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aeon

Self-hosted alternatives to aeon

5 self-hosted AI Skills apps to use instead, best rated first.

Top picks

  1. C

    claude-to-deerflow

    Launch

    claude-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

  2. O

    open-notebook

    Launch

    open-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

  3. R

    Reactive Resume

    Launch

    Reactive 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

  4. S

    self-hosted-funnel-launch

    Launch

    Self-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

  5. G

    get-convex/convex-backend

    Launch

    Convex 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 aeon

A

aeon

Should be used for time series machine learning tasks including classification

aeon is an agent skill for time series machine learning, built around aeon, a scikit-learn compatible Python toolkit. It covers classification, regression, clustering, forecasting, anomaly detection, segmentation, similarity search, distance measures, transformations, benchmarking and visualization, all through a consistent estimator interface. Use it when you are classifying or predicting from time series data, detecting anomalies or change points in temporal sequences, clustering similar patterns, forecasting future values, finding repeated patterns or unusual subsequences, comparing series with specialised distance metrics, or extracting features from temporal data. The skill notes its verification: it was reviewed against aeon 1.6.0 on Python 3.13, with small synthetic checks for most task types. Remote archive and TensorFlow training snippets are illustrative and were not run during that review, and the method catalogues it lists are selections rather than complete lists. The skill points to the 1.6 release notes for changes. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars.

View aeonAll AI Skills apps
Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/aeon