SavinWhat is Metaflow?
It is a human-friendly Python library that helps scientists and engineers build and manage real-life data science projects. It was originally developed at Netflix to boost productivity of data scientists who work on a wide variety of projects from classical statistics to state-of-the-art deep learning.
Metaflow is a tool in the AI Infrastructure category of a tech stack.
Key Features
End-to-end ML PlatformModel with your favorite toolsPowered by the AWS cloudBattle-hardened at Netflix
Metaflow Pros & Cons
Pros of Metaflow
No pros listed yet.
Cons of Metaflow
No cons listed yet.
Metaflow Alternatives & Comparisons
What are some alternatives to Metaflow?
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
SciPy
Python-based ecosystem of open-source software for mathematics, science, and engineering. It contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
