Metaflow
Last updated
, generated by Sumble
Explore more → **Metaflow**
What is Metaflow?
Metaflow is a human-friendly Python/R framework for data science and machine learning. It allows data scientists and engineers to build and manage real-life data science projects. Metaflow provides a unified API to access infrastructure needed to execute complex workflows, from local prototyping to scaling out to the cloud.
What other technologies are related to Metaflow?
Metaflow Competitor Technologies
Luigy
No summary available
Luigi is a Python package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. Similar to Metaflow, but earlier generation.
Kubeflow
Kubeflow is a machine learning toolkit for Kubernetes. It aims to make deployments of machine learning workflows on Kubernetes simple, portable and scalable, similar in scope to Metaflow.
Prefect
Prefect is a workflow orchestration framework designed to build, run, and monitor data pipelines. It competes with Metaflow in the space of workflow management, especially for more complex, real-time workflows.
Airflow
Apache Airflow is a platform to programmatically author, schedule, and monitor workflows. It is a mature workflow orchestration tool, and competes with Metaflow, though Metaflow is more geared towards ML workflows.
Dagster
Dagster is a data orchestrator for machine learning, analytics, and data engineering. It overlaps with Metaflow in its capabilities for data pipeline management and model deployment.
AWS Sagemaker
AWS SageMaker is a fully managed machine learning service. It provides tools for building, training, and deploying machine learning models, and competes with Metaflow as a complete ML platform.
Azure ML
Azure Machine Learning is a cloud-based platform for building, training, and deploying machine learning models, directly competing with Metaflow.
Number of organizations that mention technology
ⓘ Tap on a tech to explore matching organizations
Metaflow Complementary Technologies
MLFlow
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. It can be used with Metaflow for experiment tracking and model deployment.
DVC
DVC is an open-source version control system for machine learning projects. It helps track data, models, and experiments, making it complementary to Metaflow's data and model management features.
Ray
Ray is a framework for building distributed applications. It can be used with Metaflow to scale out computationally intensive tasks, like training models with large datasets.
Number of organizations that mention technology
ⓘ Tap on a tech to explore matching organizations
Which job functions commonly mention Metaflow?
MLOps Engineer
1.2% of all MLOps Engineer jobs mention Metaflow
View 99
jobs on Sumble
Machine Learning
0.3% of all Machine Learning jobs mention Metaflow
View 352
jobs on Sumble
Data Scientist
0.1% of all Data Scientist jobs mention Metaflow
View 129
jobs on Sumble
Data Engineer
119 Data Engineer jobs mention Metaflow
View 119
jobs on Sumble
Data, Analytics & Machine Learning
546 Data, Analytics & Machine Learning jobs mention Metaflow
View 546
jobs on Sumble
Which organizations are mentioning Metaflow?
Summary powered by 
Sumble
Sumble Find the right accounts, contact, message, and time to sell
Whether you're looking to get your foot in the door, find the right person to talk to, or close the deal — accurate, detailed, trustworthy, and timely information about the organization you're selling to is invaluable.
Use Sumble to: