Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
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Apache Superset is a Data Visualization and Data Exploration Platform
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Streamlit — A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
🕸️ Web apps in pure Python 🐍
Data Apps & Dashboards for Python. No JavaScript Required.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
matplotlib: plotting with Python
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
open-source agentic AI data assistant for the next generation of AI + Data products.
Turns Data and AI algorithms into production-ready web applications in no time.
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
🦉 Data Versioning and ML Experiments
TuShare is a utility for crawling historical data of China stocks
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Statistical data visualization in Python
Parallel computing with task scheduling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.