Streamlit — A faster way to build and share data apps.
Repository Index
47,133 repositories indexed
1–24 of 50 · Most stars
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
- machine-learning
- models
- ui
- ui-components
: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 🐍
- python
- framework
- open-source
- gui
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.
- notebooks
- python
- data-science
- machine-learning
Turns Data and AI algorithms into production-ready web applications in no time.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Statsmodels: statistical modeling and econometrics in Python
- python
- statistics
- econometrics
- data-analysis
An open source python library for automated feature engineering
- feature-engineering
- machine-learning
- data-science
- automated-machine-learning
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
- cntk
- visualization
- tensorflow
- model-converter
Automatically visualize your pandas dataframe via a single print! 📊 💡
- visualization-tools
- jupyter
- python
- data-science
Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
Fast data visualization and GUI tools for scientific / engineering applications
Visual analysis and diagnostic tools to facilitate machine learning model selection.
- machine-learning
- visual-analysis
- model-selection
- visualization
Fast, flexible and easy to use probabilistic modelling in Python.
- python
- machine-learning
- probabilistic-graphical-models
- pytorch
The machine learning toolkit for time series analysis in Python
- time-series
- timeseries
- time-series-analysis
- time-series-clustering
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
- machine-learning
- scikit-learn
- statistical-learning
- xgboost
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.
- ai
- fairness-ai
- fairness
- fairness-testing
Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.
Lightweight and extensible compatibility layer between dataframe libraries!
Cartopy - a cartographic python library with matplotlib support
- cartopy
- matplotlib
- python
- geometry
What's in your data? Extract schema, statistics and entities from datasets
- python
- privacy
- pii
- npi
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
No-code in the front, Python in the back. An open-source framework for creating data apps.
- data-apps
- data-visualization
- python
- websockets