First-Class Experiments
Foster a culture of experimentation and rapid innovation by deploying and testing variants easily - while keeping production safely isolated.
Foster a culture of experimentation
While there many ways to ship the first version of any system, are you able to improve it and test new ideas quickly and confidently? This is a true litmus test of a mature data and AI/ML platform.
Winning systems are not perfect initially but they are amenable to continuous improvement.
Explore with confidence
Metaflow provides tools for safe experimentation: Use @project to bundle flows, namespaces to isolate deployments, and tagging to organize work
Deploy A/B experiments and shadow variants without interfering with production. Integrate variants to CI/CD systems to deploy pull requests automatically for testing.
Trusted by the best
Been using metaflow for a while now, and love it. At its best, it hugely speeds up our development cycles
Harvey Pratt
Chief Executive Officer
,
The Promenade AI
The end-to-end ML management in Outerbounds—event triggers, experiment tracking, managed artifacts—was a game-changer for our small team.
Aman Ibrahim
Founder / CEO
,
Deeptrust
Very impressive work! Easily mix multiple Python virtual environments and compute resources within a single pipeline 🤯 using #Metaflow
Samuel Sinayoko
Machine Learning Engineer (ED)
,
J.P.Morgan
Very impressive level of polish in the Metaflow docs/tutorials. Pretty incredible how many details have been abstracted away by Metaflow.
Howard Wu
Analytics Consultant
,
Freelance
Thanks for a fantastic product ❤️
Sam Thelin
Principal AI Scientist and Technical Lead
,
SAP
I really appreciate the clean syntax and the seamless transitioning from dev to dev-at-scale to prod-at-scale
Fabien Pertuy
Machine Learning Principal Scientist
,
Sanofi
Bumped into Metaflow at work, plus @HamelHusain seems excited about it, so I am excited about it 🙂 But after watching the video, wow 😲
Radek Osmulski
Senior Data Scientist
,
NVIDIA
The team has shaved months off the time it takes to build a productionized machine learning model, and at the same time improved the overall collaboration of the data science organization with other departments!
Nicole Murphy
Executive Vice President
,
Realtor.com
Metaflow is such an amazing tool!
Ben Brandt
Software Architect
,
Eventellect
We are saving over 90% of the @awscloud cost in our #artificialintelligence model training phase. We've just finished the automation of our AI pipelines through the implementation of @MetaflowOSS , and the migration from http://H2O.ai
Rafael Garcia Navarro
Chief Data Scientist
,
Provenir
Metaflow has really been helping in speeding up our ds workflows!
Utkarsh Vashisth
Machine Learning Engineer
,
Sanofi
The MLOps piece of tech I'm most excited about is @MetaflowOSS. Just from reading the docs I'm amazed at how a large, enterprise company like Netflix seems to have really, really grasped the developer experience in the way I'd only expect 'smaller' projects to do.
Mark Goodhead
Chief Executive Officer & Co-Founder
,
Synacti
I've been extremely impressed by the Metaflow team. They have built something that's loved by everyone, so much so that they have Metaflow sad hours to encourage people say what can be improved. In my conversations with our users, I've often heard that Metaflow is one of the best software Netflix has ever built.
Nurcan Sonmez
Engineering Manager
,
Netflix
Built with the core idea of allowing ML engineers and data scientists to use Python as native way to work, this friendly approach has tremendously boosted Carsales productivity in ML
Samuel Than
Senior MLOps Engineer
,
Carsales
Metaflow was recommended at work. I spent some time with it today... it's amazing. Their tagline is on-point: "Build and manage real-life data science projects with ease."
Martin Beierling-Mutz
Full Stack Developer
,
Heroic Story
By unifying our data and ML pipelines we can now automatically train models when an underlying warehouse table is updated which drastically improves efficiency and collaboration.
Marc Millstone
Director of Engineering
,
Flexport
MetaFlow has a really fantastic API. Most DAG systems could learn from it.
Tristan Zajonc
Co-Founder & CEO
,
Continual
I love Metaflow!
Deniz Zorlu
Member of Technical Staff
,
Contextual AI
Metaflow has made my daily life as an ML engineer so much easier, especially as we scale our efforts. I've never worked with a framework that works out of the box as well as metaflow.
Mike Bentley Mills
Senior Machine Learning Engineer
,
Valar Labs
Outerbounds was like Metaflow, but with a ‘plus plus’—it made everything easier.
Camelia Hssaine
Head of Data Science
,
Black Crow AI
One of the things I liked about Metaflow from Netflix is their clear documentation on "Dealing with Failures": it's important to raise awareness about "retry" logic, transient/permanent failures, idempotent operations, etc.
Emre Sevinç
Co-Founder & CTO
,
TM Data ICT Solutions
A space I'm excited about: 'open source on top of public cloud tech.' Instead of using open source libraries (which you have to run & scale, e.g. RabbitMQ), it uses infinitely-scalable off-the-shelf cloud services (e.g. SQS). Metaflow is a good example!
Zack Kanter
Founder & CEO
,
Stedi
Thanks for Metaflow: it's a pleasure to use!
Laure Vancau
Biomedical Data Engineer
,
Swiss Data Science Center
Outerbounds has proven to be transformative for us. The platform has allowed us to execute and train models without the burden of worrying about infrastructure
Soma S Dhavala, PhD
Director
,
Wadhwani AI
I've been using Metaflow for years now. I can't endorse it nor the people behind it enough!
Will High
Senior Director, Data Science
,
Tala
Wow I didn't realize how much of the infrastructure needs Metaflow takes care of!
Goku Mohandas
Machine Learning Lead
,
Anyscale
❤️ metaflow! The people-first API design is fantastic.
Adam Laiacano
Principal Engineer, Recsys & MLOps
,
NVIDIA
Metaflow records the result of every step to S3. IMO the ability of metaflow to expose individual components of a complicated process is a big deal. Like, a really big deal.
David Neuzerling
Manager, Econometrics
,
Mastercard
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.
Kelly Davis
Software Engineer
,
CNN
There's a lot of good ideas made practical in Metaflow to help ML projects and developers focus on what's important.
Matthew Seal
Principal Engineer
,
Confluent
In six weeks, a team that hadn’t used Metaflow before was able to build an ML-based model, A/B test its performance, which handily beat the old simple approach, and roll it out to production.
Thanasis Noulas
VP of Engineering
,
Trade Republic
Metaflow has helped us avoid the anti-pattern of needing to push code to find out if something works
David Tan
,
REA
Maybe we'll be talking about this as the "Airflow for Data Science" in a few years. Not replacing Airflow, but in the sense that it's the default standard for orchestrating data science projects like Airflow does for data engineering pipelines.
James Densmore
Director of Engineering
,
HubSpot
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