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Top 8 data-drift 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
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.
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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.
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 :
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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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Project mention: Exploring Open-Source Alternatives to Landing AI for Robust MLOps | dev.to | 2023-12-13
Numerous tools exist for detecting anomalies in time series data, but Alibi Detect stood out to me, particularly for its capabilities and its compatibility with both TensorFlow and PyTorch backends.
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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?
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awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
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eurybia
⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
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Project mention: Frouros: An open-source Python library for drift detection in machine learning | news.ycombinator.com | 2024-04-06
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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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Project mention: Call for open source devs to build the future of healthcare! | /r/github | 2023-06-30
data-drift related posts
- Integrating Spade: Synthesizing Assertions for LLMs into My OSS Project
- Sharing learnings from evaluating Million+ LLM responses
- [P] Free open-source ML observability course: starts October 16 🚀
- Free Open-source ML observability course
- Show HN: UpTrain (YC W23) – open-source tool to evaluate LLM response quality
- Introducing UpTrain - Open-source LLM evaluator 🔎
- Launching UpTrain - an open-source LLM testing tool to help check the performance of your LLM applications
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A note from our sponsor - WorkOS
workos.com | 17 Apr 2024
Index
What are some of the best open-source data-drift projects? This list will help you:
Project | Stars | |
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1 | evidently | 4,591 |
2 | deepchecks | 3,323 |
3 | alibi-detect | 2,074 |
4 | nannyml | 1,746 |
5 | awesome-open-data-centric-ai | 674 |
6 | eurybia | 201 |
7 | frouros | 158 |
8 | cyclops | 65 |