What is Sematic?
It is an open-source development toolkit to help Data Scientists and Machine Learning (ML) Engineers prototype and productionize ML pipelines in days not weeks. It is based on experience building ML infrastructure at leading tech companies.
Sematic is a tool in the Development & Training Tools category of a tech stack.
Key Features
Develop and run ML pipelines using native Python functions, no new DSL to learnMonitor, visualize, and track all inputs and outputs of all pipeline steps in a slick UICollaborate with your team to keep the discussion close to the pipeline as opposed to scattered elsewhereExecute your pipelines locally or in your cloud
Sematic Pros & Cons
Pros of Sematic
No pros listed yet.
Cons of Sematic
No cons listed yet.
Sematic Alternatives & Comparisons
What are some alternatives to Sematic?
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.
