whylabs / whylogs-javaLinks
Profile and monitor your ML data pipeline end-to-end
☆178Updated 3 years ago
Alternatives and similar repositories for whylogs-java
Users that are interested in whylogs-java are comparing it to the libraries listed below
Sorting:
- An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model perf…☆2,738Updated 7 months ago
- Protobuf definition for WhyLogs format☆14Updated 4 years ago
- A collection of WhyLogs examples in various languages☆48Updated last year
- A python package to make it easier to interact with WhyLabs APIs☆13Updated 7 months ago
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆6,507Updated 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…☆3,866Updated 2 weeks ago
- 🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring sa…☆936Updated 8 months ago
- Algorithms for outlier, adversarial and drift detection☆2,417Updated 2 months ago
- A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton☆859Updated 2 years ago
- Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.☆3,479Updated last month
- MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integra…☆1,570Updated this week
- nannyml: post-deployment data science in python☆2,088Updated last month
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆868Updated 2 years ago
- ZenML 🙏: MLOps for Reliable AI: from Classical AI to Agents. https://zenml.io.☆4,805Updated this week
- Step-by-step guide to using MLflow in a SageMaker MLOps project☆13Updated 3 years ago
- Synthetic data generators for structured and unstructured text, featuring differentially private learning.☆653Updated last month
- Open Source ML Model Versioning, Metadata, and Experiment Management☆1,733Updated last year
- LLMs and Machine Learning done easily☆439Updated 2 weeks ago
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆517Updated last week
- CDF SIG MLOps☆625Updated 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…☆2,100Updated 4 months ago
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆720Updated last year
- Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io☆2,150Updated this week
- ☆703Updated 2 years ago
- Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and…☆2,233Updated last week
- Coarse-grained lineage and tracing for machine learning pipelines.☆470Updated 2 years ago
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆504Updated 6 months ago
- The Open Source Feature Store for AI/ML☆6,260Updated this week
- Data Quality assessment with one line of code☆447Updated 2 weeks ago
- do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning m…☆855Updated last year