Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- airflow
- apache
- apache-airflow
- python
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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.
- orchestration
- data-orchestration
- high-availability
- infrastructure-as-code
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
- deep-learning
- document-parsing
- machine-learning
- nlp
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
LittleHorse Server: Business-as-Code Platform for Microservices, Workflows, and Agents
The type-safe, event-driven workflow orchestration library that scales with your business. Build robust, distributed workflows in Go with compile-time safety, automatic retries, and horizontal scaling out of the box. Integrate with your existing tech stack using adapters 🚀
- eventdrivenarchitecture
- golang
- kafka
- reflex
StreamFlow™ is a stream processing tool designed to help build and monitor processing workflows.
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
- python3
- data-science
- machine-learning
- python
state machine which runs code
- golang
- workflows
- state-machine
- actor-model
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
- fairness
- fairness-ml
- fairness-ai
Distributed batch data processing framework
A library to build and execute typed scientific workflows