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Pros of Metaflow
Pros of TensorFlow
Pros of Metaflow
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Pros of TensorFlow
- High Performance22
- Connect Research and Production16
- Deep Flexibility13
- True Portability9
- Auto-Differentiation9
- High level abstraction2
- Easy to use2
- Powerful1
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Cons of Metaflow
Cons of TensorFlow
Cons of Metaflow
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Cons of TensorFlow
- Hard8
- Hard to debug5
- Documentation not very helpful1
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What 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.
What is TensorFlow?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
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Jobs that mention Metaflow and TensorFlow as a desired skillset
What companies use Metaflow?
What companies use TensorFlow?
What companies use TensorFlow?
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What tools integrate with Metaflow?
What tools integrate with TensorFlow?
What tools integrate with Metaflow?
No integrations found
What tools integrate with TensorFlow?
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Blog Posts
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What are some alternatives to Metaflow and TensorFlow?
Airflow
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
Kubeflow
The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.
Luigi
It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
MLflow
MLflow is an open source platform for managing the end-to-end machine learning lifecycle.
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.
Interest over time
News about Metaflow
More newsNews about TensorFlow
Optimizing Machine Learning with TensorFlow
(www.activestate.com)
Nov 22, 2017
Google Announces TensorFlow Release 1.4
(www.programmableweb.com)
Nov 8, 2017
Google Announces Developer Preview of TensorFlow Lite
(www.programmableweb.com)
Nov 15, 2017
Using TensorFlow for Predictive Analytics with Linear Regression
(www.activestate.com)
Oct 17, 2017
Using Pre-Trained Models with TensorFlow in Go
(www.activestate.com)
Aug 18, 2017