🌊 Online machine learning in Python
- incremental-learning
- machine-learning
- python
- online-learning
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🌊 Online machine learning in Python
a little task queue for python
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
Event-driven networking engine written in Python.
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.
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).
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Utils for streaming large files (S3, HDFS, gzip, bz2...)
Koalas: pandas API on Apache Spark
Messaging library for Python.
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
WebSocket and WAMP in Python for Twisted and asyncio
CLI task management & automation tool
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
Python Stream Processing
Crossbar.io - WAMP application router
Elyra extends JupyterLab with an AI centric approach.
Python Stream Processing. A Faust fork
Lightweight and extensible compatibility layer between dataframe libraries!
A library for event sourcing in Python.
Python Streaming DataFrames for Kafka
Distributed Deep learning with Keras & Spark
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
MLBox is a powerful Automated Machine Learning python library.