Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
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.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build 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).
Blazing-fast, Neuro-symbolic Data-Wrangling toolkit
Self-hosted platform to unify wearable health data through one AI-ready API.
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.
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Data processing & ETL framework for Ruby
Python Streaming DataFrames for Kafka
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
visual data prep powered by python
Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
🌱 The ultimate solution for populating your MongoDB database.
Powerful CSV & Excel Import experience for SaaS 🚀 Save months building data import experience from scratch 💰
Universal BLE Smart Scale bridge. Captures body composition from Renpho, Xiaomi & 20+ others, syncs to Garmin Connect, Strava, MQTT (Home Assistant), InfluxDB, Webhooks, Ntfy & local files (CSV/JSONL). Headless CLI for Raspberry Pi, Linux, macOS & Windows.
📜 A CLI toolkit for extracting and working with your digital history
A plugin to push to Algolia based on graphQl queries
Friendly utility to load your on-prem data, whether large or small, to Einstein Analytics Datasets, with useful features such as autoloading, dataflow control and dataset inspection.
This is a library that provides generic functionalities for the implementation of imports. In addition to maximum performance and optimized memory consumption, Pacemaker can also be used to implement imports in distributed scenarios that place the highest demands on speed and stability.
High performant ETL engine written in TypeScript
R COBOL DI (Data Integration) Package : Import COBOL CopyBook data files directly into R as properly structured data frames.