inferencedb VS mlrun

Compare inferencedb vs mlrun and see what are their differences.

inferencedb

🚀 Stream inferences of real-time ML models in production to any data lake (Experimental) (by aporia-ai)
Machine Learning model-serving Kafka S3 model-monitoring Mlops
Source Code
Suggest alternative
Edit details

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)
Mlops Python Data Science Machine Learning data-engineering experiment-tracking model-serving mlops-workflow Workflow Kubernetes
Source Code
mlrun.org
Suggest alternative
Edit details
InfluxDB
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
inferencedb mlrun
9 3
77 1,294
- 6.0%
0.0 9.9
almost 2 years ago 2 days ago
Python Python
GNU General Public License v3.0 or later 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.

inferencedb

Posts with mentions or reviews of inferencedb. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

kfserving - Standardized Serverless ML Inference Platform on Kubernetes [Moved to: https://github.com/kserve/kserve]

feast - Feature Store for Machine Learning

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

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

SmartSim - SmartSim Infrastructure Library.

phidata - Build AI Assistants with memory, knowledge and 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.

loopquest - A Production Tool for Embodied AI

AquilaHub - Load and serve Neural Encoder Models

inferencedb vs kfserving mlrun vs feast mlrun vs dagster-example-pipeline mlrun vs flyte mlrun vs SmartSim mlrun vs phidata mlrun vs mosec mlrun vs ploomber mlrun vs Prefect mlrun vs Media-Recommendation-Engine mlrun vs loopquest mlrun vs AquilaHub