pace while balancing work across instances. The commit/offset model and retention policies support patterns from real-time processing to event sourcing and audit trails. Exactly-once processing semantics,...
    Downloads: 3 This Week
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