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 180 complete days
1–100 of 190 by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
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.
Incremental engine for long horizon agents 🌟 Star if you like it!
Cross-platform, customizable ML solutions for live and streaming media.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Apache Kafka - A distributed event streaming platform
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Apache Spark - A unified analytics engine for large-scale data processing
High-Performance server for NATS.io, the cloud and edge native messaging system.
Diskless Kafka® on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability.
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.
Apache Iggy: Hyper-Efficient Message Streaming at Laser Speed
An orchestration platform for the development, production, and observation of data assets.
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
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.
Change data capture for a variety of databases. Please log issues at https://github.com/debezium/dbz/issues.
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.
IM Chat OpenClaw
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
Always know what to expect from your data.
World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Kubernetes-native platform to run massively parallel data/streaming jobs
The Open Source Feature Store for AI/ML
Efficient reliable UDP unicast, UDP multicast, and IPC message transport
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.
Open-Source Web UI for Apache Kafka Management
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
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.
Build, Manage and Deploy AI/ML Systems
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.
Golang client for NATS, the cloud native messaging system.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
TranslatedAlibaba's MySQL binlog incremental subscription & consumption component
Upserts, Deletes And Incremental Processing on Big Data.
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.
Apache Pulsar - distributed pub-sub messaging system
Distributed stream processing engine in Rust
Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.
The AsyncAPI specification allows you to create machine-readable definitions of your asynchronous APIs.
Apache Beam is a unified programming model for Batch and Streaming data processing.
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
Apache DataFusion Ballista Distributed Query Engine
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.
Apache KIE (Knowledge Is Everything) is the home of Drools, OptaPlanner, jBPM, and Kogito.
In-memory message queue with an Amazon SQS-compatible interface. Runs stand-alone or embedded.
Ultra quick message queue and streaming server
Distributed Application Framework for .NET
A better compressed bitset in Java: used by Apache Spark, Netflix Atlas, Apache Pinot, Tablesaw, and many others
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
A cluster computing framework for processing large-scale geospatial data
Micro second messaging that stores everything to disk
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.
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.
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
Python Stream Processing
High-performance, time-indexed object storage for robotics and industrial IoT
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!
IoT Platform Framework
Nessie: Transactional Catalog for Data Lakes with Git-like semantics
Database Subsetting and Relational Data Browsing Tool.
Franz is a free messaging app for services like WhatsApp, Slack, Messenger and many more.
Lightweight data stream processing engine for IoT edge
Apache Kyuubi is a distributed and multi-tenant gateway to provide serverless SQL on data warehouses and lakehouses.
A modern high-performance open source message queuing system
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
The leader in Customer Data Infrastructure
🏎️ Streams & Reactive Programming paradigm for Go: declarative and composable API for event-driven applications
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.
Concurrent and multi-stage data ingestion and data processing with Elixir
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
Kroxylicious, the snappy open source proxy for Apache Kafka®
AI Infra / AI Orchestration / AI Control Plane
Apache Ignite
For SwiftUI apps - a primitive component to make Chat-UI with stable prepending - no scroll jumps when loading older messages.
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
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.
Python Streaming DataFrames for Kafka
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
CMAK is a tool for managing Apache Kafka clusters
EventMesh is a new generation serverless event middleware for building distributed event-driven applications.
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Karapace - Your Apache Kafka® essentials in one tool
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!