Skip to content
store
dask

Self-hosted alternatives to dask

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 dask

D

dask

Scales pandas, NumPy

dask is an agent skill for scaling pandas, NumPy and custom Python research workflows beyond the memory of one machine, or across a cluster, using Dask. Dask is a Python library for parallel and distributed computing. It offers larger-than-memory execution on one machine, parallel processing across cores, and distributed computation for datasets at terabyte scale across several machines. The skill covers DataFrames, Arrays, Bags, Futures, chunking and related patterns. How far a job can go depends on partition sizes, intermediate data, concurrency, storage and available memory, and the skill takes those into account. The reviewed release is dask and distributed 2026.8.0, reviewed on 30 September 2026. The skill notes that since version 2025.1.0 the expression-based DataFrame API with query planning is the only implementation, so you should not install dask-expr separately or set dataframe.query-planning to False. It includes a quick start and installation guide. 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 1,900 installs.

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