Showing 6 open source projects for "python-kinterbasdb"

View related business solutions
  • Enterprise-grade ITSM, for every business Icon
    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

    Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
    Try it Free
  • Full-stack observability with actually useful AI | Grafana Cloud Icon
    Full-stack observability with actually useful AI | Grafana Cloud

    Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

    Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
    Create free account
  • 1
    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: 5 This Week
    Last Update:
    See Project
  • 2
    MongoEngine

    MongoEngine

    A Python Object-Document-Mapper for working with MongoDB

    MongoEngine is a Python Object-Document Mapper for working with MongoDB.
    Downloads: 4 This Week
    Last Update:
    See Project
  • 3
    ArcticDB

    ArcticDB

    ArcticDB is a high performance, serverless DataFrame database

    Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real-world data with an Incredibly fast proven Petabyte scale. ArcticDB is designed with quant users in mind. It allows you to self-manage your data leveraging your preferred infrastructure. Giving you the keys to protect your most valuable asset. Supports large concurrent writes to many tables ensuring datasets can be onboarded fast and in the most convenient format.
    Downloads: 45 This Week
    Last Update:
    See Project
  • 4
    Dokploy

    Dokploy

    Open Source Alternative to Vercel, Netlify and Heroku

    Streamline your operations with our all-in-one platform, perfect for managing projects, data, and system health with simplicity and efficiency. Simplify your project and data management, ensure robust monitoring, and secure your backups—all without the fuss over minute details. Elevate your infrastructure with tools that offer precise control, detailed monitoring, and enhanced security, ensuring seamless management and robust performance. Streamline your deployments with our PaaS....
    Downloads: 5 This Week
    Last Update:
    See Project
  • $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.
    Get Started
  • 5
    Resources

    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
    Leader badge
    Downloads: 12 This Week
    Last Update:
    See Project
  • 6
    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
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB