RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments.
RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.
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DbVisualizer is a universal database client for anyone who works with data, from solo developers and startups to professional teams managing complex environments, including developers, DBAs, analysts, and data engineers working with relational and NoSQL databases. It offers a graphical interface for database development, SQL querying, and data exploration. Key features:
- SQL editor with autocomplete, visual query builders, variables, and execution tools
- AI Assistant for questions, error explanations, and code analysis
- Built-in Git integration for SQL scripts and collaboration
- Customizable layouts, key bindings, and UI themes
- Favorite scripts and database objects for quick access
- Configurable security settings for organizations
Connects to popular databases via JDBC, including MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, and BigQuery. Runs on Windows, macOS, and Linux. 7 million downloads, Pro users in 150 countries.
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marpy
marpy is a browser-based AI coding IDE and deployment platform built specifically for Python web developers. Most vibe-coding tools were built for JavaScript and bolt Python on as an afterthought. marpy is opinionated entirely around Flask, FastAPI, and Django.
Every project gets a managed MariaDB instance with Alembic migrations enforced by default. Destructive commands like DROP TABLE are blocked in production at the platform level, not by a linter you can ignore. The AI assistant indexes the real PyPI docs for every package you install, so it writes against your actual runtime. Bring your own keys for Claude, GPT-4, Gemini, or Groq and pay nothing for AI tokens.
Deploy to isolated Kubernetes namespaces (dev, staging, prod) with preview URLs, SSL, and date-based audit tags that make rollbacks trivial. The IDE includes the Monaco editor, a full terminal, git tooling, and live preview, all in the browser.
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