Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- data-analysis
- pandas
- flexible
- alignment
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Extremely fast Query Engine for DataFrames, written in Rust
🕸️ Web apps in pure Python 🐍
Data Apps & Dashboards for Python. No JavaScript Required.
All-in-one IoT Platform - Device management, data collection, processing and visualization.
WebGL2 powered visualization framework
Highcharts JS, the JavaScript charting framework
♾ A Graph Visualization Framework in JavaScript.
A JavaScript library aimed at visualizing graphs of thousands of nodes and edges
Modin: Scale your Pandas workflows by changing a single line of code
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cuDF - GPU DataFrame Library
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
🦋 An Infographic Generation and Rendering Framework, bring words to life with AI!
the portable Python dataframe library
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.
Beautiful, interactive charts, maps, and gauges. One API for every .NET UI framework.
Automatically visualize your pandas dataframe via a single print! 📊 💡
:bar_chart: Declarative Charting Framework for Angular
R's data.table package extends data.frame:
Java dataframe and visualization library
Koalas: pandas API on Apache Spark
Visualize and compare datasets, target values and associations, with one line of code.
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks