1.OpenDCAI / DataFlow
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
- data
- data-cleaning
- data-pipelines
- data-processing
- data-science
- data-synthesis
- +7 more
Ranked by Attention Score: stars gained over the last 7 complete days
1–100 of 105 by Attention Score · Oct 28, 2026 – Nov 3, 2026 (UTC)
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Cross-platform, customizable ML solutions for live and streaming media.
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.
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Apache Spark - A unified analytics engine for large-scale data processing
High-Performance server for NATS.io, the cloud and edge native messaging system.
Incremental engine for long horizon agents 🌟 Star if you like it!
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.
Change data capture for a variety of databases. Please log issues at https://github.com/debezium/dbz/issues.
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
An orchestration platform for the development, production, and observation of data assets.
IM Chat OpenClaw
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Scalable real-time messaging server in a language-agnostic way. Self-hosted alternative to Pubnub, Pusher, Ably, socket.io, Phoenix.PubSub, SignalR. Set up once and forever.
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
Apache Iggy: Hyper-Efficient Message Streaming at Laser Speed
Build, Manage and Deploy AI/ML Systems
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.
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Efficient reliable UDP unicast, UDP multicast, and IPC message transport
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
Apache DataFusion Ballista Distributed Query Engine
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Always know what to expect from your data.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Apache Beam is a unified programming model for Batch and Streaming data processing.
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.
Distributed stream processing engine in Rust
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
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.
Python Stream Processing
TranslatedAlibaba's MySQL binlog incremental subscription & consumption component
Apache Kyuubi is a distributed and multi-tenant gateway to provide serverless SQL on data warehouses and lakehouses.
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.
The Open Source Feature Store for AI/ML
Golang client for NATS, the cloud native messaging system.
Upserts, Deletes And Incremental Processing on Big Data.
The AsyncAPI specification allows you to create machine-readable definitions of your asynchronous APIs.
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.
Eclipse iceoryx™ - true zero-copy inter-process-communication
Open-source IoT Gateway - integrates devices connected to legacy and third-party systems with ThingsBoard IoT Platform using Modbus, CAN bus, BACnet, BLE, OPC-UA, MQTT, ODBC and REST protocols.
Lightweight data stream processing engine for IoT edge
Micro second messaging that stores everything to disk
Database Subsetting and Relational Data Browsing Tool.
In-memory message queue with an Amazon SQS-compatible interface. Runs stand-alone or embedded.
Kubernetes-native platform to run massively parallel data/streaming jobs
Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match
This repo maintains DM (a data migration platform) and TiCDC (change data capture for TiDB)
Distributed Application Framework for .NET
Apache Ignite
Franz is a free messaging app for services like WhatsApp, Slack, Messenger and many more.
A better compressed bitset in Java: used by Apache Spark, Netflix Atlas, Apache Pinot, Tablesaw, and many others
A distributed MQTT message broker based on Erlang/OTP. Built for high quality & Industrial use cases. The VerneMQ mission is active & the project maintained. Thank you for your support!
DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.
A modern high-performance open source message queuing system
IoT Platform Framework
Python Streaming DataFrames for Kafka
Nessie: Transactional Catalog for Data Lakes with Git-like semantics
Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.
Framework for building Event-Driven Microservices
The ultimate distributed MQTT broker. Handles 100M+ connections and 10M msg/sec with ease. Built on Kafka to provide industrial-grade persistence and eliminate data loss.
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
🏎️ Streams & Reactive Programming paradigm for Go: declarative and composable API for event-driven applications
Open-Source Web UI for Apache Kafka Management
The leader in Customer Data Infrastructure
AI Infra / AI Orchestration / AI Control Plane
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.
Machine learning platform for Web developers
A cluster computing framework for processing large-scale geospatial data
:elephant: Elasticsearch real-time search and analytics natively integrated with Hadoop
Distributed Big Data Orchestration Service
EventMesh is a new generation serverless event middleware for building distributed event-driven applications.
Distributed Stream Processing
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
mangos is a pure Golang implementation of nanomsg's "Scalablilty Protocols"
pyspark methods to enhance developer productivity 📣 👯 🎉
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Lightweight message bus interface for .NET (pub/sub and request-response) with transport plugins for popular message brokers.
An open source, a high-performance hybrid integration platform that allows developers quick integration with any application, data, or system.
High-performance, time-indexed object storage for robotics and industrial IoT
TranslatedModern Reactive CQRS Architecture Microservice development framework based on DDD and EventSourcing
go-etl is a toolset for data extraction, transformation and loading.