A curated list of awesome libraries, tools, frameworks, and resources for MongoDB, a NoSQL document database designed for modern application development.

• Libraries and Drivers
• GUI Tools
• Backup and Migration
• Data Modeling and Schema Design
• Optimization and Monitoring
• Replication and Sharding
• Learning Resources
• Books
• Community
• Contribute
• License

• MongoDB Node.js Driver - The official MongoDB driver for Node.js.
• PyMongo - The official MongoDB driver for Python.
• Mongoose - A popular MongoDB ODM for Node.js, providing schema-based models.
• MongoEngine - An Object-Document Mapper (ODM) for Python, built on top of PyMongo.
• mongo-java-driver - The official MongoDB driver for Java.
• Spring Data MongoDB - A Spring-based library for integrating MongoDB with Java applications.
• mgo - A MongoDB driver for Go.

• MongoDB Compass - The official MongoDB GUI for querying, visualizing, and analyzing data.
• Robo 3T (Robomongo) - A lightweight, open-source MongoDB GUI.
• Studio 3T - A powerful GUI and IDE for MongoDB with a built-in query editor.
• DBeaver - A free, universal database tool that supports MongoDB.
• NoSQLBooster for MongoDB - A MongoDB GUI client with intelligent query capabilities.

• mongodump - A built-in MongoDB utility for backing up data.
• mongoexport - A tool for exporting MongoDB data to JSON or CSV formats.
• Percona Backup for MongoDB - A free, open-source backup tool for MongoDB.
• Mongify - A tool for migrating data from SQL databases to MongoDB.
• BSONDump - A tool to convert BSON files (generated by mongodump) to human-readable formats.

• Mongoose Schema Design - Documentation on designing schemas with Mongoose for Node.js.
• MongoDB Data Modeling Guide - Official guidelines for data modeling in MongoDB.
• Modeling One-to-Many Relationships - An article on designing one-to-many relationships in MongoDB.
• Schema Design Anti-Patterns - Common schema design pitfalls to avoid in MongoDB.

• MongoDB Profiler - A built-in tool for analyzing query performance.
• mongostat - A command-line tool for monitoring MongoDB performance metrics.
• PMM (Percona Monitoring and Management) - A tool for monitoring MongoDB performance.
• mtools - A set of tools for analyzing MongoDB logs and performance.
• MongoDB Atlas Performance Advisor - A feature of MongoDB Atlas that provides query optimization recommendations.

• MongoDB Replication - Official documentation on setting up and managing MongoDB replication.
• MongoDB Sharding - Official guide on sharding MongoDB for horizontal scaling.
• ReplicaSet Manager - A tool for managing MongoDB replica sets.
• Sharded Cluster Balancer - A guide on balancing shards in a MongoDB sharded cluster.

• MongoDB University - Free online courses on MongoDB, from basics to advanced topics.
• The MongoDB Manual - The official MongoDB documentation.
• MongoDB Tutorial - Tutorials and guides for learning MongoDB.
• Leetcode: MongoDB Problems - Practice problems focused on MongoDB queries.
• Mastering MongoDB Aggregation - An in-depth guide to MongoDB’s aggregation framework.

• MongoDB: The Definitive Guide by Shannon Bradshaw, Kristina Chodorow - A comprehensive guide to MongoDB.
• MongoDB Applied Design Patterns by Rick Copeland - A book on practical data modeling techniques in MongoDB.
• Mastering MongoDB 6.x by Alex Giamas - An advanced guide to building applications with MongoDB.
• The Little MongoDB Book by Karl Seguin - A beginner-friendly book on MongoDB.
• MongoDB Performance Tuning by Guy Harrison - A guide to optimizing MongoDB performance.

• MongoDB Developer Community - The official MongoDB community forum.
• Reddit: r/mongodb - A subreddit for MongoDB discussions and questions.
• Stack Overflow: MongoDB - A Q&A site for MongoDB-related questions.
• Planet MongoDB - A blog aggregator for MongoDB posts and news.
• MongoDB Slack Community - Join the MongoDB Slack for discussions and networking.

Contributions are welcome. Please ensure your submission fully follows the requirements outlined in CONTRIBUTING.md, including formatting, scope alignment, and category placement.

Pull requests that do not adhere to the contribution guidelines may be closed.