Alternatives

Cellrank alternatives for AI agents.

Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.

Current skill

Cellrank

CellRank: dynamics from multi-view single-cell data

84
Quality
80
Trust
453
Stars
#1

Cesium

Similarity 104Trust 93Excellent 100

An open-source JavaScript library for world-class 3D globes and maps :earth_americas:

15K starsJun 21, 2026 pushgeo-scienceJavaScriptGeospatial
$ npx skills add CesiumGS/cesium
#2

Turf

Similarity 103Trust 92Excellent 100

A modular geospatial engine written in JavaScript and TypeScript

10K starsJun 20, 2026 pushgeo-scienceTypeScriptGeospatial
$ npx skills add Turfjs/turf
#3

Erpnext

Similarity 103Trust 92Excellent 100

Free and Open Source Enterprise Resource Planning (ERP)

36K starsJun 16, 2026 pushgeo-sciencePythonHealth Data
$ npx skills add frappe/erpnext
#4

Tile38

Similarity 103Trust 89Excellent 100

Real-time Geospatial and Geofencing

9.7K starsJun 9, 2026 pushgeo-scienceGoGeospatial
$ npx skills add tidwall/tile38
#5

Dash

Similarity 91Trust 92Excellent 100

Data Apps & Dashboards for Python. No JavaScript Required.

24K starsJul 3, 2026 pushfinancePythonFinance
$ npx skills add plotly/dash
#6

Machine Learning For Trading

Similarity 84Trust 88Excellent 100

Code for Machine Learning for Algorithmic Trading, 2nd edition.

19K starsJun 23, 2026 pushfinanceJupyter NotebookFinance
$ npx skills add stefan-jansen/machine-learning-for-trading
#7

Gradio

Similarity 84Trust 94Excellent 100

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

43K starsJun 17, 2026 pushdata-analysisPythonData Analysis
$ npx skills add gradio-app/gradio
#8

Ray

Similarity 84Trust 94Excellent 100

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ray-project/ray
#9

Pytorch Lightning

Similarity 83Trust 93Excellent 100

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

31K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add Lightning-AI/pytorch-lightning
#10

Keras

Similarity 83Trust 92Excellent 100

Deep Learning for humans

64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras
#11

Streamlit

Similarity 83Trust 92Excellent 100

Streamlit — A faster way to build and share data apps.

45K starsJun 14, 2026 pushdata-analysisPythonData Analysis
$ npx skills add streamlit/streamlit
#12

Scikit Learn

Similarity 83Trust 90Excellent 100

scikit-learn: machine learning in Python

66K starsJun 17, 2026 pushdata-analysisPythonData Analysis
$ npx skills add scikit-learn/scikit-learn
#13

SpaCy

Similarity 83Trust 90Excellent 100

💫 Industrial-strength Natural Language Processing (NLP) in Python

34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy
#14

Recommenders

Similarity 83Trust 92Excellent 100

Best Practices on Recommendation Systems

22K starsJun 14, 2026 pushdevopsPythonKubernetes
$ npx skills add recommenders-team/recommenders
#15

Marimo

Similarity 83Trust 92Excellent 100

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

21K starsJun 16, 2026 pushcoding-agentsPythonDeveloper Tools
$ npx skills add marimo-team/marimo
#16

Dvc

Similarity 82Trust 92Excellent 100

🦉 Data Versioning and ML Experiments

16K starsJun 15, 2026 pushcoding-agentsPythonDeveloper Tools
$ npx skills add treeverse/dvc

How to choose

When should you switch?

Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Cellrank if it already passes your workflow test and repository review.

Next step

Compare top candidates side by side

Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.