HistogramFast multi-dimensional generalized histogram with convenient interface for C++14
Stars: ✭ 243 (+956.52%)
DeepgraphAnalyze Data with Pandas-based Networks. Documentation:
Stars: ✭ 232 (+908.7%)
tempoAPI for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
Stars: ✭ 212 (+821.74%)
MissingnoMissing data visualization module for Python.
Stars: ✭ 3,019 (+13026.09%)
NstackType-safe, composable microservices for data analytics
Stars: ✭ 219 (+852.17%)
heidiheidi : tidy data in Haskell
Stars: ✭ 24 (+4.35%)
Datav📊https://datav.io is a modern APM, provide observability for your business, application and infrastructure. It's also a lightweight alternative to Grafana.
Stars: ✭ 2,757 (+11886.96%)
hnnThe Human Neocortical Neurosolver (HNN) is a software tool that gives researchers/clinicians the ability to develop/test hypotheses on circuit mechanisms underlying EEG/MEG data.
Stars: ✭ 62 (+169.57%)
Machine Learning ResourcesA curated list of awesome machine learning frameworks, libraries, courses, books and many more.
Stars: ✭ 226 (+882.61%)
plottrA flexible plotting and data analysis tool.
Stars: ✭ 32 (+39.13%)
datajoint-pythonRelational data pipelines for the science lab
Stars: ✭ 140 (+508.7%)
OctosqlOctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
Stars: ✭ 2,579 (+11113.04%)
CjworkbenchThe data journalism platform with built in training
Stars: ✭ 244 (+960.87%)
transbigdataA Python package develop for transportation spatio-temporal big data processing, analysis and visualization.
Stars: ✭ 195 (+747.83%)
Igela delightful machine learning tool that allows you to train, test, and use models without writing code
Stars: ✭ 2,956 (+12752.17%)
mercuryMercury - data visualize and discovery with Javascript, such as apache zeppelin and jupyter
Stars: ✭ 29 (+26.09%)
ElandPython Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch
Stars: ✭ 235 (+921.74%)
dsrIntroduction to Data Science with R (2017)
Stars: ✭ 25 (+8.7%)
TablesawJava dataframe and visualization library
Stars: ✭ 2,785 (+12008.7%)
website-oldThe Frictionless Data website.
Stars: ✭ 31 (+34.78%)
Edavizedaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Stars: ✭ 220 (+856.52%)
python-notebooksA collection of Jupyter Notebooks used in conferences or just to have some snippets.
Stars: ✭ 14 (-39.13%)
HelicalinsightHelical Insight software is world’s first Open Source Business Intelligence framework which helps you to make sense out of your data and make well informed decisions.
Stars: ✭ 214 (+830.43%)
labplotLabPlot is a FREE, open source and cross-platform Data Visualization and Analysis software accessible to everyone.
Stars: ✭ 107 (+365.22%)
ToadESC Team's scorecard tools
Stars: ✭ 207 (+800%)
nebulaA distributed block-based data storage and compute engine
Stars: ✭ 127 (+452.17%)
kobe-every-shot-everA Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career
Stars: ✭ 66 (+186.96%)
antzANTz immersive 3D data visualization engine
Stars: ✭ 25 (+8.7%)
DatscanDatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library
Stars: ✭ 13 (-43.48%)
KdepyKernel Density Estimation in Python
Stars: ✭ 244 (+960.87%)
ipychartThe power of Chart.js with Python
Stars: ✭ 48 (+108.7%)
PlotnineA grammar of graphics for Python
Stars: ✭ 2,879 (+12417.39%)
CC33ZCurso de Ciência da Computação
Stars: ✭ 50 (+117.39%)
AmadeusHarmonious distributed data analysis in Rust.
Stars: ✭ 240 (+943.48%)
pandas-workshopAn introductory workshop on pandas with notebooks and exercises for following along.
Stars: ✭ 161 (+600%)
DatascienceCurated list of Python resources for data science.
Stars: ✭ 3,051 (+13165.22%)
hacking-datascienceNotebooks and design assets related to my publication 'hacking-datascience' on Medium.
Stars: ✭ 41 (+78.26%)
Dabest PythonData Analysis with Bootstrapped ESTimation
Stars: ✭ 231 (+904.35%)
QuerytreeData reporting and visualization for your app
Stars: ✭ 230 (+900%)
whyqddata wrangling simplicity, complete audit transparency, and at speed
Stars: ✭ 16 (-30.43%)
StreamlitStreamlit — The fastest way to build data apps in Python
Stars: ✭ 16,906 (+73404.35%)
copulaeMultivariate data modelling with Copulas in Python
Stars: ✭ 96 (+317.39%)
Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Stars: ✭ 218 (+847.83%)
PracticalMachineLearningA collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.
Stars: ✭ 60 (+160.87%)
RunalyzeCreate your free account at runalyze.com
Stars: ✭ 219 (+852.17%)
dask-awkwardNative Dask collection for awkward arrays, and the library to use it.
Stars: ✭ 25 (+8.7%)
Static FrameImmutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.
Stars: ✭ 217 (+843.48%)
UliEngineeringA python library for calculations perfomed in electronics engineering
Stars: ✭ 35 (+52.17%)
spectrochempySpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python
Stars: ✭ 34 (+47.83%)
ipaddressData analysis of IP addresses and networks
Stars: ✭ 20 (-13.04%)
Data-Science-101Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.
Stars: ✭ 19 (-17.39%)
Bitcoin Analysis-Python Bitcoin is widely used cryptocurrency for digital market. It is decentralised that means it is not own by government or any other company.Transactions are simple and easy as it doesn’t belong to any country.Records data are stored in Blockchain.Bitcoin price is variable and it is widely used so it is important to predict the price of it f…
Stars: ✭ 42 (+82.61%)