whylabs / whylogsLinks
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
☆2,766Updated 10 months ago
Alternatives and similar repositories for whylogs
Users that are interested in whylogs are comparing it to the libraries listed below
Sorting:
- Profile and monitor your ML data pipeline end-to-end☆177Updated 4 years ago
- nannyml: post-deployment data science in python☆2,104Updated 4 months ago
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,117Updated last week
- MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integra…☆1,610Updated this week
- ☆703Updated 3 years ago
- Algorithms for outlier, adversarial and drift detection☆2,448Updated 2 weeks ago
- The Virtual Feature Store. Turn your existing data infrastructure into a feature store.☆1,954Updated 4 months ago
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,603Updated 5 months ago
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆719Updated 2 years ago
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,935Updated 2 months ago
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆668Updated 8 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆872Updated 2 years ago
- Hopsworks - Data-Intensive AI platform with a Feature Store☆1,258Updated 9 months ago
- Algorithms for explaining machine learning models☆2,575Updated 3 weeks ago
- ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.☆4,999Updated this week
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆6,794Updated this week
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆507Updated 2 months ago
- Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.☆2,208Updated last year
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆394Updated 3 years ago
- Data Quality assessment with one line of code☆452Updated last month
- Protobuf definition for WhyLogs format☆14Updated 4 years ago
- Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io☆2,222Updated this week
- The Open Source Feature Store for AI/ML☆6,461Updated this week
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆398Updated 9 months ago
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,453Updated 3 months ago
- The Fuzzy Labs guide to the universe of open source MLOps☆472Updated 5 months ago
- Curated list of open source tooling for data-centric AI on unstructured data.☆733Updated last year
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models☆4,668Updated this week
- An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more☆854Updated 3 weeks ago
- Always know what to expect from your data.☆10,898Updated this week