Self-hosted alternatives to exploratory-data-analysis
5 self-hosted AI Skills apps to use instead, best rated first.
Top picks
- C

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 exploratory-data-analysis

exploratory-data-analysis
Perform comprehensive exploratory data analysis on scientific data files across
exploratory-data-analysis is an agent skill from the davila7 claude-code-templates collection, listed on skills.sh. It performs an exploratory data analysis of scientific data files across more than 200 file formats, in several domains. The skill detects the type of each file automatically, then runs analysis specific to that format, extracting metadata and assessing data quality and integrity. It reports statistical summaries and distributions, suggests visualisations and points to downstream analyses that the data could support. The results are written as a markdown report, which is suitable for documentation and for planning the next analysis. The skill's own text says when to use it, so the agent loads it for work on scientific data files rather than for general coding. It suits researchers and data scientists who receive an unfamiliar scientific data file and need a first report on what is in it before they start modelling.
- Price
- Free
- Made by
- davila7
- Category
- AI Skills
- Website
- github.com/davila7/claude-code-templates/exploratory-data-analysis