What is Mage.ai?
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
Mage.ai is a tool in the Machine Learning Tools category of a tech stack.
Mage.ai is an open source tool with 3.8K GitHub stars and 323 GitHub forks. Here’s a link to Mage.ai's open source repository on GitHub
Who uses Mage.ai?
Mage.ai's Features
- Orchestration
- Notebook
- Data integrations
- Streaming
- DBT
Mage.ai Alternatives & Comparisons
What are some alternatives to Mage.ai?
TensorFlow
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
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
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
CUDA
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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