Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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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.
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
Incremental engine for long horizon agents 🌟 Star if you like it!
- ai
- change-data-capture
- data-indexing
- etl
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- bloom
- deep-learning
- distributed-systems
- language-models
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
- data-integration
- high-performance
- offline
- real-time
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
- data
- data-cleaning
- data-pipelines
- data-processing
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
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
- mlops
- machine-learning
- data-science
- production-ready
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 lightweight, streaming-native, multi-protocol gateway for AI, APIs, and real-time data. Route LLM requests across providers, govern MCP tools, and connect Kafka, MQTT, and HTTP through one high-performance engine with shared security and observability.
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
- analytics
- feature-store
- fraud-detection
- python
Reverse ETL for the code-first data stack
- bigquery
- cli
- data-engineering
- dbt
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
- collaborative-editing
- conflict-resolution
- crdt
- data-engineering
Open, audit-grade agentic data quality framework with portable industry packs