Quanfima (Quantitative Analysis of Fibrous Materials)
- data-analysis
- material-science
- volumetric-data
- morphological-analysis
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Quanfima (Quantitative Analysis of Fibrous Materials)
Single-cell fluorescence microscopy data analysis
Universal 1d/2d data containers with Transformers functionality for data analysis.
Jupyter Notebook Utility
Wrapper around react-flexbox-grid for Plotly Dash
Jupyter MicroPython Kernel made with upydevice
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
A pygame API-compatible reimplementation for running `pygame`-style code inside Jupyter notebooks (backed by ipycanvas)
Library for sending data to thingspeak.com from IoT devices running micropython (such as ESP8266)
Copy a pandas DataFrame to the clipboard with one click
A Python library built on pandas and geopandas for linearly referenced data management, engineering, and analysis using the DataFrame accessor pattern (.lr).
Data acquisition for Raspberry Pi and Micropython
Blazingly fast data comparison tool for Python, powered by Rust. Compare massive CSV/Parquet datasets instantly.
ETL scripts for EOS.
Modern, interactive charts for Jupyter notebooks with Apache ECharts
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
Store,Version and Run jupyter notebook via ReST api
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
DataSet File Format (DSFF)
Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.