metaflow VS wave

Compare metaflow vs wave and see what are their differences.

metaflow

Build and manage real-life data science projects with ease. (by zillow)
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SaaSHub helps you find the best software and product alternatives
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metaflow wave
1 21
6 3,864
- 0.8%
8.2 9.1
28 days ago 8 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

metaflow

Posts with mentions or reviews of metaflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-30.

wave

Posts with mentions or reviews of wave. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-01.

What are some alternatives?

When comparing metaflow and wave you can also consider the following projects:

BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!

streamlit - Streamlit β€” A faster way to build and share data apps.

feast - Feature Store for Machine Learning

reactpy - It's React, but in Python

metaflow-on-kubernetes-docs - Documentation For Running Metaflow on Kubernetes

gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

kedro-great - The easiest way to integrate Kedro and Great Expectations

nicegui - Create web-based user interfaces with Python. The nice way.

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

dephell - :package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.

great_expectations - Always know what to expect from your data.

pglet - Pglet - build internal web apps quickly in the language you already know!