mlflow-easyauth
Deploy MLflow with HTTP basic authentication using Docker (by soundsensing)
mlflow-tracking-server
This repository hosts the code to make it easier to deploy a customizable and flexible MLflow tracking server solution to your Kubernetes cluster. (by wjayesh)
mlflow-easyauth | mlflow-tracking-server | |
---|---|---|
1 | 1 | |
100 | 1 | |
0.0% | - | |
3.0 | 0.0 | |
9 months ago | almost 2 years ago | |
Shell | Shell | |
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.
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.
mlflow-easyauth
Posts with mentions or reviews of mlflow-easyauth.
We have used some of these posts to build our list of alternatives
and similar projects.
-
hosted/managed MLFlow?
Not fully managed, but we put https://github.com/soundsensing/mlflow-easyauth on Heroku. Heroku manages the OS, database and application lifecycle, logging etc. Much more comfortable than dealing with VMs
mlflow-tracking-server
Posts with mentions or reviews of mlflow-tracking-server.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Not just another MLflow on Kubernetes article
The code in this article is taken from my repository at GitHub. Feel free to experiment with it ๐งช
What are some alternatives?
When comparing mlflow-easyauth and mlflow-tracking-server you can also consider the following projects:
create-react-app-buildpack - โ๏ธ Heroku Buildpack for create-react-app: static hosting for React.js web apps
VevestaX - 2 Lines of code to track ML experiments + EDA + check into Github
flytesnacks - Flyte Documentation ๐
awesome-kubernetes - A curated list for awesome kubernetes sources :ship::tada:
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications