Apache Superset is a Data Visualization and Data Exploration Platform
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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
Kronos: A Foundation Model for the Language of Financial Markets
Streamlit — The agent-native framework for data apps and dashboards.
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.
Extremely fast Query Engine for DataFrames, written in Rust
Google Research
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Visualizer for neural network, deep learning and machine learning models
🕸️ Web apps in pure Python 🐍
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
A game theoretic approach to explain the output of any machine learning model.
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.
Interactive Data Visualization in the browser, from Python
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.
The interactive graphing library for Python :sparkles:
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.