Showing 12 open source projects for "dynamicreports-examples"

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  • 1
    MongoEngine

    MongoEngine

    A Python Object-Document-Mapper for working with MongoDB

    MongoEngine is a Python Object-Document Mapper for working with MongoDB.
    Downloads: 2 This Week
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  • 2
    sqlite-vec

    sqlite-vec

    A vector search SQLite extension that runs anywhere

    A vector search SQLite extension that runs anywhere.
    Downloads: 4 This Week
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  • 3
    Laravel Options

    Laravel Options

    Global key-value store in the database

    Global key-value store in the database. To get started with options, use Composer to add the package to your project's dependencies. Run PHP artisan migrate to migrate the table. There will now be an options table in your database.
    Downloads: 3 This Week
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  • 4
    PyMongo

    PyMongo

    PyMongo - the Official MongoDB Python driver

    The PyMongo distribution contains tools for interacting with MongoDB database from Python. The bson package is an implementation of the BSON format for Python. The pymongo package is a native Python driver for MongoDB. The gridfs package is a gridfs implementation on top of pymongo.
    Downloads: 1 This Week
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  • 5
    Lada Cache

    Lada Cache

    A Redis based, fully automated and scalable database cache layer

    A Redis-based, fully automated, and scalable database cache layer for Laravel.
    Downloads: 1 This Week
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  • 6
    Valkey

    Valkey

    A flexible distributed key-value datastore

    Valkey is an open source (BSD) high-performance key/value datastore that supports a variety of workloads such as caching, and message queues, and can act as a primary database. Valkey can run as either a standalone daemon or in a cluster, with options for replication and high availability. Valkey natively supports a rich collection of datatypes, including strings, numbers, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, and more. You can operate on data structures in-place with an...
    Downloads: 2 This Week
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  • 7
    Testcontainers node

    Testcontainers node

    Supports tests, providing lightweight, throwaway instances of database

    Testcontainers is an open source library for providing throwaway, lightweight instances of databases, message brokers, web browsers, or just about anything that can run in a Docker container. No more need for mocks or complicated environment configurations. Define your test dependencies as code, then simply run your tests and containers will be created and then deleted. With support for many languages and testing frameworks, all you need is Docker. Use a containerized instance of your...
    Downloads: 2 This Week
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  • 8
    IndraDB

    IndraDB

    A graph database written in rust

    ...IndraDB departs from TAO (and most graph databases) in its support for properties. IndraDB offers a variety ways to work with it: as a server with cross-language support, as a rust library, and via CLI. What follows are a few examples of each use case.
    Downloads: 0 This Week
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  • 9
    iBoxDB Resources

    iBoxDB Resources

    Relative Examples and Resources of iBoxDB, etc...

    IOs, Graph Database Wrapper and more examples for iBoxDB Download Mirrors https://sourceforge.net/settings/mirror_choices?projectname=application-database&filename=iboxdb411.zip&selected=pilotfiber
    Downloads: 7 This Week
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  • 10
    Laravel Tenanti

    Laravel Tenanti

    Multi-tenant Database Schema Manager for Laravel

    Multi-tenant Database Schema Manager for Laravel. Tenanti allows you to manage multi-tenant data schema and migration manager for your Laravel application.
    Downloads: 2 This Week
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  • 11
    IP database REST API

    IP database REST API

    Open Source REST API for IP database, includes qqwry/ipipdotnet

    Open Source REST API for IP database, includes qqwry, ipipdotnet.
    Downloads: 0 This Week
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  • 12
    Cosmos DB Spark

    Cosmos DB Spark

    Apache Spark Connector for Azure Cosmos DB

    Azure Cosmos DB Spark is the official connector for Azure CosmosDB and Apache Spark. The connector allows you to easily read to and write from Azure Cosmos DB via Apache Spark DataFrames in Python and Scala. It also allows you to easily create a lambda architecture for batch-processing, stream-processing, and a serving layer while being globally replicated and minimizing the latency involved in working with big data.
    Downloads: 0 This Week
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