Open Source Projects

Community-driven tools and libraries for IoT development

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QuarkDB

NoSQL Database for Arduino Microcontrollers

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Overview

QuarkDB is an open-source NoSQL database designed specifically for Arduino-based microcontroller platforms. It leverages ArduinoJson 6 to manage JSON documents on resource-constrained hardware, making it perfect for edge computing and IoT applications.

Key Features

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Platform Support: ESP8266, ESP32, and compatible Arduino boards
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JSON Document Storage: Store and retrieve JSON documents with ease
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Flexible Querying: MongoDB-style operators ($eq, $gt, $lt, $gte, $lte, $eleMatch)
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SPIFFS Integration: Persistent storage using SPIFFS file system
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API & CLI Access: Both programmatic and command-line interfaces

Database Operations

QuarkDB supports fundamental CRUD operations optimized for microcontrollers:

  • Create: Initialize lists with names under 12 characters
  • Add: Insert JSON records (default 500-byte limit per record)
  • Retrieve: Query with filters using comparison operators
  • Update: Replace matched records entirely
  • Delete: Remove specific records or entire lists

Configuration

QuarkDB provides sensible defaults while allowing customization:

  • Maximum 300 records per list (configurable)
  • 500 bytes per record limit (configurable)
  • Dedicated APIs for configuration management

Quick Stats

Platform Arduino
License Open Source
Language C++

Getting Started

  1. Install via Arduino Library Manager
  2. Include QuarkDB.h in your sketch
  3. Initialize the database
  4. Start storing JSON documents

Support

For issues or questions:

support@quarkifi.com GitHub Issues
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K3S Edge Orchestrator

Lightweight Kubernetes for IoT Edge Devices

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Overview

K3S Edge Orchestrator enables container orchestration on edge devices, bringing Kubernetes capabilities to resource-constrained IoT gateways and edge computing platforms.

Key Features

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Lightweight: Minimal resource footprint for edge devices
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Container Management: Deploy and manage containerized IoT applications
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Edge Computing: Run workloads closer to data sources
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Remote Management: Centralized control of distributed edge nodes

Quick Stats

Platform K3S/Kubernetes
Use Case Edge Computing

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