pagoda2 VS scanpy

Compare pagoda2 vs scanpy 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 scanpy
2 5
191 1,757
5.8% 3.5%
5.3 9.3
2 months ago 2 days ago
JavaScript Python
- BSD 3-clause "New" or "Revised" License
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.

scanpy

Posts with mentions or reviews of scanpy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-23.

What are some alternatives?

When comparing pagoda2 and scanpy you can also consider the following projects:

seurat - R toolkit for single cell genomics

scikit-learn - scikit-learn: machine learning in Python

kana - Single cell analysis in the browser

dash - Data Apps & Dashboards for Python. No JavaScript Required.

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.

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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

deepvariant - DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

dash-cytoscape - Interactive network visualization in Python and Dash, powered by Cytoscape.js

getting-started-with-genomics-tools-and-resources - Unix, R and python tools for genomics and data science

Keras - Deep Learning for humans

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.