Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
- kafka
- cpp
- kubernetes
- go
Repository Index
47,133 repositories indexed
1–24 of 44 · Most stars
Always know what to expect from your data.
- pipeline-tests
- dataquality
- datacleaning
- datacleaner
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
[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
Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.
- steampipe
- postgresql
- postgresql-fdw
- cloud
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
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.
- camel
- integration
- java
- microservices
Upserts, Deletes And Incremental Processing on Big Data.
- hudi
- apachehudi
- datalake
- bigdata
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.
A light-weight, flexible, and expressive statistical data testing library
- pandas
- validation
- schema
- dataframes
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
- machine-learning
- ml
- model-validation
- data-validation
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.
- dataquality
- spark
- unit-testing
- scala
Database Subsetting and Relational Data Browsing Tool.
Kubernetes-native platform to run massively parallel data/streaming jobs
- kubernetes
- stream-processing
- data-processing
- k8s
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
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.
- clickhouse
- kakfa
- sql
- redpanda
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.
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.
- data-engineering
- data-integration
- data-pipeline
- data-quality
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
- flow
- rust
- rust-lang
- stream
A complete, fully tested and documented data structure library written in pure JavaScript.
- javascript
- data-structures
- collections
- collection
Polo travels through your database and creates sample snapshots so you can work with real world data in development.
- database
- snapshot
- productivity
- activerecord