DataLab is an **open-source platform for scientific and technical data processing and visualization** with unique features designed to meet industrial requirements.

Try DataLab online, without installing anything, using Binder:

See DataLab website for more details.

Note: This project (DataLab Platform) should not be confused with the datalab-org project, which is a separate and unrelated initiative focused on materials science databases and computational tools.

ℹ️ Created by CODRA/Pierre Raybaut in 2023, developed and maintained by DataLab Platform Developers.

🧮 DataLab's processing power comes from the advanced algorithms of the object-oriented signal and image processing library Sigima 🚀 which is part of the DataLab Platform.

ℹ️ DataLab is powered by PlotPyStack 🚀 for curve plotting and fast image visualization.

ℹ️ DataLab is built on Python and scientific libraries.

Key Features

• Signal processing (1D): FFT, filtering, fitting, peak detection, stability analysis, and more
• Image processing (2D): filtering, morphology, edge detection, blob detection, and more
• Extensible plugin system with hot-reload support
• Macro system for Python-based automation
• Remote control via XML-RPC for integration with Jupyter, Spyder, or any IDE
• Web API (HTTP/JSON) for notebook integration and remote control from any HTTP client
• HDF5 support for data import/export
• Batch processing with ROI (Region of Interest) support

✨ Add features to DataLab by writing your own plugin (see plugin examples) or macro (see macro examples)

✨ DataLab may be remotely controlled from a third-party application (such as Jupyter, Spyder or any IDE):

• Using the integrated remote control

feature (this requires to install DataLab as a Python package)

• Using the Web API

(HTTP/JSON server for notebook integration and WASM/Pyodide environments)

• Using the lightweight client integrated in Sigima (pip install sigima)

Installation

DataLab requires Python 3.9+.

From PyPI:

pip install datalab-platform

From conda-forge:

conda install -c conda-forge datalab-platform

See the installation guide for more options (standalone installer, WinPython, offline installation, etc.).

---

Contributing

Contributions are welcome! See the contributing guide or the CONTRIBUTING.md file for details.