Self-hosted alternatives to pyopenms
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
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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 pyopenms

pyopenms
Processes mass spectrometry data with pyOpenMS
pyopenms is an agent skill for processing mass spectrometry data with pyOpenMS, the Python bindings to the OpenMS library. It supports proteomics and metabolomics workflows, including feature detection, peptide and protein identification, label-free quantification and end-to-end LC-MS/MS pipelines. It also reads and writes mass spectrometry file formats and processes raw spectra. The skill ships ready-to-run scripts for the most common high-level workflows. Each script is a parameterised command-line tool that handles loading, processing and export, so the skill advises running a script in preference to writing new code. It falls back to the Python API and its reference files only when no script fits the task. Use it when you have raw or processed spectra and need a standard pipeline for identification or quantification. 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. Its security audits show passes from Gen Agent Trust Hub, Socket and Snyk. Install it with npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill pyopenms.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/pyopenms