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.
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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.
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.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Low-code framework for building custom LLMs, neural networks, and other AI models
Fast and Accurate ML in 3 Lines of Code
Open source annotation tool for machine learning practitioners.
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
git-cola: The highly caffeinated Git GUI
moDel Agnostic Language for Exploration and eXplanation
Cloud-native genomic dataframes and batch computing
A Python package to visualise neuroanatomical data in atlas space
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
High-assurance AI data visualization IDE & analytics workbench. Natural language to charts with local ground-truth table verification.
Opinionated typing package for precise type hints in Python
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
MCP server for spatial transcriptomics analysis through natural language interfaces.
Turn CSV, Excel, and read-only databases into verified, editable business reports.
Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.