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Search results for data science dataops

18 search results found

Prefect ⭐ 14,603

Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines

Cleanlab ⭐ 8,182

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Flyte ⭐ 4,380

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

Taipy ⭐ 4,311

Turns Data and AI algorithms into production-ready web applications in no time.

Lance ⭐ 3,003

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

Whylogs ⭐ 2,533

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. 📈

Traceml ⭐ 490

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

Versatile Data Kit ⭐ 389

One framework to develop, deploy and operate data workflows with Python and SQL.

Squirrel Core ⭐ 271

A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰

Transform your pythonic research to an artifact that engineers can deploy easily.

Cauldron ⭐ 77

Interactive computing for complex data processing, modeling and analysis in Python 3

Beneath is a serverless real-time data platform ⚡️

Squirrel Datasets Core ⭐ 37

Squirrel dataset hub

Data Engineering And Dataops ⭐ 34

Duke MIDS: Data Engineering and DataOps Course

Polyaxon Core Client & CLI to streamline MLOps

Rivery_cli ⭐ 17

Smartpipeline ⭐ 16

A framework for rapid development of robust data pipelines following a simple design pattern

Awesome Ml Monitoring ⭐ 11

A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀

Dataphile ⭐ 8

Data analytics library for Python and suite of open source, command line based data ops tools.

Scalable Data Science ⭐ 5

Scalable Data Science: The state of DataOps / MLOps in 2018

Data Science Api Framework ⭐ 5

A simple framework to test and deploy your Data Science API

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