whylabs / whylogs
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. 📈
☆2,680Updated 2 weeks ago
Alternatives and similar repositories for whylogs:
Users that are interested in whylogs are comparing it to the libraries listed below
- Profile and monitor your ML data pipeline end-to-end☆178Updated 3 years ago
- Protobuf definition for WhyLogs format☆14Updated 3 years ago
- A collection of WhyLogs examples in various languages☆48Updated 8 months ago
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,038Updated 4 months ago
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,536Updated 4 months ago
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,682Updated last month
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆718Updated last year
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆5,645Updated this week
- Algorithms for outlier, adversarial and drift detection☆2,288Updated last week
- A light-weight, flexible, and expressive statistical data testing library☆3,569Updated last week
- nannyml: post-deployment data science in python☆2,016Updated 2 weeks ago
- Synthetic data generation for tabular data☆2,470Updated this week
- ♾️ CML - Continuous Machine Learning | CI/CD for ML☆4,062Updated last week
- Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io☆1,982Updated 2 weeks ago
- The Virtual Feature Store. Turn your existing data infrastructure into a feature store.☆1,827Updated this week
- MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integra…☆1,476Updated this week
- ZenML 🙏: The bridge between ML and Ops. https://zenml.io.☆4,354Updated this week
- Python Stream Processing☆1,617Updated last week
- Open Source AI/ML Platform☆8,488Updated this week
- 🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring sa…☆869Updated 2 months ago
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆499Updated this week
- ☆705Updated 2 years ago
- data load tool (dlt) is an open source Python library that makes data loading easy 🛠️☆3,019Updated this week
- The Fuzzy Labs guide to the universe of open source MLOps☆452Updated 6 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆854Updated last year
- A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton☆863Updated last year
- What's in your data? Extract schema, statistics and entities from datasets☆1,454Updated 2 weeks ago
- Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metada…☆1,998Updated 2 weeks ago
- Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.☆5,958Updated this week
- Hopsworks - Data-Intensive AI platform with a Feature Store☆1,188Updated 2 months ago