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Top 22 mlflow Open-Source Projects
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InfluxDB
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LearningSparkV2
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
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optscale
FinOps and MLOps platform to run ML/AI and regular cloud workloads with optimal performance and cost.
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MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
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SaaSHub
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crane
Crane is a easy-to-use and beautiful desktop application helps you build manage your container images. (by InfuseAI)
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whitebox
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes (by squaredev-io)
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mnist-mlops-learning
In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits
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mlf-core
CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.
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mlflow-deployments
Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily deploy them in production later.
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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.
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SaaSHub
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Project mention: Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations | dev.to | 2024-04-26How can this be? The current state of practice in AI/ML work requires adaptivity, which is uncommon in classical computational fields. There are myriad tools that capture the work across the many instances of the AI/ML lifecycle. The idea that any one tool could sufficiently capture the dynamic work is unrealistic. Take, for example, an experiment tracking tool like W&B or MLFlow; some form of experiment tracking is necessary in typical model training lifecycles. Such a tool requires some notion of a dataset. However, a tool focusing on experiment tracking is orthogonal to the needs of analyzing model performance at the data sample level, which is critical to understanding the failure modes of models. The way one does this depends on the type of data and the AI/ML task at hand. In other words, MLOps is inherently an intricate mosaic, as the capabilities and best practices of AI/ML work evolve.
Project mention: Profile and instrument ML experiments and optimize their performance expenses | news.ycombinator.com | 2023-09-27
Lmstudio (that they linked) is definitely not open source, and doesn't even offer a pricing model for business use.
Llmstudio is, but I suspect that was a typo in their comment. https://github.com/TensorOpsAI/LLMStudio
Kubeflow is an ML platform like Sagemaker or Databricks that you can self-host in a Kubernetes cluster.
Installing/deploying it is as complicated as it sounds, but we've put together an infrastructure project that lets you '1-click' install it even in tiny environments.
The GH repo (also linked in blog) allows you to start Kubeflow in a codespace or small device using a docker container -- this is both good for trying it out and developing it into your own internal ML platform.
https://github.com/treebeardtech/kubeflow-helm
Project mention: Show HN: Demo of using DVC and MLFlow for ML experiments | news.ycombinator.com | 2024-01-29
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
mlflow related posts
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Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations
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Explain me how websites like Dall-E, chatgpt, thispersondoesntexit process the user data so quickly
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[D] What licensed software do you use for machine learning experimentation tracking?
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[Q] Is there a tool to keep track of my ML experiments?
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Remote file access vulnerability in `mlflow server` and `mlflow ui` CLIs
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Critical CVE in `mlflow` 2.2.0 and under: Remote file access vulnerability in `mlflow server` and `mlflow ui` CLIs; possible lateral movement into aws creds
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Critical remote unauthenticated system/cloud takeover in major AI tool
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A note from our sponsor - InfluxDB
www.influxdata.com | 6 May 2024
Index
What are some of the best open-source mlflow projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | MLflow | 17,335 |
| 2 | aim | 4,797 |
| 3 | koalas | 3,321 |
| 4 | LearningSparkV2 | 1,095 |
| 5 | optscale | 982 |
| 6 | MLServer | 583 |
| 7 | data-on-eks | 505 |
| 8 | crane | 279 |
| 9 | LLMstudio | 206 |
| 10 | whitebox | 181 |
| 11 | mlflow-easyauth | 100 |
| 12 | mnist-mlops-learning | 99 |
| 13 | domino-research | 76 |
| 14 | mlsync | 68 |
| 15 | mlf-core | 45 |
| 16 | lightning-mlflow-hf | 44 |
| 17 | VevestaX | 27 |
| 18 | kubeflow-bootstrap | 19 |
| 19 | mlflow-deployments | 15 |
| 20 | bunny-party | 10 |
| 21 | MLOps | 7 |
| 22 | mlflow-tracking-server | 1 |
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