whylabs / whylogsLinks
An open-source data logging library for machine learning models and data pipelines. π Provides visibility into data quality & model performance over time. π‘οΈ Supports privacy-preserving data collection, ensuring safety & robustness. π
β2,723Updated 4 months ago
Alternatives and similar repositories for whylogs
Users that are interested in whylogs are comparing it to the libraries listed below
Sorting:
- MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integraβ¦β1,544Updated this week
- Protobuf definition for WhyLogs formatβ14Updated 3 years ago
- Algorithms for outlier, adversarial and drift detectionβ2,382Updated 3 weeks ago
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML vaβ¦β3,811Updated last week
- Algorithms for explaining machine learning modelsβ2,517Updated 3 weeks ago
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewβ¦β2,082Updated 2 months ago
- β704Updated 2 years ago
- A collection of WhyLogs examples in various languagesβ48Updated last year
- πΆ A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one dayπ€β720Updated last year
- The Virtual Feature Store. Turn your existing data infrastructure into a feature store.β1,901Updated 3 weeks ago
- The Open Source Feature Store for AI/MLβ6,115Updated this week
- Source code of the WhyLabs Platform OSSβ12Updated 4 months ago
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lineβ¦β667Updated 3 months ago
- CDF SIG MLOpsβ626Updated 6 months ago
- An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and moreβ810Updated this week
- Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.ioβ2,102Updated this week
- Hopsworks - Data-Intensive AI platform with a Feature Storeβ1,226Updated 3 months ago
- Evidently is ββan open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Froβ¦β6,236Updated this week
- ZenML π: The bridge between ML and Ops. https://zenml.io.β4,620Updated this week
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...β390Updated 2 years ago
- An end-to-end implementation of intent prediction with Metaflow and other cool toolsβ865Updated last year
- Elyra extends JupyterLab with an AI centric approach.β1,928Updated 2 weeks ago
- Monitor the stability of a Pandas or Spark dataframe βοΈβ501Updated 4 months ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.β648Updated 2 months ago
- The fastest β‘οΈ way to build data pipelines. Develop iteratively, deploy anywhere. βοΈβ3,584Updated last week
- Open Source ML Model Versioning, Metadata, and Experiment Managementβ1,723Updated 10 months ago
- The Fuzzy Labs guide to the universe of open source MLOpsβ463Updated 2 weeks ago
- A toolkit that streamlines and automates the generation of model cardsβ434Updated last year
- βΎοΈ CML - Continuous Machine Learning | CI/CD for MLβ4,103Updated this week
- Extra blocks for scikit-learn pipelines.β1,338Updated last month