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)
Our great sponsors
| mlflow-easyauth | mlflow-tracking-server | |
|---|---|---|
| 1 | 1 | |
| 100 | 1 | |
| 1.0% | - | |
| 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 🧪
What are some alternatives?
When comparing mlflow-easyauth and mlflow-tracking-server you can also consider the following projects:
create-react-app-buildpack - ⚛️ 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 📖
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