scanpy VS pagoda2

Compare scanpy vs pagoda2 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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scanpy pagoda2
5 2
1,757 191
1.7% 2.1%
9.3 5.3
6 days ago 2 months ago
Python JavaScript
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.

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.

pagoda2

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

What are some alternatives?

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

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

seurat - R toolkit for single cell genomics

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

kana - Single cell analysis in the browser

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.

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.

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

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

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.