Apache Superset is a Data Visualization and Data Exploration Platform
-
Updated
Aug 18, 2025 - TypeScript
Apache Superset is a Data Visualization and Data Exploration Platform
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
A curated list of awesome big data frameworks, ressources and other awesomeness.
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, and PyTorch with more integrations coming..
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
Self-serve BI to 10x your data team ⚡️
Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.
ETL, Analytics, Versioning for Unstructured Data
Datart is a next generation Data Visualization Open Platform
The modern replacement for Jupyter Notebooks
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
Zui is a powerful desktop application for exploring and working with data. The official front-end to the Zed lake.
DataGear数据可视化分析平台,自由制作任何您想要的数据看板
The Feldera Incremental Computation Engine
Dremio - the missing link in modern data
DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing. Now expanding into crypto market intelligence. Learn more: https://datagen.digital/.
Business Intelligence (BI) in Python, OLAP
Open Source Self-Hosted Business Intelligence Platform
TrailDB is an efficient tool for storing and querying series of events
Developer-first embedded analytics
Add a description, image, and links to the data-analytics topic page so that developers can more easily learn about it.
To associate your repository with the data-analytics topic, visit your repo's landing page and select "manage topics."