mlrun vs AquilaHub

mlrun

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications. (by mlrun)

Source Code

mlrun.org

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AquilaHub

Load and serve Neural Encoder Models (by Aquila-Network)

vector-search-engine neural-search personal-search Machine Learning model-serving

Source Code

aquila.network

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mlrun		AquilaHub
	Project
3	Mentions	2
1,287	Stars	2
5.5%	Growth	-
9.9	Activity	2.9
2 days ago	Latest Commit	2 months ago
Python	Language	Python
Apache License 2.0	License	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.

mlrun

Posts with mentions or reviews of mlrun. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-28.

Discussion on Need of Feature Stores
1 project | /r/mlops | 17 Jul 2022
I reviewed 50+ open-source MLOps tools. Here’s the result
3 projects | /r/mlops | 28 May 2022

You should also add MLRun: https://github.com/mlrun/mlrun
Has anyone here been able to deploy Mlrun successfully on Kubernetes cluster?
1 project | /r/mlops | 9 Feb 2021

AquilaHub

Posts with mentions or reviews of AquilaHub. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-19.

More content by people, for people in Search
6 projects | news.ycombinator.com | 19 Aug 2022

At https://aquila.network we’re always thinking of this scenario.
Aquila HUB 0.2.0. is released
1 project | dev.to | 31 Jan 2022

Release notes: https://github.com/Aquila-Network/AquilaHub/releases/tag/v0.2.0 Release blog: https://blog.aquila.network/now-available-aquila-hub-020

What are some alternatives?

When comparing mlrun and AquilaHub you can also consider the following projects:

feast - Feature Store for Machine Learning

ublacklist - Blocks specific sites from appearing in Google search results

dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD

letsblockit - Remove low-quality content and useless nags, focus on what matters. A community-maintained uBlock Origin filter set.

flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

hn-search - Hacker News Search

SmartSim - SmartSim Infrastructure Library.

phidata - Build AI Assistants with function calling and connect LLMs to external tools.

mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

Media-Recommendation-Engine - A Recommendation Engine API that can be used to recommend movies, music, games, manga, anime, comics, tv shows and books. Deployed using an AWS EC2 instance.