evidentlyai / evidentlyLinks
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.
☆7,084Updated this week
Alternatives and similar repositories for evidently
Users that are interested in evidently are comparing it to the libraries listed below
Sorting:
- ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.☆5,194Updated this week
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,973Updated last month
- nannyml: post-deployment data science in python☆2,124Updated 6 months ago
- A curated list of awesome MLOps tools☆5,013Updated last month
- Algorithms for outlier, adversarial and drift detection☆2,483Updated last month
- 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models☆3,133Updated last week
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,476Updated this week
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!☆8,410Updated this week
- An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model perf…☆2,794Updated last year
- A curated list of references for MLOps☆13,685Updated last year
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,291Updated last year
- ♾️ CML - Continuous Machine Learning | CI/CD for ML☆4,165Updated 8 months ago
- ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling …☆6,486Updated last week
- The Open Source Feature Store for AI/ML☆6,683Updated this week
- Algorithms for explaining machine learning models☆2,606Updated 3 months ago
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models☆4,715Updated this week
- MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integra…☆1,649Updated this week
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,194Updated this week
- Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuni…☆3,292Updated 3 weeks ago
- Source code accompanying O'Reilly book: Machine Learning Design Patterns☆2,058Updated 4 years ago
- An open-source, low-code machine learning library in Python☆9,684Updated 9 months ago
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,621Updated 8 months ago
- Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets☆4,847Updated last week
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,240Updated 7 months ago
- dstack is an open-source control plane for running development, training, and inference jobs on GPUs—across hyperscalers, neoclouds, or o…☆2,022Updated this week
- ☆8,561Updated last year
- Synthetic data generation for tabular data☆3,407Updated this week
- Visualize and compare datasets, target values and associations, with one line of code.☆3,080Updated last year
- Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.☆5,981Updated this week
- MLOps examples☆2,073Updated last year