Apache Superset is a Data Visualization and Data Exploration Platform
- superset
- apache
- apache-superset
- data-visualization
47,133 repositories indexed
1–24 of 44 · Most stars
Apache Superset is a Data Visualization and Data Exploration Platform
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets everyone work with data :bar_chart:
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.
Statsmodels: statistical modeling and econometrics in Python
Immediate Mode Plotting
Lightning ⚡️ fast forecasting with statistical and econometric models.
:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
Python Toolkit for Causal and Probabilistic Reasoning
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
App to easily query, script, and visualize data from every database, file, and API.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
An easy-to-use BI server built for SQL lovers. Power data analysis in SQL and gain faster business insights.
A flexible, intuitive and fast forecasting library
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
moDel Agnostic Language for Exploration and eXplanation
Immediate Mode 3D Plotting
Anomaly Detection and Correlation library
📈 Open source, privacy-first web analytics — a cookie-less Google Analytics alternative with built-in error tracking and performance monitoring. Self-host it or use our cloud. Get started for free!
Visualize large time series data with plotly.py
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
TranslatedTensorFlow in practice: using LSTM to predict lottery results
Electronic Health Record Analysis with Python.