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
: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 🐍
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
open-source agentic AI data assistant for the next generation of AI + Data products.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
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.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
🦉 Data Versioning and ML Experiments
100 numpy exercises (with solutions)
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Convert Machine Learning Code Between Frameworks
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
NumPy & SciPy for GPU
AI Observability & Evaluation
pix2code: Generating Code from a Graphical User Interface Screenshot
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes
Always know what to expect from your data.
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
An open source multi-tool for exploring and publishing data