Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Cross-platform, customizable ML solutions for live and streaming media.
Apache Kafka - A distributed event streaming platform
A modern replacement for Redis and Memcached
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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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.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Apache Flink
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Dapr is a portable runtime for building distributed applications across cloud and edge, combining event-driven architecture with workflow orchestration.
A realtime distributed messaging platform
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
Declarative Continuous Deployment for Kubernetes
Redisson: Valkey & Redis Java Client and Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Extends Valkey and Redis with over 60 objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache..
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
A high-performance observability data pipeline.
Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.