android-bootstrap VS metaflow-on-kubernetes-docs

Compare android-bootstrap vs metaflow-on-kubernetes-docs and see what are their differences.

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android-bootstrap metaflow-on-kubernetes-docs
21 1
60 7
- -
1.8 1.8
about 3 years ago about 2 years ago
Kotlin Shell
GNU General Public License v3.0 or later -
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.

android-bootstrap

Posts with mentions or reviews of android-bootstrap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-21.

metaflow-on-kubernetes-docs

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

What are some alternatives?

When comparing android-bootstrap and metaflow-on-kubernetes-docs you can also consider the following projects:

streamlit - Streamlit — A faster way to build and share data apps.

clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

awesome-teachable-machine - Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!

metaflow - Build and manage real-life data science projects with ease.

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

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!

cld3-kotlin - Bindings to Google's Compact Language Detector 3 to JVM Based Languages

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

great_expectations - Always know what to expect from your data.