GitBook: [master] one page modified

mlops-monitoring-and-alerts.md

@@ -22,5 +22,15 @@
 5. **Drift estimator between data sets using random forest, formula is in the medium article above, code here at** [**mlBOX**](https://github.com/AxeldeRomblay/MLBox/blob/811dbcb04fc7f5501e82f3e78aa6c119f426ee78/python-package/mlbox/preprocessing/drift/drift_estimator.py)
 6. [**Alibi-detect**](https://docs.google.com/document/d/1dXELAcJn9KCPSRMDvZoumUyHx8K8Yn7wfFxesSpbNCM/edit#heading=h.y6mpsp4co5t9) **- is an open source Python library focused on outlier, adversarial and drift detection.**
 
-![](https://lh4.googleusercontent.com/sASV5qq3CTmv0gx6Tl3DiwACMnwsW9wj1yNHF5sFIFbQr4BFFgAVgfcWsnrHxNnQtQKa-b5-IdbC-OElnQIr117lxaH3TGCuz1CmpgU6mof3i9VkPR3LyzdD9S0ujTmWj7o88Iep)
+![Alibi Detection Drift Features](https://lh4.googleusercontent.com/sASV5qq3CTmv0gx6Tl3DiwACMnwsW9wj1yNHF5sFIFbQr4BFFgAVgfcWsnrHxNnQtQKa-b5-IdbC-OElnQIr117lxaH3TGCuz1CmpgU6mof3i9VkPR3LyzdD9S0ujTmWj7o88Iep)
+
+### Tool Comparisons
+
+1. [State of MLOps](https://www.stateofmlops.com) \(by me\), [medium](https://towardsdatascience.com/mlops-monitoring-market-review-66904f0863bb) article, open-source [AirTable](https://airtable.com/shr4rfiuOIVjMhvhL).
+2. [Neptune.AI](https://mlops.neptune.ai/) mlops tools landscape
+3. [Twimlai](https://twimlai.com/solutions/) ML AI solutions
+4. [Ambiata](https://www.ambiata.com/blog/2020-12-07-mlops-tools/) how to choose the best MLOps tools
+5. [Lakefs](https://lakefs.io/the-state-of-data-engineering-in-2021/) on the state of data engineering - has monitoring and observability inside
+6. [The NLP Pandec](https://github.com/ivan-bilan/The-NLP-Pandect#mlops-for-nlp) - mlops for nlp
+7. [ml-ops.org](https://ml-ops.org/)