pagoda2 VS too-many-cells

Compare pagoda2 vs too-many-cells and see what are their differences.

pagoda2

R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets (by kharchenkolab)
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pagoda2 too-many-cells
2 -
191 100
2.1% -
5.3 4.5
2 months ago 5 months ago
JavaScript Haskell
- GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pagoda2

Posts with mentions or reviews of pagoda2. We have used some of these posts to build our list of alternatives and similar projects.

too-many-cells

Posts with mentions or reviews of too-many-cells. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning too-many-cells yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing pagoda2 and too-many-cells you can also consider the following projects:

seurat - R toolkit for single cell genomics

subsample - Subsample data from a uniform distribution so two different statuses for the same entity have the same number of samples.

scanpy - Single-cell analysis in Python. Scales to >1M cells.

collapse-duplication - Process the output of heatitup in order to collapse sequences into clones by similar ITD mutations.

kana - Single cell analysis in the browser

integreat - Integrate difference data sources and optionally perform differential integration.

alevin-fry - 🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.

normalize - normalize

heatitup-complete - Find and annotate ITDs with assembly or read pair joining using suffix trees and characterize the exogenous segments within the spacer using heat diffusion. A layer on top of heatitup for additional functionality such as working with BAM files directly.

tex-join-bib - Compile separate tex files with the same bibliography.

BiobaseEnsembl - Ensembl related functions and datastructures

birch-beer - Generate a tree for displaying a hierarchy of groups with colors, scaling, and more.