Build and manage real-life ML, AI, and data science projects with Metaflow.
Metaflow is widely appreciated for its ability to integrate with various cloud platforms like AWS, Azure, and GCP, making it versatile for machine learning and MLOps tasks. Users highlight its recent updates, such as version 2.9's real-time event reaction and the availability of its GUI, which enhance functionality and user experience. Some users praise its features for increasing productivity and accelerating model testing and deployment. Pricing is not explicitly mentioned, but the tool's inclusion in Netflix's security program and its supportive community contribute positively to its overall reputation.
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9,976
1,219 forks
Metaflow is widely appreciated for its ability to integrate with various cloud platforms like AWS, Azure, and GCP, making it versatile for machine learning and MLOps tasks. Users highlight its recent updates, such as version 2.9's real-time event reaction and the availability of its GUI, which enhance functionality and user experience. Some users praise its features for increasing productivity and accelerating model testing and deployment. Pricing is not explicitly mentioned, but the tool's inclusion in Netflix's security program and its supportive community contribute positively to its overall reputation.
Features
Use Cases
Industry
information services
9,976
GitHub stars
20
npm packages
40
HuggingFace models
A great intro to #metaflow by cool folks at @awscloud. Take a look! #MachineLearning #MLOps
A great intro to #metaflow by cool folks at @awscloud. Take a look! #MachineLearning #MLOps
View originalJoin us at #KubeCon for a healthy dose of AI Infrastructure on Kubernetes 🏗️
Join us at #KubeCon for a healthy dose of AI Infrastructure on Kubernetes 🏗️
View originalA major release, Metaflow 2.9, is out today 🎉 New: Build large, advanced ML systems by connecting flows and make them react to events in real-time! 🛰️ https://t.co/mmNKyzfWaY
A major release, Metaflow 2.9, is out today 🎉 New: Build large, advanced ML systems by connecting flows and make them react to events in real-time! 🛰️ https://t.co/mmNKyzfWaY
View originalUse #Airflow and want to ship better #ML & #DataScience projects faster? All the goodness of #Metaflow, now on top of your nearest Airflow cluster!
Use #Airflow and want to ship better #ML & #DataScience projects faster? All the goodness of #Metaflow, now on top of your nearest Airflow cluster!
View originalYou can now develop with Metaflow, deploy and orchestrate on your existing #airflow server ✨ Make data scientists and ML engineers more productive without burdening engineers with migrations 🤗 https
You can now develop with Metaflow, deploy and orchestrate on your existing #airflow server ✨ Make data scientists and ML engineers more productive without burdening engineers with migrations 🤗 https://t.co/hkLcR9grJs
View originalmetaflow ♥️ aws metaflow ♥️ azure metaflow ♥️ gcp
metaflow ♥️ aws metaflow ♥️ azure metaflow ♥️ gcp
View original@hugobowne @driscollis 🤗
@hugobowne @driscollis 🤗
View originalThe Metaflow GUI is now generally available! - here is a sneak peek - https://t.co/6ySXhrDmnW
The Metaflow GUI is now generally available! - here is a sneak peek - https://t.co/6ySXhrDmnW
View originalA #DataScience #HowTo series from one of the very first users of @MetaflowOSS at #Netflix!
A #DataScience #HowTo series from one of the very first users of @MetaflowOSS at #Netflix!
View original"As an informal estimate, our #datascience team believes they were able to test twice as many models in Q1 2021 as they did in all of 2020, with simple experiments that would have taken a week now tak
"As an informal estimate, our #datascience team believes they were able to test twice as many models in Q1 2021 as they did in all of 2020, with simple experiments that would have taken a week now taking half a day." - CNN 🤯 https://t.co/KMNSv1jZkj #MachineLearning #MLOps
View originalThat’s right! https://t.co/CBQArxqstt
That’s right! https://t.co/CBQArxqstt
View originalhttps://t.co/rj6XaMDR2X #mlops #metaflow #MachineLearning
https://t.co/rj6XaMDR2X #mlops #metaflow #MachineLearning
View originalRepository Audit Available
Deep analysis of Netflix/metaflow — architecture, costs, security, dependencies & more
Metaflow uses a tiered pricing model. Visit their website for current pricing details.
Key features include: Easy to use API for building ML workflows, Automatic data versioning and tracking, Local testing and debugging capabilities, Support for Jupyter notebooks for exploration, Seamless integration with AWS for scaling, Built-in support for data pipelines, Flexible deployment options, Rich visualization tools for results analysis.
Metaflow is commonly used for: Develop with Metaflow.
Metaflow integrates with: AWS S3, AWS Lambda, Kubernetes, Docker, Pandas, NumPy, Matplotlib, TensorFlow, PyTorch, Scikit-learn.
Metaflow has a public GitHub repository with 9,976 stars.
Based on 25 social mentions analyzed, 8% of sentiment is positive, 92% neutral, and 0% negative.
