Real Time Analytics
Showing 33 of 69 projects
An open-source real-time stream processing framework combining high-throughput event processing with low-latency SQL-like streaming queries.
A stream processing tool with a web interface for building and monitoring Apache Storm workflows using drag-and-drop components.
A distributed streaming machine learning framework for mining big data streams with abstraction over processing engines.
A Python toolkit for developing, testing, and managing Apache Storm streaming data processing topologies.
A collection of connectors enabling Apache HBase integration with Kafka, Spark, and other data processing systems.
An intelligent Claude API proxy with load balancing across multiple accounts, real-time analytics, and multi-provider support.
A real-time sentiment analysis and visualization tool for social media data, rendering live charts to identify trends.
A lightweight stream processing engine designed specifically for IoT data processing and analytics.
A sample application demonstrating real-time data processing and visualization using Amazon Kinesis, DynamoDB, and a web server.
A Java framework for creating real-time time series aggregations from Amazon Kinesis streams.
A Ruby interface for the Amazon Kinesis Client Library, enabling developers to build robust streaming data applications.
A JMeter listener plugin that sends test results to InfluxDB v2.0 for real-time monitoring and visualization in Grafana.
A MapReduce-style framework for processing fast/streaming data, implementing the MapUpdate model.
A Storm spout that fetches data records from Amazon Kinesis and emits them as tuples for real-time stream processing.
A distributed stream processing system written in Haskell that guarantees exactly-once semantics.
An open-source visualization and debugging platform for robotics development.
.NET Standard client library for sending and receiving events with Azure Event Hubs.
A multi-core stream processing engine for high-throughput window aggregation with optional exactly-once fault tolerance.
A curated list of awesome projects, tools, and integrations related to the TDengine time-series database.
A lightweight SQL-based stream processing engine for IoT edge, enabling real-time data transformation and windowed aggregation.
Ruby agent for sending custom application metrics to the Instrumental monitoring platform with high reliability and non-blocking operation.
A Node.js framework for building machine-learning bots with a modular event handling and data processing pipeline.
A window-based hybrid stream processing engine that leverages both CPU and GPU resources for high-performance data analytics.
A distributed platform for processing continuous unbounded streams of data with a clean API and fault tolerance.
Observability tool for Cosmos and other Tendermint-based blockchain applications.
A k6 extension for real-time output of load test metrics to StatsD services.
A dynamic framework for processing high-volume data streams with subsecond pipeline instantiation and modification latency.
A Scala sample application demonstrating Spark Streaming integration with Kafka and Cassandra for data processing.
A fast Go implementation of HeavyKeeper-based top-K sketches, including sliding-window variants for real-time data streams.
A Sitecore XM Cloud Marketplace module for integrating and visualizing Google Analytics data directly within the platform.
Performance monitoring and error tracking for Meteor applications.
A Pulsar connector for bidirectional data streaming between Apache Pulsar and TDengine time-series database.
A Shopify Hydrogen demo store showcasing Dynamic Yield API integration for personalized e-commerce experiences.
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