evidentlyai / evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
☆5,612Updated this week
Alternatives and similar repositories for evidently:
Users that are interested in evidently are comparing it to the libraries listed below
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,676Updated last month
- nannyml: post-deployment data science in python☆2,013Updated this week
- Algorithms for outlier, adversarial and drift detection☆2,284Updated last month
- ZenML 🙏: The bridge between ML and Ops. https://zenml.io.☆4,318Updated this week
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,348Updated 2 weeks ago
- A curated list of awesome MLOps tools☆4,237Updated last month
- A curated list of references for MLOps☆12,751Updated last month
- ♾️ CML - Continuous Machine Learning | CI/CD for ML☆4,056Updated this week
- Algorithms for explaining machine learning models☆2,429Updated last month
- MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integra…☆1,470Updated this week
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,538Updated 3 months ago
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆2,763Updated last week
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!☆7,274Updated this week
- Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.☆5,304Updated this week
- 🌊 Online machine learning in Python☆5,163Updated last month
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆17,830Updated 2 weeks ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,014Updated 5 months ago
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,090Updated this week
- Feature engineering package with sklearn like functionality☆1,972Updated this week
- A Python package to assess and improve fairness of machine learning models.☆1,988Updated this week
- A flexible, intuitive and fast forecasting library☆1,822Updated 7 months ago
- CDF SIG MLOps☆609Updated last month
- Automatically visualize your pandas dataframe via a single print! 📊 💡☆5,241Updated 9 months ago
- 🦉 Data Versioning and ML Experiments☆14,088Updated this week
- This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…☆1,287Updated 2 weeks ago
- Merlion: A Machine Learning Framework for Time Series Intelligence