feathr-ai / feathrLinks
Feathr – A scalable, unified data and AI engineering platform for enterprise
☆1,906Updated last year
Alternatives and similar repositories for feathr
Users that are interested in feathr are comparing it to the libraries listed below
Sorting:
- Hopsworks - Data-Intensive AI platform with a Feature Store☆1,253Updated 7 months ago
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,108Updated 5 months ago
- The Virtual Feature Store. Turn your existing data infrastructure into a feature store.☆1,942Updated 2 months ago
- The Open Source Feature Store for AI/ML☆6,315Updated this week
- Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet f…☆1,856Updated last month
- MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integra…☆1,587Updated this week
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆654Updated 5 months ago
- An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more☆840Updated this week
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆394Updated 2 years ago
- ☆703Updated 2 years ago
- An open protocol for secure data sharing☆867Updated 3 weeks ago
- Chronon is a data platform for serving for AI/ML applications.☆844Updated this week
- MLeap: Deploy ML Pipelines to Production☆1,521Updated 9 months ago
- Visualise your Kedro data and machine-learning pipelines and track your experiments.☆728Updated this week
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆720Updated last year
- LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data…☆2,959Updated this week
- UnionML: the easiest way to build and deploy machine learning microservices☆336Updated last year
- An open-source ML pipeline development platform☆996Updated 8 months ago
- An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model perf…☆2,755Updated 8 months ago
- Open Source ML Model Versioning, Metadata, and Experiment Management☆1,738Updated last year
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆668Updated 6 months ago
- TFX is an end-to-end platform for deploying production ML pipelines☆2,162Updated 2 months ago
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,602Updated 3 months ago
- nannyml: post-deployment data science in python☆2,093Updated last month
- Python API for Deequ☆790Updated 5 months ago
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models☆4,618Updated this week
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆504Updated last week
- Distributed Computing for AI Made Simple☆1,046Updated 2 years ago
- Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io☆2,167Updated this week
- A unified end-to-end machine intelligence platform☆538Updated last year