Streamlit — A faster way to build and share data apps.
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: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.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
- forecasting
- r
- python
A little word cloud generator in Python
The Open Source Feature Store for AI/ML
- machine-learning
- features
- ml
- big-data
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
- python
- utilities
- cache
- data-structures
the portable Python dataframe library
Visual analysis and diagnostic tools to facilitate machine learning model selection.
- machine-learning
- visual-analysis
- model-selection
- visualization
Vizro is a low-code toolkit for building high-quality data visualization apps.
- dashboard
- plotly
- plotly-dash
- python
An intuitive library to add plotting functionality to scikit-learn objects.
Lightweight and extensible compatibility layer between dataframe libraries!
moDel Agnostic Language for Exploration and eXplanation
- machine-learning
- interpretability
- data-science
- xai
Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
- python
- jupyter-notebook
- pre-commit
- codequality
Python DataFrames as Interactive DataTables
A JupyterLab plugin to facilitate invocation of code formatters.
- jupyterlab-extension
- jupyterlab-extensions
- yapf
- black
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
- pandas
- pandas-summary
- dataframes
- data-science
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
- deep-learning
- agriculture
- pytorch
- dataset
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
- python
- sklearn
- data-science
- framework
Maze Applied Reinforcement Learning Framework
High-assurance AI data visualization IDE & analytics workbench. Natural language to charts with local ground-truth table verification.
- ai-analytics
- data-analysis
- data-visualization
- duckdb
CLI utility and Python module for analyzing log files and other data.
- log-analysis
- log-parser
- cli
- security
Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
- clickhouse
- data-engineering
- data-generation
- devops
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.