Always know what to expect from your data.
- pipeline-tests
- dataquality
- datacleaning
- datacleaner
47,133 repositories indexed
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Always know what to expect from your data.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
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.
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.
The P programming language.
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
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.
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.
The open source, cloud native tool for API Mocking and Testing. Microcks is a Cloud Native Computing Foundation incubating project 🚀
Test your code without writing mocks with ephemeral Docker containers 📦 Setup popular services with just a couple lines of code ⏱️ No bash, no yaml, only code 💻
A complete, fully tested and documented data structure library written in pure JavaScript.
zerocode-tdd is a community-developed, free, open-source, outcome-driven automated testing framework for Data Pipelines, ETL, REST API, Kafka(Data Streams), Databases and Load scenarios. all defined in simple JSON or YAML — with zero coding.
PySpark test helper methods with beautiful error messages
Task management system based on .NET 8 with Microservices, DDD, CQRS, Event Sourcing and Testing Concepts
A curated list of awesome system integration software and resources.
Apache Spark testing helpers (dependency free & works with Scalatest, uTest, and MUnit)
Awesome CMS Core is an open source CMS built using ASP.Net Core & ReactJS with module seperation concern in mind and provide lastest trend of technology like .Net Core, React, Webpack, SASS, Background Job, Message Queue.
Lightweight and Extensible Infrastructure for Building Web Applications - Web Application Framework
RabbitMQ wire tap and swiss army knife
k6 extension to load test Apache Kafka with support for various serialization formats, SASL, TLS, compression, Schema Registry client and beyond
BENERATOR is a leading software solution to generate, obfuscate, pseudonymize and migrate data for development, testing, and training purposes with a model-driven approach.
🎀 Just the cutest and tiniest queue/deque implementation!
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk