The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 13 model-monitoring Open-Source Projects
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evidently
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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deepchecks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
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eurybia
âš“ Eurybia monitors model drift over time and securizes model deployment with data validation
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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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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inferencedb
🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)
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openllmetry-js
Sister project to OpenLLMetry, but in Typescript. Open-source observability for your LLM application, based on OpenTelemetry
There is MLOps Zoomcamp course (which shows end-to-end MLOps process with open-source MLOps tools) https://github.com/DataTalksClub/mlops-zoomcamp.
Project mention: [P] Free open-source ML observability course: starts October 16 🚀 | /r/MachineLearning | 2023-10-15Hi everyone, I’m one of the creators of Evidently, an open-source (Apache 2.0) tool for production ML monitoring. We’ve just launched a free open course on ML observability that I wanted to share with the community.
Project mention: Detect, Defend, Prevail: Payments Fraud Detection using ML & Deepchecks | dev.to | 2024-01-13Also if you have any confusion related to it. You can directly go to their discussion section in github :
11. Phoenix by Arize AI | Github | tutorial
In order to try to solve this issue, NannyML was created. NannyML is an open-source Python library designed in order to make it easy to monitor drift in the distributions of our model input variables and estimate our model performance (even without labels!) thanks to the Confidence-Based Performance Estimation algorithm they developed. But first of all, why do models need to be monitored and why their performance might vary over time?
Project mention: Show HN: You don't need to adopt new tools for LLM observability | news.ycombinator.com | 2024-02-14So why should it be different when the app you're building happened to be using LLMs?
So today we're open-sourcing OpenLLMetry-JS. It's an open protocol and SDK, based on OpenTelemetry, that provides traces and metrics for LLM JS/TS applications and can be connected to any of the 15+ tools that already support OpenTelemetry. Here's the repo: https://github.com/traceloop/openllmetry-js
A few months ago we launched the python flavor here (https://news.ycombinator.com/item?id=37843907) and we've now built a compatible one for Node.js.
Would love to hear your thoughts and opinions!
Check it out -
Docs: https://www.traceloop.com/docs/openllmetry/getting-started-t...
Github:
Project mention: Call for open source devs to build the future of healthcare! | /r/github | 2023-06-30
model-monitoring related posts
- [P] Free open-source ML observability course: starts October 16 🚀
- Free Open-source ML observability course
- Where do I start to learn MLOPS?
- How to start with MLops
- As an engineer moving into the DS field, I got my first job offer. Does it sound reasonable?
- evidently: Evaluate and monitor ML models from validation to production
- [P] InferenceDB - Makes it easy to store predictions of real-time ML models in S3
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A note from our sponsor - WorkOS
workos.com | 24 Apr 2024
Index
What are some of the best open-source model-monitoring projects? This list will help you:
Project | Stars | |
---|---|---|
1 | mlops-zoomcamp | 8,735 |
2 | evidently | 4,619 |
3 | deepchecks | 3,338 |
4 | phoenix | 2,586 |
5 | nannyml | 1,754 |
6 | openllmetry | 1,195 |
7 | eurybia | 203 |
8 | whitebox | 181 |
9 | inferencedb | 77 |
10 | cyclops | 65 |
11 | openllmetry-js | 33 |
12 | bitbeast | 31 |
13 | reco-model-monitoring | 3 |
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