|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Awesome Datascience||21,312||3 days ago||mit|
|:memo: An awesome Data Science repository to learn and apply for real world problems.|
|Awesome Bigdata||12,033||2 days ago||33||mit|
|A curated list of awesome big data frameworks, ressources and other awesomeness.|
|Awesome Creative Coding||10,926||a month ago||21||HTML|
|Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.|
|Datascience||3,751||12 days ago||cc0-1.0|
|Curated list of Python resources for data science.|
|Awesome Jupyter||3,360||a day ago||3||cc-by-sa-4.0|
|A curated list of awesome Jupyter projects, libraries and resources|
|Awesome Dataviz||3,296||7 days ago||11||other|
|:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.|
|Go Recipes||2,570||2 days ago||45||mit||Go|
|🦩 Tools for Go projects|
|Awesome Single Cell||2,506||19 days ago||11||mit|
|Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.|
|Awesome Python Data Science||1,913||a month ago||cc-by-4.0|
|Probably the best curated list of data science software in Python.|
|Awesome Business Intelligence||1,747||2 months ago||8||mit|
|Actively curated list of awesome BI tools. PRs welcome!|
List of software packages (and the people developing these methods) for single-cell data analysis, including RNA-seq, ATAC-seq, etc. Contributions welcome...
htseq-count, a script to quantify gene expression in bulk and single-cell RNA-Seq and similar experiments.
kb-pythonis a python package for processing single-cell RNA-sequencing. It wraps the
bustoolssingle-cell RNA-seq command line tools in order to unify multiple processing workflows.
cellassignautomatically assigns single-cell RNA-seq data to known cell types across thousands of cells accounting for patient and batch specific effects. Information about a priori known markers for cell types is provided as input to the model. cellassign then probabilistically assigns each cell to a cell type, removing subjective biases from typical unsupervised clustering workflows. bioRxiv
inferCNV. Significantly faster than the R version.
ggetis a free, open-source command-line tool and Python package that enables efficient querying of genomic databases.
ggetconsists of a collection of separate but interoperable modules, each designed to facilitate one type of database querying in a single line of code.
tsvdownload. Over 500 single cell transcriptomics studies have been published to date. Many of these have data available, but the links between data, study, and systems studied can be hard to identify through literature search. This manuscript describes a nearly exhaustive and manually curated database of single cell transcriptomics studies with descriptions of what kind of data and what biological systems have been studied. bioRxiv.
Gender bias at conferences is a well known problem (http://www.sciencemag.org/careers/2015/07/countering-gender-bias-conferences). Creating a list of potential speakers can help mitigate this bias and a community of people developing and maintaining helps to further diversify this list beyond smaller networks.