Showing 181-200 of 299 projects
The Feldera Incremental Computation Engine is a Rust-based library for building real-time data pipelines and materialized views.
A Python library for extracting data and LLM outputs from various document types with ease.
A Go toolkit for building clean, composable, and concurrent applications using channels.
High-performance messaging pipeline for .NET and Unity, enabling efficient in-memory and distributed communication.
A minimal yet professional single agent demo project showcasing the core execution pipeline and production-grade features of AI agents.
Genie is a distributed big data orchestration service that helps manage and execute complex data pipelines.
An open-source, community-driven platform for data-intensive scientific analysis and visualization.
A distributed, fault-tolerant pipeline for observability data written in Go.
Powerful, fast, and efficient unstructured data extraction library written in Rust with language bindings.
Obsolete home for Jenkins Pipeline plugins, providing a plugin-based approach to using code to define, run, and visualize continuous delivery pipelines.
Distributed high-performance data integration engine for batch, streaming, and incremental scenarios.
A programmable observability pipeline that supports various data sources like Prometheus, Loki, and OpenTelemetry.
A cookbook for building FDA, HIPPA, and HL7 compliant Node.js/JavaScript applications using the FHIR standard.
An open-source system for containerized app management, from build to scaling, using Go and Kubernetes.
Open-source RISC-V CPU Core (RV32IM) for ASIC and FPGA development
MLRun is an open-source MLOps platform for building and managing continuous ML applications.
Automated machine learning for analytics & production use cases powered by popular ML libraries.
Powerful CI/CD server with high availability, parallel processing, and auto-scaling for DevOps teams.
Open-source reverse ETL tool for data activation and customer data platform integration.
Concurrent data pipelines in Python for building efficient and scalable data processing workflows.
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