Mongodhara

MongoDB management made elegant, fast, and intuitive.

mongoDhārā is a blazing-fast web UI for MongoDB — built with Svelte & FastAPI.
Manage databases, collections, documents, and GridFS visually with zero overhead.

📖 Table of Contents

• 💡 Why mongoDhārā?
• ✨ Key Features
• 🚀 Quick Start
• 🧑‍💻 Local Development
• � Docker Images
• 🔧 Configuration
• 🛡️ Security
• 🤝 Contributing
• ⚖️ Legal Notice
• 📄 License

💡 Why mongoDhārā?

mongoDhārā bridges the gap between raw MongoDB power and intuitive usability — without compromise.

At a Glance

Core Strengths

• Blazing Fast: Near-native MongoDB performance with direct driver access — no abstraction overhead
• Production-Ready Security: Built-in RBAC, audit logging, and encrypted resource IDs for enterprise deployments
• Developer Experience: Intelligent query builder with 50+ operator autocomplete, real-time field discovery, and smart templates
• Kubernetes-Native: Helm charts with autoscaling, health checks, and production-grade configurations
• Zero Lock-in: Open-source MIT license, standard MongoDB wire protocol, deploy anywhere

✨ Key Features

🔐 Security & Enterprise Features

• RBAC Authorization: Role-based access control with granular per-database permissions
• Opaque IDs: AES-GCM encrypted resource identifiers to prevent enumeration attacks
• Audit Logging: Comprehensive audit trail of all operations stored in MongoDB
• Configurable Authentication: Support for various OAuth proxies and authentication systems
• System Database Protection: Built-in safeguards against accidental system database modifications

⚡ High-Performance UI

• Near-native MongoDB speed with minimal overhead
• Optimized queries with fast pagination and filtering
• Responsive layout with light/dark theme support
• Real-time status updates and notifications
• Intuitive navigation with breadcrumbs and global search

🗂️ Database, Collection & Document Management

• Create, rename, and delete databases and collections
• Browse, query, and edit documents with a rich JSON editor
• Context-Aware Query Builder: Streamlines query writing with helpful suggestions:
  • @ Operator Autocomplete: Quickly inserts 50+ MongoDB operators (comparison, logical, array, geospatial) with convenient cursor placement
  • / Field Name Autocomplete: Suggests actual field names from your collections in real-time
  • # Value Helpers: Provides quick access to common values (DateTime ranges, null, booleans, UUIDs, empty arrays/objects)
  • Smart Templates: Inserts pre-defined query patterns with placeholders and cursor positioning
  • Real-time Validation: Checks query syntax and structure as you type
• Full CRUD support with bulk import/export of documents (JSON)
• Run large-scale bulk operations with progress and error tracking
• MongoDB-compliant naming and validation

📁 GridFS File Storage

• Upload, download, and manage files with GridFS
• Search files by name or metadata
• Create and manage multiple storage buckets

🧾 Rich JSON Editing

• Syntax-highlighted editor with real-time validation
• Inline error detection and formatting
• Auto-format and schema assistance
• DateTime helpers for quick date range queries

🚀 Quick Start

Kubernetes/Helm Deployment

The easiest way to deploy mongoDhārā is using the included Helm chart:

# Clone the repository
git clone <your-repo-url>
cd mongodhara

# Deploy with custom MongoDB URI and images
helm install mongodhara ./helm-chart \
  --set backend.image.repository=mongodhara/api \
  --set backend.image.tag=1.0.0 \
  --set frontend.image.repository=mongodhara/web \
  --set frontend.image.tag=1.0.0 \
  --set backend.env[0].value="mongodb://your-mongo-host:27017/yourdb"

💡 For production deployments and advanced configuration options, see the Helm Chart README.

🐳 Docker Images

Build and push Docker images:

# Backend
docker build -f dockerfiles/backend.Dockerfile -t your-registry.com/mongodhara/api:1.0.0 .
docker push your-registry.com/mongodhara/api:1.0.0

# Frontend
docker build -f dockerfiles/frontend.Dockerfile -t your-registry.com/mongodhara/web:1.0.0 .
docker push your-registry.com/mongodhara/web:1.0.0

📦 Published Packages

After publishing (triggered by pushes to release/** branches), you can use the pre-built artifacts from GitHub Container Registry (GHCR).

Helm Chart

Install the published Helm chart directly from GHCR:

# Install the latest version
helm install my-mongodhara oci://ghcr.io/sensoumya/mongodhara

# Or install a specific version
helm install my-mongodhara oci://ghcr.io/sensoumya/mongodhara --version <chart-version>

📋 View Packages: GitHub Packages

Docker Images

Pull the published Docker images:

# Backend API
docker pull ghcr.io/sensoumya/mongodhara/api:<branch>-<short-sha>

# Frontend Web UI
docker pull ghcr.io/sensoumya/mongodhara/web:<branch>-<short-sha>

📋 View Images: API Package | Web Package

🧑‍💻 Local Development

Prerequisites

• Python 3.9+
• Node.js 16+
• MongoDB server running locally

Setup Backend

cd backend
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt
python app/main.py  # Development server with auto-reload

Setup Frontend

cd frontend
npm install
npm run dev  # Opens at http://localhost:5173

🔧 Configuration

Detailed configuration guides:

• Helm Chart: Kubernetes deployment, security features, scaling
• Backend: Environment variables, RBAC, opaque IDs, audit logging

🛡️ Security

Production Security Checklist

• ✅ Use TLS/HTTPS with valid certificates (Ingress + cert-manager)
• ✅ Enable ENABLE_AUTHZ=true and configure user permissions
• ✅ Enable ENABLE_OPAQUE_IDS=true to prevent resource enumeration
• ✅ Configure OAuth proxy at ingress level (oauth2-proxy, Authelia, etc.)
• ✅ Enable global.features.auditLogging.enabled=true for compliance tracking
• ✅ Use network policies to restrict pod-to-pod communication
• ✅ Configure strong MongoDB authentication and encryption in transit
• ✅ Set appropriate resource limits and enable HPA for scaling
• ✅ Regularly review audit logs and monitor for anomalies

Built-in protections: RBAC with per-database permissions, AES-GCM encrypted resource IDs, system database write blocks (admin, local, config, mongodhara), TTL-based audit retention (365 days)

🤝 Contributing

Contributions welcome! Please:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit with clear messages (git commit -m 'Add amazing feature')
4. Push and open a Pull Request

⚖️ Legal Notice

This project is not affiliated with, endorsed by, or sponsored by MongoDB, Inc.

MongoDB® is a registered trademark of MongoDB, Inc. All product names, logos, and brands are property of their respective owners. Use of these names, trademarks, and brands does not imply endorsement.

📄 License

MIT License - see LICENSE for details.

Made with ❤️ by the Soumya Sen