normalize VS birch-beer

Compare normalize vs birch-beer and see what are their differences.

normalize

normalize (by GregorySchwartz)

birch-beer

Generate a tree for displaying a hierarchy of groups with colors, scaling, and more. (by GregorySchwartz)
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normalize birch-beer
0 0
0 5
- -
0.0 0.0
almost 4 years ago about 1 year ago
Haskell Haskell
GNU General Public License v3.0 only 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.

normalize

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

We haven't tracked posts mentioning normalize yet.
Tracking mentions began in Dec 2020.

birch-beer

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

We haven't tracked posts mentioning birch-beer yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing normalize and birch-beer you can also consider the following projects:

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

hierarchical-spectral-clustering - Hierarchical spectral clustering of a graph.

EntrezHTTP - Haskell cabal libary for submission and result retrieval from the NCBI Entrez REST webservice

BiobaseEnsembl - Ensembl related functions and datastructures

too-many-cells - Cluster single cells and analyze cell clade relationships with colorful visualizations.

zsyntax - Automated theorem prover for a linear logic-based calculus for molecular biology.

differential - Finds out whether an entity comes from different distributions (statuses).

modularity - Find the modularity of a network.

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

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