Apache Superset is a Data Visualization and Data Exploration Platform
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Updated
Dec 5, 2024 - TypeScript
Apache Superset is a Data Visualization and Data Exploration Platform
A curated list of awesome big data frameworks, ressources and other awesomeness.
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.
Self-serve BI to 10x your data team ⚡️
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..
Lean and mean distributed stream processing system written in rust and web assembly. Alternative to Kafka + Flink in one.
ETL and Analytics for Multimodal AI Data
The modern replacement for Jupyter Notebooks
Datart is a next generation Data Visualization Open Platform
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
Dremio - the missing link in modern data
Business Intelligence (BI) in Python, OLAP
TrailDB is an efficient tool for storing and querying series of events
Open Source Self-Hosted Business Intelligence Platform
AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT, and LangGraph, this tool streamlines hypothesis generation, data analysis, visualization, and report writing. Perfect for researchers and data scientists seeking to enhance their workflow and productivity.
Developer-first embedded analytics
The Feldera Incremental Computation Engine
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