Open source alternatives to scanpy
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G

github-ops
Launchgithub-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify
Open source
- O

opensource-pipeline
Launchopensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st
Open source
- A

andrej-karpathy-skills
Launchandrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis
Open source
- M

microsoft/markitdown
Launchmarkitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve
Open source
- O

od-contribute
Launchod-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the
Open source
- G

github-deep-research
Launchgithub-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive
Open source
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Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About scanpy

scanpy
Performs Scanpy single-cell RNA-seq QC, normalization, HVG selection
scanpy is an agent skill for single-cell RNA-seq analysis with Scanpy, a Python toolkit built on AnnData. It covers quality control, normalisation, highly variable gene selection, dimensionality reduction with PCA, UMAP and t-SNE, clustering, exploratory marker ranking, pseudobulk preparation, visualisation and trajectory analysis. The skill targets Scanpy 1.12.4, released on 27 August 2026 and reviewed on 1 October 2026. The native synthetic tests check data and API contracts, but they do not establish biological validity. Scanpy 1.12 requires Python 3.12 or newer and AnnData 0.10 or later. The leiden extra installs igraph and leidenalg, and the scripts select the igraph flavour explicitly. For reproducible environments the skill recommends pinning the version. For large or out-of-memory datasets, many functions support Dask arrays, which the skill notes is experimental. Use it for a complete single-cell workflow, from raw counts to clusters and marker genes. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/scanpy











