Orchestrate everything, everywhere. The open-source control plane for workflows across data, infrastructure, business processes and AI agents. Declarative YAML, event-driven, any language, Git-versioned, scalable to millions of executions.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
SubQuery is an Open, Flexible, Fast and Universal data indexing framework for web3. Our mission is to help developers create the decentralised products of the future.
Logstash - transport and process your logs, events, or other data
Roadmap to becoming a data engineer in 2021
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
A distributed, fast open-source graph database featuring horizontal scalability and high availability
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
Connect APIs, remarkably fast. Free for developers.
httpx is a fast and multi-purpose HTTP toolkit that allows running multiple probes using the retryablehttp library.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Efficient reliable UDP unicast, UDP multicast, and IPC message transport
🪓 An orchestration engine for background tasks, AI agents, and durable workflows
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
The Open Source Feature Store for AI/ML
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
The leader in Customer Data Infrastructure
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
The polyglot queue: Fast and reliable background jobs in Go, Java, JS, Ruby, and Rust on Postgres/SQLite.
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
Distributed stream processing engine in Rust
Restate is the platform for building resilient applications that tolerate all infrastructure faults w/o the need for a PhD.
Near-zero config .NET library that makes advanced application features like Task Scheduling, Caching, Queuing, Event Broadcasting, and more a breeze!
The Hunting ELK