Apache Superset is a Data Visualization and Data Exploration Platform
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Updated
Dec 2, 2025 - TypeScript
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
Apache Superset is a Data Visualization and Data Exploration Platform
Open Source Feature Flagging and A/B Testing Platform
📘 The interactive computing suite for you! ✨
Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.
Visualizer for pandas data structures
Build data pipelines, the easy way 🛠️
Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
A desktop application for viewing and analyzing tabular data
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
High Performace IDE for Jupyter Notebooks
The modern replacement for Jupyter Notebooks
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Chat with your data - AI data analysis and visualization on CSV, Postgres, MySQL, Snowflake, SQLite...
Visual Data Preparation and Transformation. Low-Code Python-based ETL.
Developer-first embedded analytics
🔬 Data science environment for k8s
Visualise your CSV files in seconds without sending your data anywhere
Duck-UI is a web-based interface for interacting with DuckDB, a high-performance analytical database system. It features a SQL editor, data import/export, data explorer, query history, theme toggle, and keyboard shortcuts, all running seamlessly in the browser using DuckDB's WebAssembly (WASM) capabilities.
⚛️ React.js components 💯% compatible with 🪐 Jupyter.
Pandas profiling component for Streamlit.