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)
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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
On NixOS, DataLab is available from the NGI Forge, packaged by the Nix@NGI team (an NLnet partner) as part of DataLab's NGI0 Commons Fund grant.
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.
2 maintainers
Metadata
2 maintainers
Release files for datalab-platform 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datalab_platform-1.3.0.tar.gz | 79.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datalab_platform-1.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 126.2 MB
Release files / datalab_platform-1.3.0.tar.gz
| Download URL | datalab_platform-1.3.0.tar.gz |
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| Size | 79.5 MB |
| Tags | Source |
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Yes |
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Transparency logRelease files / datalab_platform-1.3.0-py3-none-any.whl
| Download URL | datalab_platform-1.3.0-py3-none-any.whl |
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| Size | 46.7 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 3, 2026.
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