Self-hosted alternatives to data-analysis
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
- S

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 data-analysis

data-analysis
The user uploads Excel (.xlsx/.xls) or CSV files and wants
data-analysis is an agent skill from the DeerFlow project that analyzes Excel (.xlsx and .xls) and CSV files you upload. It uses DuckDB, an in-process analytical SQL engine, so the whole analysis runs through one Python script without a database server. The skill inspects the file's structure, listing sheets, columns, types and row counts, and then runs SQL queries against the data. For a multi-sheet workbook, each sheet becomes its own table, so you can join across sheets. It produces statistical summaries that include the mean, median, standard deviation, percentiles and null counts, and it can build pivot-style summaries. Query results can be exported as CSV, JSON or Markdown. The skill is built to handle large files efficiently, because DuckDB processes data in a columnar layout. It is suited to anyone who has a spreadsheet or export and wants answers from it, such as summaries or the distribution of a column, without writing the code by hand. Its workflow begins by working out what you need. The skill passes Gen Agent Trust Hub and Snyk on skills.sh, and Socket shows a warning. Install it with npx skills add https://github.com/bytedance/deer-flow --skill data-analysis.
- Price
- Free
- Made by
- bytedance
- Category
- AI Skills
- Website
- github.com/bytedance/deer-flow/data-analysis