Technical Analysis Library using Pandas and Numpy in Python
It is a Technical Analysis library useful to do feature engineering from financial time series datasets (Open, Close, High, Low, Volume).
X-ray Analysis for Synchrotron Applications using Python
Larch is an open-source library and set of applications for processing and analyzing X-ray absorption and fluorescence spectroscopy data
A Python library to analyze molecular dynamics trajectories
MDAnalysis is a Python library to analyze molecular dynamics trajectories.
MDAnalysis tool to calculate membrane curvature
This is an MDAnalysis module to calculate membrane curvature from molecular dynamics simulations.
A Python package for exploratory analysis of Bayesian models
ArviZ (pronounced "AR-vees") is a Python package for exploratory analysis of Bayesian models.
A Powerful and efficient particle trajectory analysis in scientific Python
The freud Python library provides a simple, flexible, powerful set of tools for analyzing trajectories obtained from molecular dynamics or Monte Carlo simulations.
Common financial technical indicators implemented in Pandas with python
Common financial technical indicators implemented in Pandas.
Public CNPJ data provided by the Federal Revenue Service of Brazil
Public CNPJ data provided by the Federal Revenue Service of Brazil
Sound Field Analysis toolbox for Python
Analyze, visualize and process sound field data recorded by spherical microphone arrays.
A fast and lightweight server-side Web analytics solution
Ballcone is a fast and lightweight server-side Web analytics solution. It requires no JavaScript on your website.
A Python package that provides bioinformatics utilities for analyzing omics datasets
This repository contains PyIOmica, a Python package that provides bioinformatics utilities for analyzing (dynamic) omics datasets.
A Python Framework for Modeling and Analysis of Signaling Systems
Mathematical modeling is a powerful method for the analysis of complex biological systems.
A fine-grained manually annotated named entity recognition dataset
Few-NERD is a large-scale, fine-grained manually annotated named entity recognition dataset
Yahoo! Finance market data download with python
Ever since Yahoo! finance decommissioned their historical data API, many programs that relied on it to stop working.
An implementation of the SPEDAS framework in python
pySPEDAS is an implementation of the SPEDAS framework in python.
Program for analyzing shadows from Cassini images
This packages/program was created for my bachelor's thesis for the Astronomy department at University of Oulu, Finland
A python package for analyzing and visualizing volumetric data
yt is an open-source, permissively-licensed python package for analyzing and visualizing volumetric data.
A scikit-learn-compatible module for estimating prediction intervals
MAPIE allows you to easily estimate prediction intervals on single-output data using your favourite scikit-learn-compatible regressor.
Visualization and diagnostics for cluster analysis in Python
The clustergram was later implemented in R by Tal Galili, who also gives a thorough explanation of the concept.
Self-Supervised Contrastive Learning of Music Spectrograms
Self-Supervised Contrastive Learning of Music Spectrograms.
Histogramming for analysis powered by boost-histogram
Hist is a analyst friendly front-end for boost-histogram, designed for Python 3.7+ (3.6 users get version 2.3).
A CNN based image segmentation tool oriented to marine data analysis
TagLab was created to support the activity of annotation and extraction of statistical data from ortho-maps of benthic communities.
An open-source Python library for the analysis of network-based spatial data
Spaghetti is an open-source Python library for the analysis of network-based spatial data.
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
Synchrosqueezing is a powerful reassignment method that focuses time-frequency representations.
Download candlestick data fast & easy for analysis
The goal behind this project is to facilitate downloading cryptocurrency candlestick data fast & simple.
Fit models to your data in Python with Sherpa
Sherpa is a modeling and fitting application for Python.
Analyzing, storing and visualizing big data, scientifically
The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficient way.
Raster-based Spatial Analysis for Python
Xarray-Spatial implements common raster analysis functions using Numba and provides an easy-to-install, easy-to-extend codebase for raster analysis.
Automate the case review on legal case documents
This project is to automate the case review on legal case documents and find the most critical cases using network analysis.
N-D labeled arrays and datasets in Python
xarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun!
Maximum Covariance Analysis in Python
xMCA | Maximum Covariance Analysis in Python.
Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
A unified Data Analytics and AI platform for distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray.
A Python package for political science appointment and election analysis
Political elections, appointment, analysis and visualization in Python.
Python library to make development of portfolio analysis faster and easier
Python library to make development of portfolio analysis faster and easier.
Scrape all eBay sold listings to determine average/median pricing
Scrape all eBay sold listings to determine average/median pricing, plot listings over time with trend lines, and extract to excel.
A light weight and minimal functionality excel read/writer python library
A light weight, zero dependency, minimal functionality excel read/writer python library.
An alternative to MCMC for rapid analysis of models
PRISM is a pure Python 3 package that provides an alternative method to MCMC for analyzing scientific models.
Graph-indexed Pandas DataFrames for analyzing hierarchical performance data
Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data.
A set of OO frameworks with all the functionality needed to handle
The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficient way.
A data mining and visualization toolbox for novice and expert alike
Orange: Interactive data analysis.
Visual disk-usage analyser for docker images
What? A command-line tool for visually investigating the disk usage of docker images
Final project of Categorical Data Analysis 2020 fall
Final project of Categorical Data Analysis 2020 fall.
A free and open-source malware analysis platform
Freki is a free and open-source malware analysis platform.
Statistics/ Mathematical Computing Notebooks
Jupyter Notebooks on the topics of statistical analysis, mathematics, and numerical/sceintific computing (in Python).
A script to turn your Fusion360 design history timeline into an animation
When run, this script rolls your design history timeline back to the beginning and saves out screenshots as it steps through each operation in your design.
Numpy implementation of Hilbert curves in arbitrary dimensions
This is a numpy-based implementation of Hilbert curves, for up to a few tens of dimensions.
Track coronavirus(COVID-19) cases all over the world
The goal of covid19Tracker is to facilitate exploration of Coronavirus disease (COVID-19) dataset.
A simple command line program for analysing your own calendar data
Timetrack - a simple command line program for analysing your own calendar data.
Analysis and research of the data sources currently listed in ATT&CK
This content is analysis and research of the data sources currently listed in ATT&CK.
Containerized end-to-end analytics of Spotify data using Python
Containerized end-to-end analytics of Spotify data using Python, dbt, Postgres, and Metabase.