Metaflow

Metaflow

Netflix
+
+

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About

Successful data science projects are delivered by data scientists who can build, improve, and operate end-to-end workflows independently, focusing more on data science, less on engineering. Use Metaflow with your favorite data science libraries, such as Tensorflow or SciKit Learn, and write your models in idiomatic Python code with not much new to learn. Metaflow also supports the R language. Metaflow helps you design your workflow, run it at scale, and deploy it to production. It versions and tracks all your experiments and data automatically. It allows you to inspect results easily in notebooks. Metaflow comes packaged with the tutorials, so getting started is easy. You can make copies of all the tutorials in your current directory using the metaflow command line interface.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data scientists looking for a framework for real-life Data Science project management solution

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Netflix
United States
metaflow.org

Company Information

scikit-learn
United States
scikit-learn.org/stable/

Alternatives

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Union Cloud

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Flyte

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ML.NET

ML.NET

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MLlib

MLlib

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Keepsake

Keepsake

Replicate

Categories

AI Orchestration Supported
Data Science Supported

Categories

Machine Learning Supported

Integrations

Comet LLM Supported
DagsHub Not Supported
Databricks Not Supported
Flower Not Supported
GLM-5.1 Not Supported
GLM-5.2 Not Supported
GLM-5.3 Not Supported
Guild AI Not Supported
Keepsake Not Supported
MLJAR Studio Not Supported
Matplotlib Not Supported
ModelOp Not Supported
NumPy Not Supported
Python Not Supported
Superwise Supported
Thunder Compute Not Supported
Train in Data Not Supported

Integrations

Comet LLM Not Supported
DagsHub Supported
Databricks Supported
Flower Supported
GLM-5.1 Supported
GLM-5.2 Supported
GLM-5.3 Supported
Guild AI Supported
Keepsake Supported
MLJAR Studio Supported
Matplotlib Supported
ModelOp Supported
NumPy Supported
Python Supported
Superwise Not Supported
Thunder Compute Supported
Train in Data Supported
Claim Metaflow and update features and information
Claim Metaflow and update features and information
Claim scikit-learn and update features and information
Claim scikit-learn and update features and information