Apache Superset is a Data Visualization and Data Exploration Platform
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- apache
- apache-superset
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Apache Superset is a Data Visualization and Data Exploration Platform
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.
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Fast and Accurate ML in 3 Lines of Code
A little word cloud generator in Python
Deep universal probabilistic programming with Python and PyTorch
The Open Source Feature Store for AI/ML
📚 Parameterize, execute, and analyze notebooks
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.
Automatically visualize your pandas dataframe via a single print! 📊 💡
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Scalable and user friendly neural :brain: forecasting algorithms.
A highly efficient implementation of Gaussian Processes in PyTorch
Main repository for Vispy
Fast, flexible and easy to use probabilistic modelling in Python.
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
Visualize and compare datasets, target values and associations, with one line of code.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Clean APIs for data cleaning. Python implementation of R package Janitor
moDel Agnostic Language for Exploration and eXplanation