Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
Repository Index
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Cross-platform, customizable ML solutions for live and streaming media.
- mediapipe
- c-plus-plus
- computer-vision
- deep-learning
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
All-in-one IoT Platform - Device management, data collection, processing and visualization.
- visualization
- iot
- iot-platform
- mqtt
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
- python
- luigi
- orchestration-framework
- scheduling
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
Incremental engine for long horizon agents 🌟 Star if you like it!
- ai
- change-data-capture
- data-indexing
- etl
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
Distributed Application Framework for .NET
- masstransit
- rabbitmq
- c-sharp
- azure-service-bus
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.
- camel
- integration
- java
- microservices
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.
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
- security
- kinesis
- serverless
- terraform
IoT Platform Framework
- golang
- iot-platform
- edge-computing
- distributed-systems
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
A framework for building messaging apps with .NET and C#.
- command-processor
- command-dispatcher
- brighter
- asynchronously
Project Flogo is an open source ecosystem of opinionated event-driven capabilities to simplify building efficient & modern serverless functions, microservices & edge apps.
- flogo
- iot
- integration
- golang
A cluster computing framework for processing large-scale geospatial data
- cluster-computing
- spatial-sql
- geospatial
- spatial-analysis
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
- data
- ingestion
- replication
- management
Ruby and Rails efficient Kafka processing framework
- karafka-framework
- kafka
- kafka-client
- kafka-clients
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
- etl
- data-integration
- python
- postgresql
Data processing & ETL framework for Ruby
- etl
- etl-ruby
- ruby
- data