The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.
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What is

Give your data team magical powers Integrate and synchronize data from 3rd party sources Build real-time and batch pipelines to transform data using Python, SQL, and R Run, monitor, and orchestrate thousands of pipelines without losing sl is a tool in the Machine Learning Tools category of a tech stack. is an open source tool with 3.8K GitHub stars and 323 GitHub forks. Here’s a link to's open source repository on GitHub

Who uses Integrations's Features

  • Orchestration
  • Notebook
  • Data integrations
  • Streaming
  • DBT Alternatives & Comparisons

What are some alternatives to
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
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