market-research

open_deep_research: Deep Market Insights for Data‑Driven Founders

Name: open_deep_research: Deep Market Insights for Data‑Driven Founders
Author: langchain-ai

Leverage open_deep_research’s Python engine to scrape and analyze market data, giving startup founders fast, evidence‑based decisions. Backed by 13k+ GitHub stars.

12,684 stars1,853 forksPythonGuide quality 9/10 · reviewed Oct 8Updated 8/10/2026100% free · open source

What it does

Open Deep Research is a tool that enables users to search and retrieve academic papers and research articles from various databases and repositories using natural language queries.

When to use it

•When you need to find relevant research papers for a specific topic or project
•When you want to explore the latest developments in a particular field or industry
•When you need to gather references or citations for a research paper or report

Ready-to-paste prompt

python scripts/search.py --query 'explain the concept of transfer learning in deep learning' --database arxiv --num_results 10

Heads up: Make sure you have the necessary dependencies installed, including `transformers` and `torch`, and that you have a stable internet connection to download the models and data

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/open-deep-research && curl -fsSL https://workflowstacks.com/api/skills/open-deep-research/claude-skill -o ~/.claude/skills/open-deep-research/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How open_deep_research: Deep Market Insights for Data‑Driven Founders works

Codeflow

Free to inspect

Open_deep_research: Deep Market Insights for Data‑Driven Founders is a medium Python project (~6.3k lines across 13 code files, plus 9 test files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit a month ago, MIT license, has a test suite.

Size

Medium codebase

~6.3k lines · 13 code files · 52 min skim

Setup

Some technical setup

Comfortable with a terminal? 20–40 min. Otherwise ask a dev.

Runs on

Python

Needs API keys (.env)

Python 70%Jupyter Notebook 30%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
CLAUDE.md
The instructions the AI actually follows
3
pyproject.toml
Dependencies and the commands it exposes
4
.env.example
The API keys and settings you must provide
5
src/legacy/__init__.py
Inside src/ — the main logic begins here

What's in each folder

src/Core code — the actual logic21 files

examples/Examples you can copy4 files

tests/Tests — proof it works9 files

.github/CI / automation (GitHub Actions)3 files

READMEHas testsDocumentedCI checksExamples includedMIT licenseUpdated this monthArchived — read only