Search and filter curated AI tools. Find the right tool for your task.
Each tool shows verification (how recently we checked the link), link health (whether the URL works), and trust (0–1, combining both). Verified + HTTPS = highest trust. Pending = not yet checked. Stale = last check was 1–3 days ago. Failed = over 3 days.
High-performance time-series database handling millions of data points per second. Ingests data extremely fast with minimal latency. Built for IoT, financial tick data, and monitoring applications. Time-series specific optimizations for fast range and aggregation queries. Includes visualization tools and integrations with monitoring platforms. Used in demanding applications needing real-time data.
Multi-model database supporting documents and graphs with single SQL-like query language. Store data as documents or graphs depending on what fits best. No need to choose between different databases for different data models. Includes built-in REST API for instant HTTP access. Supports full-text search, geospatial queries, and complex analytics. Self-hosted or serverless cloud option.
Distributed SQL database as a service that combines relational and NoSQL benefits. Scales horizontally like NoSQL databases while maintaining SQL and ACID properties. Auto-sharding handles data distribution automatically without complex configuration. Built for handling massive datasets while maintaining transaction consistency. Works with existing MySQL tools and applications. Designed for companies needing both SQL and scale.
Open source serverless search platform combining full-text and vector search capabilities. Index documents and perform keyword searches efficiently. Vector search enables semantic search for AI applications. Built for developers with simple API and low operational complexity. Works with serverless functions and edge computing. Great for applications needing both traditional and AI-powered search.
Time-series database built as extension on PostgreSQL for metrics and event data. Automatically manages data retention and archival. Compresses time-series data to save storage space. Optimizes queries for time-range searches and aggregations. Inherits PostgreSQL reliability and ecosystem. Ideal for monitoring, observability, and IoT applications.
SQLite-compatible distributed database with global edge replication. Deploy database copies to locations worldwide for ultra-low latency reads. Built on proven SQLite technology trusted by billions of devices. Sync writes to primary, read from local copies. Perfect for applications needing read scalability with single source of truth. Ideal for Remix, Next.js, and edge computing applications.
Serverless Redis and Kafka as managed services with zero maintenance. Instant setup with no infrastructure to manage or monitor. Pay per request with free tier for development and testing. Redis provides fast in-memory caching and session storage. Kafka enables reliable event streaming and asynchronous messaging. Perfect for startups and teams avoiding operational overhead.
Serverless database with AI-powered search and analytics.
AWS service using machine learning to help development teams build, test, and deploy applications faster. Provides code generation, automated testing suggestions, and deployment insights. Deep integration with AWS services like Lambda, DynamoDB, and EC2. Connects to GitHub and other code repositories for seamless workflows. Helps teams of any size accelerate development cycles and reduce manual coding work.
AI coding assistant that generates code snippets and complete solutions for developers working across multiple programming languages. Supports JavaScript, Python, Java, C++, Go, Rust, and 30+ other languages. Use it to speed up development, learn new syntax patterns, or debug tricky code. Works with popular frameworks like React, Vue, Django, and Spring. Free tier covers most basic coding needs, with pro plans for teams needing priority support and advanced features.
Open source platform from Spotify for building customizable developer portals. Consolidates all developer tools, documentation, and information into single location. Reduces time developers spend hunting for tools, APIs, and information. Integrates with CI/CD systems, monitoring tools, and service catalogs. Customizable to match team workflows and technology stacks. Used by large engineering organizations to improve developer productivity and satisfaction.
Fast and scalable build system originally developed and used internally by Google for their massive codebases. Handles projects with hundreds of thousands of source files and complex dependencies. Supports multiple programming languages including Java, C++, Python, Go, and more. Uses incremental builds and caching to avoid redundant work. Commonly adopted by companies building large distributed systems and microservices architectures.
Component management platform for building and sharing reusable code across teams and projects. Create a component library, version it independently, and reuse in multiple applications. Handles dependency resolution, versioning, and updates automatically. Works with React, Vue, Angular, Node.js, and other stacks. Solves code duplication problems and improves consistency across engineering teams. Includes package publishing and registry management.
Open source AI code generator built for developers who want local, privacy-first development. Supports 40+ programming languages including Python, JavaScript, Go, Rust, and Java. Generates code completions, whole functions, and algorithms without sending data to external servers. Runs entirely on your machine or self-hosted infrastructure. Great for teams concerned about code privacy or developers working offline. Integrates with popular editors like VS Code.
Online IDE with built-in AI assistance for coding across 20+ programming languages. Debug code, generate solutions, and learn by doing all in one place. No setup required, start coding immediately in the browser. Includes execution environment for testing code instantly. Supports C, C++, Python, JavaScript, Java, C#, SQL, and more. Great for students learning to code, team collaboration, and quick prototyping without local setup.
Portable CI/CD pipelines using containers and code instead of YAML configuration. Define pipelines in your favorite programming language like Python, Go, or TypeScript. Containers ensure consistency between local development and CI/CD execution. Run pipelines locally before pushing to git. Eliminates vendor lock-in and makes pipelines portable across different CI systems. Designed for teams building complex multi-stage deployments.
Open source tool enabling reproducible development environments that work anywhere. Use any container runtime including Docker, Podman, or cloud-based environments. Developers get consistent environments whether working locally or remotely. Eliminates dependency conflicts and inconsistencies between team members. Works with VS Code and other popular editors. Ideal for teams with complex development dependencies or mixed remote and local work.
Open source development environment optimized for Kubernetes. Syncs files between local machine and running containers for instant code updates. Provides remote debugging capabilities for applications running in Kubernetes. Handles container management, port forwarding, and environment setup automatically. Works with any Kubernetes cluster including local and cloud-hosted. Ideal for microservices teams who need fast development feedback loops.
Build automation tool that simplifies containerized builds and standardizes build processes. Define builds once using a simple syntax inspired by Dockerfiles. Automatically caches build layers to speed up repeated builds. Works with Docker, Kubernetes, and any containerized environment. Great for teams standardizing build processes across different services and languages. Reduces build time and ensures reproducible builds across all environments.
Development platform for microservices that accelerates testing and deployment cycles. Syncs code changes to running services instantly for immediate feedback. Works with both local development and remote Kubernetes environments. Reduces context switching between local testing and production deployment. Supports hot-reloading so changes appear without container rebuilds. Designed for teams running dozens of microservices and needing faster feedback loops.
