Alternatives and similar repositories for prophet

Users that are interested in prophet are comparing it to the libraries listed below

• theislab / scTab
  ☆59Updated last year
• theislab / CellFlow
  Modeling complex perturbations with CellFlow
  ☆83Updated last week
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆50Updated last month
• nitzanlab / biolord
  ☆82Updated last year
• const-ae / linear_perturbation_prediction-Paper
  ☆49Updated last month
• theislab / multicpa
  ☆15Updated 3 years ago
• theislab / DRVI
  Unsupervised Deep Disentangled Representation of Single-Cell Omics
  ☆48Updated last week
• Genentech / decima
  Decima is a Python library to train sequence models on single-cell RNA-seq data.
  ☆46Updated this week
• czi-ai / transcriptformer
  ☆80Updated 2 weeks ago
• cantinilab / scPRINT
  single cell foundation model
  ☆103Updated this week
• theislab / sc-pert
  Models and datasets for perturbational single-cell omics
  ☆162Updated 3 years ago
• altoslabs / perturbench
  ☆37Updated 3 months ago
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆69Updated 2 years ago
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆146Updated 6 months ago
• chanzuckerberg / cellxgene-census
  CZ CELLxGENE Discover Census
  ☆109Updated last week
• scverse / pytometry
  Flow & mass cytometry analytics.
  ☆54Updated last week
• YosefLab / scib-metrics
  Accelerated, Python-only, single-cell integration benchmarking metrics
  ☆72Updated last week
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆63Updated 10 months ago
• jkobject / scPRINT
  single cell foundation model for Gene network inference and more
  ☆17Updated 2 months ago
• openproblems-bio / openproblems-v2
  Formalizing and benchmarking open problems in single-cell genomics
  ☆56Updated 3 months ago
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆46Updated 2 months ago
• theislab / graphcompass
  GraphCompass: Graph Comparison Tools for Differential Analyses in Spatial Systems
  ☆39Updated 2 months ago
• Lotfollahi-lab / nichecompass
  End-to-end analysis of spatial multi-omics data
  ☆93Updated last month
• MarioniLab / sagenet
  Spatial reconstruction of dissociated single-cell data
  ☆19Updated last year
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆109Updated last year
• jkobject / scDataLoader
  a dataloader to work with large single cell datasets from lamindb
  ☆29Updated last week
• lilab-bcb / harmony-pytorch
  ☆55Updated 3 months ago
• gifford-lab / prescient
  Codebase for PRESCIENT (Potential eneRgy undErlying Single Cell gradIENTs) for generative modeling of single-cell time-series.
  ☆49Updated 7 months ago
• mossjacob / pyslingshot
  Python implementation of the Slingshot pseudotime algorithm
  ☆64Updated last year
• aaronwtr / PertEval
  Evaluation suite for transcriptomic perturbation effect prediction models. Includes support for single-cell foundation models.
  ☆27Updated last month