SciREPL

SciREPL is a mobile-first scientific notebook that runs Python, R, Prolog, Bash, and JavaScript — all in the same notebook, with per-cell language switching. No server. No setup. Just open the app and start computing.

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🔬 MULTI-LANGUAGE NOTEBOOKS
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Mix Python, R, Prolog, Bash, and JavaScript in a single notebook. Each cell runs in its own language kernel — switch languages per cell, just like Jupyter, but fully on-device.

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📡 FULLY OFFLINE — POWERED BY WEBASSEMBLY
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All execution is local. Python runs via Pyodide (WASM), R via webR, SWI-Prolog via swipl-wasm, and Bash via brush-wasm (Rust reimplementation of coreutils). Runtimes download once and cache for offline use. Your data never leaves your device.

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🐍 PYTHON — WITH NUMPY, SYMPY & MATPLOTLIB
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NumPy and SymPy are preloaded. Install pure-Python PyPI packages with %pip install. Plot with Matplotlib (inline PNG) or interactive Plotly charts. LaTeX math renders inline from SymPy expressions.

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📊 R — FULL TIDYVERSE SUPPORT
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Run R with install.packages(), ggplot2 dark-theme integration, and interactive Plotly charts via plotly(). Includes sample workbooks for statistics, tidyverse data wrangling, and ggplot2 visualizations.

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🧠 PROLOG — FULL SWI-PROLOG ENGINE
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Assert facts, write rules, and query solutions — full SWI-Prolog via swipl-wasm. Cross-kernel WASM FFI lets Python, JavaScript, and Prolog call shared Rust WASM libraries.

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🗂️ SHARED FILESYSTEM ACROSS ALL KERNELS
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SharedVFS is an in-memory filesystem accessible from every language kernel simultaneously. Write a file in Python, read it in R or Bash. Files persist across sessions via IndexedDB.

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📁 NOTEBOOKS & EXPORT
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• Multi-tab notebooks with rename and drag-and-drop reordering
• Import/export .ipynb (with outputs), .py, .pl
• Export to HTML, Markdown, PDF, DOCX, or LaTeX
• Session auto-saves