Apache Superset is a Data Visualization and Data Exploration Platform
Repository Index
47,133 repositories indexed
1–24 of 31 · Most stars
Learn how to develop, deploy and iterate on production-grade ML applications.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Turns Data and AI algorithms into production-ready web applications in no time.
An orchestration platform for the development, production, and observation of data assets.
The Data Engineering Cookbook
Always know what to expect from your data.
Incremental engine for long horizon agents 🌟 Star if you like it!
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
The Open Source Feature Store for AI/ML
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Python Stream Processing
Python Streaming DataFrames for Kafka
Clean APIs for data cleaning. Python implementation of R package Janitor
The data transformation tool the open-source community deserves.
Open Lakehouse Compute Fabric: an open-source lakehouse platform with Microsoft Fabric Compute Extension.
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Reverse ETL for the code-first data stack