Self-hosted alternatives to scvi-tools
5 self-hosted AI Skills apps to use instead, best rated first.
Top picks
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claude-to-deerflow
Launchclaude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code
Self-hosted
- O

open-notebook
Launchopen-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O
Self-hosted
- R

Reactive Resume
LaunchReactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish
Open sourceSelf-hosted
- S

self-hosted-funnel-launch
LaunchSelf-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a
Self-hosted
- G

get-convex/convex-backend
LaunchConvex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca
Self-hosted
About scvi-tools

scvi-tools
Fits probabilistic models for single-cell omics
scvi-tools is an agent skill for fitting probabilistic models to single-cell omics data with scvi-tools 1.5.1, released on 10 September 2026. It covers scVI for batch integration, scANVI for cell-type annotation, totalVI for CITE-seq data, MultiVI for joint RNA and ATAC integration, and further models for methylation, peaks and Poisson counts. The skill helps you choose the model and check that its input matches the model's expectations. The examples are illustrative. The repository tests run short CPU fits on small synthetic data for the main models, along with count-preserving preprocessing, the output contracts for differential expression, saving, loading and minification. The tested stack is Python 3.13, Scanpy 1.12.4, AnnData 0.13.4, MuData 0.4.1, PyTorch 2.14.1 and Lightning 2.6.6. Long training runs, hardware-specific paths and specialised workflows are not validated, and the skill says these checks do not establish convergence or biological validity. Use it when a dataset has batch effects, needs annotation transfer, or has paired modalities. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/scvi-tools