Cross-platform, customizable ML solutions for live and streaming media.
- mediapipe
- c-plus-plus
- computer-vision
- deep-learning
Repository Index
47,133 repositories indexed
1–24 of 85 · Most stars
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
SubQuery is an Open, Flexible, Fast and Universal data indexing framework for web3. Our mission is to help developers create the decentralised products of the future.
GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more
- go
- golang
- data-structure
- map
The most scalable and reliable MQTT broker for AI, IoT, IIoT and connected vehicles
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
- dbt-viewpoint
- slack
- pypa
- data-modeling
Instant messaging platform. Backend in Go. Clients: Swift iOS, Java Android, JS webapp, scriptable command line; chatbots
- chat
- chat-application
- chatapp
- go
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
- kafka
- cpp
- kubernetes
- go
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
- kedro
- hacktoberfest
- mlops
- 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.
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Efficient reliable UDP unicast, UDP multicast, and IPC message transport
- messaging
- java
- c-plus-plus
- ipc
🪽 An open, easy, fast, reliable and battery-efficient solution for real-time communications
- api
- web-api
- server-sent-events
- subscriptions
The AsyncAPI specification allows you to create machine-readable definitions of your asynchronous APIs.
- asyncapi
- reactive
- specification
- websockets
A light-weight, flexible, and expressive statistical data testing library
- pandas
- validation
- schema
- dataframes
A better compressed bitset in Java: used by Apache Spark, Netflix Atlas, Apache Pinot, Tablesaw, and many others
- java
- bitset
- roaring-bitmaps
- roaringbitmap
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!
- mqtt
- m2m
- scalable
- broker
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.
- distributed-computing
- map-reduce
- golang
- distributed-systems
Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.
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.
- workflow
- governance
- azkaban
- davinci
Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce, Spark, Flink, Storm, etc. I am also working on another similar pure Go system, https://github.com/chrislusf/gleam , which is more flexible and more performant.
In-memory message queue with an Amazon SQS-compatible interface. Runs stand-alone or embedded.
- scala
- sqs-interface
- elasticmq
- amazon-sqs
Self-hosted platform to unify wearable health data through one AI-ready API.
- wearables
- apple-health
- apple-watch
- fitness
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