Free AI Tools

Open-source network video recorder with real-time AI object detection. Frigate runs on standard hardware with GPU acceleration. Real-time person, car, dog, cat detection using YOLO. Event-based recording saves storage. Mobile app for viewing. REST API. Integration with Home Assistant. Supports multiple camera streams. Privacy-focused local processing. Free and open source. Best for home and small business security.

Toolkit for deploying computer vision and AI models to edge devices optimized for Intel hardware. OpenVINO provides model optimization, inference engine, and tools. Supports TensorFlow, PyTorch, ONNX. Model converter for optimization. Faster inference and lower memory. Works across Intel CPUs, GPUs, VPUs. Scales from data center to edge. Free and open source. Best for deploying vision models to edge devices.

Open-source inference engine for running ONNX models across devices and platforms. ONNX Runtime supports CPUs, GPUs, TPUs, and specialized accelerators. Cross-platform support for Windows, Linux, macOS, mobile. Optimizations for model inference. Quantization and pruning support. C++, C#, Python, Java APIs. Works on edge devices. Community-driven. Free and open source. Best for model interoperability.

Open-source RPA platform for building Python-based automation bots.

High-throughput, low-latency NoSQL database designed for IoT and real-time applications. Scylla handles millions of operations per second with sub-millisecond latency. Drop-in Cassandra replacement. Shard-per-core architecture. Auto-sharding and rebalancing. Consistent hashing. Time-series data support. Replication across data centers. Open-source and commercial. Best for time-series and high-velocity IoT data.

Lightweight machine learning framework for deploying models to mobile and edge devices. TensorFlow Lite provides small model size, fast inference, and offline capability. Supports iOS, Android, embedded Linux. Quantization and pruning for optimization. GPU delegates for acceleration. Neural Network API on Android. Experimental support for microcontrollers. Free and open source. Best for on-device AI.

IoT analytics platform for collecting, visualizing, and analyzing sensor data from connected devices. ThingSpeak offers free and paid channels for storing and accessing device data over the internet. REST API for data collection from any device. Built-in MATLAB analysis for custom computations. Visualization dashboards with customizable charts and widgets. Real-time alerts via email and webhook. Export capabilities for further analysis. Webhook support for external integrations. Integration with Arduino, Raspberry Pi, and other IoT platforms. Free tier with usage limits. Best for hobbyists, students, and small IoT projects. Easy to set up and deploy.

Open-source unified programming model for batch and streaming data processing pipelines. Apache Beam provides a single API for batch and stream processing across multiple runners like Dataflow, Flink, Spark. Supports Java, Python, Go, SQL. Features include stateful processing, cross-language pipelines, and schema registry integration. Strong type safety. Growing library ecosystem. Free and open source. Can run locally for testing. Best for teams needing portability across execution engines. Abstracts infrastructure complexity.

Open-source columnar OLAP datastore for real-time analytics on massive datasets. Apache Druid powers interactive analytics dashboards with millisecond latency. Built-in time-series support. Automatic data rollup for aggregation. Streaming ingestion from Kafka. SQL and native query APIs. Self-healing architecture. Horizontal scalability. Data retention policies. RBAC and audit logging. Free and open source. Best for analytics on time-series data and high-velocity streams. Supports billions of events.

Open-source stream processing framework for real-time data analytics and event-driven applications. Apache Flink processes unbounded data streams with low latency and high throughput. Supports complex event processing, temporal joins, and stateful transformations. Event time semantics for accurate windowing. Scalable to thousands of nodes. APIs in Java, Python, and SQL. Can backprocess historical data. Community-driven development. Free and open source. Best for real-time analytics, fraud detection, anomaly detection. Handles millions of events per second with millisecond latency.

Open-source real-time OLAP datastore for business intelligence and analytics at scale. Apache Pinot powers dashboards and user-facing analytics with sub-second latency. Handles real-time and batch data. Streaming from Kafka and S3. SQL interface with SELECT, JOIN, GROUP BY. Approximate query processing for faster results. Upserts and deletes. Automatic sharding and replication. Free and open source. Handles trillions of events. Best for teams needing user-facing analytics. Used by LinkedIn, Uber, Stripe.

Open-source distributed processing framework available as managed service on major clouds. Apache Spark powers large-scale data processing with SQL, streaming, and machine learning APIs. Supports Java, Python, Scala, R. Handles in-memory processing for speed. Community-driven with extensive library ecosystem. MLlib for machine learning, GraphX for graph processing. Can process petabyte-scale data. Available on Databricks, AWS EMR, Azure HDInsight, Google Cloud Dataproc. Free open-source with managed options. Best for data engineers needing flexible, powerful data transformation.

Platform for building real-time data pipelines and streaming analytics with SQL. Materialize continuously updates SQL views as source data changes. Maintains materialized views for instant query results. Supports streaming from Kafka, PostgreSQL, MySQL. No batch windows needed. SQL-driven development. Open-source and commercial options. Handles complex stateful transformations. Event-driven architecture. Best for teams wanting real-time views without Spark Streaming complexity. Minimal latency from source to results.

Open-source distributed SQL query engine optimized for interactive analytics across data sources. PrestoDB offers fast querying of Hive, HBase, relational databases, and other systems. In-memory processing. ANSI SQL support. Horizontal scaling. Low latency on gigabyte to terabyte queries. Community-driven development. Free and open source. Multiple connectors available. Columnar storage support. Best for analytics teams wanting fast interactive SQL queries. Used by major tech companies.

Open-source streaming database for building real-time data pipelines and applications. RisingWave processes streaming data with SQL, supporting Kafka, Pulsar, and S3. Maintains state for complex queries and joins. Materialized views for efficient incremental updates. ACID semantics. Auto-scaling. Compatible with PostgreSQL. Community-driven. Best for teams building real-time features. Handles millions of events per second. Low memory footprint. Automatic checkpoints.

Open-source MPP analytical database for lightning-fast OLAP workloads. StarRocks delivers subsecond query latency on complex queries. Supports both real-time and batch loading. Vector search for semantic search and retrieval. Supports joins across multiple tables efficiently. Query cache for repeated queries. Supports multiple file formats. Highly scalable to petabytes. Community-driven. Free and open source. Best for analytics teams. Compatible with MySQL protocol. Fast incremental updates.

Open-source distributed SQL query engine for querying data across multiple data sources in a single query. Trino handles Hive, Cassandra, PostgreSQL, MySQL, MongoDB, Elasticsearch, BigQuery, Snowflake. Community-driven. Zero data movement. Fault-tolerant and scalable. ANSI SQL compliance. Federated queries across heterogeneous systems. Flexible connector architecture. Free and open source. Best for teams needing to query data lake, data warehouse, and operational databases together. Thousands of queries per second.

Be My Eyes connects blind and low vision individuals with sighted volunteers and AI for visual assistance in real-time instantly. Mobile video call enables quick help with visual tasks anywhere anytime for immediate support. AI provides immediate answers to visual questions automatically with high accuracy. Free volunteer assistance from community of helpers who care about accessibility. Perfect for independent living and daily activities support enabling confidence. Beautiful, intuitive app makes requesting help simple and straightforward. Works for reading labels, identifying colors, navigating spaces, and countless daily tasks. Available 24/7 with fast response times from volunteers worldwide.

Video relay service and app connecting deaf and hard of hearing users with interpreters. Provides on-demand professional ASL interpreters for video calls and phone communication. Available 24/7 with minimal wait times. Government-funded service providing free access. Provides comprehensive features and support helping professionals and organizations achieve their goals efficiently. This comprehensive platform includes multiple features supporting

Open-source scheduling platform with AI-powered booking optimization.