MongoDB Analytics Made Simple
Monitor your MongoDB collections with real-time analytics, performance metrics, and data quality insights.
npm i mongoscopeWhy Choose MongoScope?
Free, open source, and built for developers. Get enterprise-grade analytics without the enterprise price tag.
Zero Configuration
Get started in minutes with automatic setup. No complex configuration or setup required.
Code-Free Analytics
Comprehensive analytics and insights without writing a single line of analysis code.
Real-time Performance
Production-ready performance with minimal overhead, designed for real-time monitoring.
Developer-Friendly Integration
Three lines of code to get started. Designed by developers, for developers.
const { MongoScope } = require('mongoscope');
// Initialize MongoScope
const mongoScope = new MongoScope({
mongoUrl: process.env.MONGODB_URI,
port: 3100 // Optional, defaults to 3000
});
// Start the analytics dashboard
mongoScope.start().then(() => {
console.log('MongoScope dashboard running on http://localhost:3100');
});Comprehensive Analytics Suite
From basic statistics to advanced pattern analysis, understand your data better than ever.
Collection Statistics
Track document counts, collection size, average document size, and index metrics in real-time.
Time Series & Patterns
Analyze temporal patterns with hourly, daily, monthly, and yearly granularity.
Data Quality & Distribution
Monitor completeness, consistency, uniqueness, and distribution patterns across fields.
Time Series Analysis
Field Distribution
Advanced Analytics
Temporal Patterns
Day of Week Distribution
Hour Distribution
Monthly Distribution
Powerful Analytics Features
Basic Collection Stats
Monitor document count, collection size, average document size, and index metrics at a glance.
Time Series Analysis
Flexible time-based analysis with hourly, daily, monthly, and yearly data points.
Data Quality Metrics
Track completeness, type consistency, uniqueness rate, and overall data quality.
Temporal Patterns
Analyze distribution patterns across days, hours, and months to identify usage trends.
Outlier Detection
Identify anomalies with statistical analysis including standard deviation and mean comparison.
Pattern Recognition
Discover common values, patterns, and correlations between different fields.
Statistical Overview
Get min/max values, averages, and standard deviations for numerical fields.
Field Distribution
Visualize value distributions and analyze relationships between fields.
Key Insights
Automatically generated insights about your data patterns and anomalies.
Get Started in Minutes
Install
Add MongoScope to your project with npm
npm i mongoscopeConfigure
Initialize with your MongoDB connection
const mongoScope = new MongoScope({
mongoUrl: 'your-mongo-url'
})Start Analyzing
Access analytics dashboard
await mongoScope.start()Why MongoScope?
Frequently Asked Questions
Is MongoScope suitable for production use?
Yes, MongoScope is designed to be lightweight and secure, making it suitable for both development and production environments.
How does MongoScope handle sensitive data?
MongoScope runs locally in your environment and never sends data to external servers.
What's the performance impact?
MongoScope is designed to be lightweight and runs basic analytics queries that have minimal impact on your database performance.
Can I use MongoScope with my existing MongoDB setup?
Yes, MongoScope works with any MongoDB deployment including Atlas, self-hosted instances, and replica sets.