Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。
- agent-framework
- data-analysis
- multi-agent-system
- nlp
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
🕸️ Web apps in pure Python 🐍
- python
- framework
- open-source
- gui
Data Apps & Dashboards for Python. No JavaScript Required.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Convert Machine Learning Code Between Frameworks
- python
- tensorflow
- pytorch
- numpy
Low-code framework for building custom LLMs, neural networks, and other AI models
A unified framework for machine learning with time series
- time-series
- machine-learning
- scikit-learn
- time-series-classification
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
- cntk
- visualization
- tensorflow
- model-converter
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
- security
- kinesis
- serverless
- terraform
No-code in the front, Python in the back. An open-source framework for creating data apps.
- data-apps
- data-visualization
- python
- websockets
NFStream: a Flexible Network Data Analysis Framework.
- data-science
- data-analysis
- data-mining
- network-analysis
An all-inclusive Python framework for the Riot Games League of Legends API. Cass focuses on making the data easy and fun to work with, while providing all the tools necessary to create a website or do data analysis.
- league-of-legends
- riot-games-api
- champion-gg-api
- python
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
- deep-learning
- agriculture
- pytorch
- dataset
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
- python
- sklearn
- data-science
- framework
Easy to use test framework for Jupyter Notebooks
- jupyter-notebooks
- unittest
Maze Applied Reinforcement Learning Framework
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
- python3
- data-science
- machine-learning
- python
Automated Testing for Set-Top Boxes and Smart TVs
- python
- test-automation
- set-top-box
- remote-control
Autonomous multi-agent framework to optimize scientific software
- acceleration
- agentic-ai
- ai-agents
- bioinformatics