Showing 8 open source projects for "simple"

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    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

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  • 1
    Free SAP Table Download Power Connector

    Free SAP Table Download Power Connector

    Free Download / Extract / Export from SAP to Excel / CSV / XML

    Download / Export any SAP table to Excel and/or CSV or XML individually or in groups! Use (simple/complex) filters . Option to schedule downloads or start via command line as well. Can replace full table download from SE16 SE16N SE16H and ties as connector with RPA e.g. Blueprism, UIPATH, Alteryx, Power Apps & Power Automate & Excel. Can also provide you SAP table downloads via its web services for e.g. Power Query and Power BI.
    Downloads: 3 This Week
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  • 2
    Metl ETL Data Integration

    Metl ETL Data Integration

    Simple message-based, web-based ETL integration

    Metl is a simple, web-based ETL tool that allows for data integrations including database, files, messaging, and web services. Supports RDBMS, SOAP, HTTP, FTP, SFTP, XML, FIXLEN, CSV, JSON, ZIP, and more. Metl implements scheduled integration tasks without the need for custom coding or heavy infrastructure. It can be deployed in the cloud or in an internal data center, and it was built to allow developers to extend it with custom components.
    Downloads: 8 This Week
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  • 3
    CloverDX

    CloverDX

    Design, automate, operate and publish data pipelines at scale

    ...Connects to RDBMS/JMS/Kafka/SOAP/Rest/LDAP/S3/HTTP/FTP/ZIP/TAR. CloverDX offers 100+ specialized components which can be further extended by creation of "macros" - subgraphs - and libraries, shareable with 3rd parties. Simple data manipulation jobs can be created visually. More complex business logic can be implemented using Clover's domain-specific-language CTL, in Java or languages like Python or JavaScript. Through its DataServices functionality, it allows to quickly turn data pipelines into REST API endpoints. The platform allows to easily scale your data job across multiple cores or nodes/machines. ...
    Downloads: 6 This Week
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  • 4
    FloatingBridge

    FloatingBridge

    Simple messaging \ Workflow \ETL system on MySql and .NET

    FloatingBridge is a simple messaging\ workflow system based on MySql and .NET. MySql is used as the backend engine for the system. The front-end is designed in .NET WPF (Windows Presentation Foundation). The business logic is handled by .NET windows services. The system provides an API which can be used to publish messages and pull subscribed messages out of the system.
    Downloads: 1 This Week
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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 5
    JBerd

    JBerd

    Java tools for decoding and manipulating BER encoded ASN.1 Files

    A simple Java ASN BER decoder and profiler A tool for easy manipulation of BER encoded files. An "awk" for ASN.1 BER (for Unix people) or maybe a "notepad" for ASN.1 BER (for Windows people). Jberd (Java BER decoder) is a lightweight BER decoder and associated tools for interpreting and processing BER encoded ASN.1 files. The following facilities are provided: • JBerd Profiler.
    Downloads: 0 This Week
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  • 6
    Simple ETL project that contains: - an ETL engine with syntactic and semantic validations - a web application used to upload file then verified by the ETL engine - a WPF application to define a new ETL project
    Downloads: 0 This Week
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  • 7
    Simple and easy ETL tool useful for small data warehouse projects. Written in Java.
    Downloads: 0 This Week
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  • 8
    Cuelake

    Cuelake

    Use SQL to build ELT pipelines on a data lakehouse

    ...You write Spark SQL statements in Zeppelin notebooks. You then schedule these notebooks using workflows (DAGs). To extract and load incremental data, you write simple select statements. CueLake executes these statements against your databases and then merges incremental data into your data lakehouse (powered by Apache Iceberg). To transform data, you write SQL statements to create views and tables in your data lakehouse. CueLake uses Celery as the executor and celery-beat as the scheduler. ...
    Downloads: 0 This Week
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