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dask

Open source alternatives to dask

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

    github-ops

    Launch

    github-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

  2. O

    opensource-pipeline

    Launch

    opensource-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

  3. A

    andrej-karpathy-skills

    Launch

    andrej-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

  4. M

    microsoft/markitdown

    Launch

    markitdown-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

  5. O

    od-contribute

    Launch

    od-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

  6. G

    github-deep-research

    Launch

    github-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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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