scitex.ai · pip install scitex
Modular Python toolkit for scientific research automation — with verification features to ease peer review.
Empowers both human researchers and AI agents. Each module works independently and adapts to various academic workflows, handling primary and secondary research with real or simulated data.
SciTeX is fully modular; every module is opt-in and exposed only when operational.
40 min, zero human intervention — AI agent conducts full research pipeline:
Literature search → Data analysis → Statistics → Figures → 21-page manuscript → Peer review simulation
uv pip install scitex # Core (minimal)
uv pip install scitex[plt,stats,scholar] # Typical research setup
uv pip install scitex[all] # Recommended: Full installationModular environment configuration via .env.d/:
Details
# 1. Copy examples
cp -r .env.d.examples .env.d
# 2. Edit with your credentials
$EDITOR .env.d/
# 3. Source in shell (~/.bashrc or ~/.zshrc)
source /path/to/.env.d/entry.srcStructure:
.env.d/
├── entry.src # Single entry point
├── 00_scitex.env # Base settings (SCITEX_DIR)
├── 00_crossref-local.env # CrossRef database
├── 00_figrecipe.env # Plotting config
├── 01_scholar.env # OpenAthens, API keys
├── 01_audio.env # TTS backends
└── ... # Per-module configs
🐍 Python API for Humans and AI Agents
@stx.session — Reproducible Experiment Tracking
import scitex as stx
@stx.session
def main(filename="demo.jpg"):
fig, ax = stx.plt.subplots()
ax.plot_line(t, signal)
ax.set_xyt("Time (s)", "Amplitude", "Title")
stx.io.save(fig, filename)
return 0Output:
script_out/FINISHED_SUCCESS/2025-01-08_12-30-00_AbC1/
├── demo.jpg # Figure with embedded metadata
├── demo.csv # Auto-exported plot data
├── CONFIGS/CONFIG.yaml # Reproducible parameters
└── logs/{stdout,stderr}.log # Execution logs
stx.io — Universal File I/O (30+ formats)
stx.io.save(df, "output.csv")
stx.io.save(fig, "output.jpg")
df = stx.io.load("output.csv")stx.stats — Publication-Ready Statistics (23 tests)
result = stx.stats.test_ttest_ind(group1, group2, return_as="dataframe")
# Includes: p-value, effect size, CI, normality check, power🖥️ CLI Commands for Humans and AI Agents
scitex --help-recursive # Show all commands
scitex scholar fetch "10.1038/..." # Download paper by DOI
scitex scholar bibtex refs.bib # Enrich BibTeX
scitex stats recommend # Suggest statistical tests
scitex audio speak "Done" # Text-to-speech
scitex capture snap # Screenshot
# List available APIs and tools
scitex list-python-apis # List all Python APIs (210 items)
scitex mcp list-tools # List all MCP tools (148 tools)
scitex introspect api scitex.stats # List APIs for specific module🔧 MCP Tools — 148 tools for AI Agents
Turn AI agents into autonomous scientific researchers.
Typical workflow: Scholar (find papers) → Stats (analyze) → Plt (visualize) → Writer (manuscript) → Capture (verify)
| Category | Tools | Description |
|---|---|---|
| scholar | 23 | PDF download, metadata enrichment |
| stats | 10 | Automated statistical testing |
| plt | 9 | Matplotlib figure creation |
| capture | 12 | Screen monitoring and capture |
| audio | 10 | Text-to-speech, audio playback |
| introspect | 11 | Python introspection |
| diagram | 7 | Mermaid and flowchart creation |
| canvas | 7 | Scientific figure canvas |
| social | 9 | Social media posting |
| template | 4 | Project scaffolding |
| ui | 5 | Notifications |
| writer | 1 | LaTeX manuscript compilation |
Claude Desktop (~/.config/claude/claude_desktop_config.json):
{
"mcpServers": {
"scitex": {
"command": "/home/ywatanabe/.venv/bin/scitex",
"args": ["mcp", "start"],
"env": {
"SCITEX_ENV_SRC": "${SCITEX_ENV_SRC}"
}
}
}
}SciTeX integrates several standalone packages that can be used independently:
Details
| Package | scitex Module | Description |
|---|---|---|
| figrecipe | scitex.plt |
Publication-ready matplotlib figures |
| crossref-local | scitex.scholar.crossref_scitex |
Local CrossRef database (167M+ papers) |
| openalex-local | scitex.scholar.openalex_scitex |
Local OpenAlex database (250M+ papers) |
| socialia | scitex.social |
Social media posting (Twitter, LinkedIn) |
| scitex-writer | scitex.writer |
LaTeX manuscript compilation |
| scitex-dataset | scitex.dataset |
Scientific dataset access |
Each package works standalone or as part of scitex:
pip install figrecipe # Use independently
pip install scitex[plt] # Or via scitex- Read the Docs: Complete API reference
- Example Notebooks: 25+ Jupyter notebooks
We welcome contributions! See CONTRIBUTING.md.