Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
Repository Index
54,641 visible repositories in the index
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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.
A game theoretic approach to explain the output of any machine learning model.
- interpretability
- machine-learning
- deep-learning
- gradient-boosting
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
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
- generative-ai
- gpt
- deep-learning
- langauge-model
Learning Convolutional Neural Networks with Interactive Visualization.
- deep-learning
- visualization
- interactive-visualizations
- visual-learning
Open Source Feature Flags, Experimentation, and Product Analytics
- abtesting
- statistics
- abtest
- experimentation
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
- dataframe
- python
- bigdata
- tabular-data
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
- causal-inference
- machine-learning
- graphical-models
- bayesian-networks
Visually explore, understand, and present your data.
- data-visualization
- powerbi
- deck-gl
- vega
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
A Python based monitoring and tracking tool for Plex Media Server.
- plex
- plexpy
- python
- monitoring
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
- large-language-models
- prompt-engineering
- agent-monitoring
- analytics
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
Next generation of automated data exploratory analysis and visualization platform.
- datamining
- visualization
- automated-visualization
- data-exploration
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Visualize and compare datasets, target values and associations, with one line of code.
- pandas-dataframe
- eda
- pandas
- data-exploration
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
A library for debugging/inspecting machine learning classifiers and explaining their predictions
- scikit-learn
- machine-learning
- xgboost
- lightgbm
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
- graph
- visualization
- gpu
- graphistry
Exploratory analysis of Bayesian models with Python
- python
- bayesian
- closember
moDel Agnostic Language for Exploration and eXplanation
- machine-learning
- interpretability
- data-science
- xai