attoworld
Tools from the Attosecond science group at the Max Planck Institute of Quantum Optics
Decision gist · record as of 2026-08-14
Yes, with conditions. Install if you work in attosecond physics or collaborate with the Max Planck Attoworld group and can tolerate active development. The package is actively maintained, has no known vulnerabilities, and offers a curated toolkit for the domain. However, the unclear license status and explicit warning that it is still in building phase and not yet validated mean you should review the repository license before production use and treat the API as subject to change.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.8.
- The package includes Rust components compiled via Maturin; pre-built wheels are available for common platforms (Linux, macOS, Windows) but compilation may be needed on unsupported architectures.
- Medium install friction due to 8 runtime dependencies including numpy, scipy, matplotlib, h5py, pandas, and pywavelets.
License · maintenance · safety
(unclear) — License status is unclear—no SPDX identifier or raw license text is declared. Before production use, verify the actual license terms with the repository maintainers.
last release 2026-06-25 (50 days) · last repo commit 2026-07-01 · 2 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 162,715 downloads/mo, #10,591 on PyPI
Alternatives
Verify before relying
pip install attoworld
import attoworld
# Access submodules: attoworld.data, attoworld.numeric, attoworld.plot, attoworld.wave, attoworld.spectrum- Stability guarantees or timeline for moving out of 'building phase' and validating core functionality.
- Whether the 'personal' submodule is intended for end-user consumption or internal use only.
- Specific use cases or domains where the package has been validated in production.
What it is and what it does
Attoworld is a Python library bundling research tools from the Attosecond science group at the Max Planck Institute of Quantum Optics. It organizes functionality into submodules for data handling (various lab data formats), numerical computation, waveform and pulse processing, spectrum analysis, plotting with consistent styling, and a Rust-backed component for performance-critical operations. The package depends on established scientific Python libraries: numpy, scipy, matplotlib, pandas, h5py, and pywavelets.
The package is explicitly in active development and not yet fully validated. It is designed to share code within the research group and potentially with the broader community, but the developers warn that things may change and should be used at your own risk. It supports Python 3.8 and later, with pre-built wheels for most common Linux, macOS, and Windows architectures.
Use it for
- Processing and analyzing attosecond-scale waveforms and pulses in experimental physics workflows.
- Reading, transforming, and managing specialized data formats used across Max Planck attosecond labs.
- Computing numerical operations on spectral and temporal data with performance-critical sections accelerated by Rust.
- Generating publication-ready plots with consistent styling for attosecond physics research.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
Install if you work in attosecond physics or collaborate with the Max Planck Attoworld group and can tolerate active development. The package is actively maintained, has no known vulnerabilities, and offers a curated toolkit for the domain. However, the unclear license status and explicit warning that it is still in building phase and not yet validated mean you should review the repository license before production use and treat the API as subject to change.
Install
attoworld on PyPI
Before you install
Medium install friction due to 8 runtime dependencies including numpy, scipy, matplotlib, h5py, pandas, and pywavelets. The package is actively maintained with recent releases, though it explicitly states it is still in building phase and things may change.
Requires Python >=3.8. The package includes Rust components compiled via Maturin; pre-built wheels are available for common platforms (Linux, macOS, Windows) but compilation may be needed on unsupported architectures.
License in practice
License status is unclear—no SPDX identifier or raw license text is declared. Before production use, verify the actual license terms with the repository maintainers.
Quickstart
pip install attoworld
import attoworld
# Access submodules: attoworld.data, attoworld.numeric, attoworld.plot, attoworld.wave, attoworld.spectrumVerify before relying
- Stability guarantees or timeline for moving out of 'building phase' and validating core functionality.
- Whether the 'personal' submodule is intended for end-user consumption or internal use only.
- Specific use cases or domains where the package has been validated in production.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 8 packagesnumpyscipymatplotlibpyyamlmarimoh5pypandaspywavelets |
| Maintenance | Actively maintained 50 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 162,715 / month, #10,591 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyProgramming Language :: Rust |
Evidence: attoworld-2026.2.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; attoworld-2026.2.8-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl; attoworld-2026.2.8-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl; attoworld-2026.2.8-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl; attoworld-2026.2.8-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl; attoworld-2026.2.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; attoworld-2026.2.8-cp310-cp310-musllinux_1_2_aarch64.whl; attoworld-2026.2.8-cp310-cp310-musllinux_1_2_armv7l.whl; attoworld-2026.2.8-cp310-cp310-musllinux_1_2_i686.whl; attoworld-2026.2.8-cp310-cp310-musllinux_1_2_x86_64.whl; attoworld-2026.2.8-cp310-cp310-win_amd64.whl; attoworld-2026.2.8-cp311-cp311-macosx_10_12_x86_64.whl; attoworld-2026.2.8-cp311-cp311-macosx_11_0_arm64.whl; attoworld-2026.2.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl; attoworld-2026.2.8-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl; attoworld-2026.2.8-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl; attoworld-2026.2.8-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl; attoworld-2026.2.8-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl; attoworld-2026.2.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl; attoworld-2026.2.8-cp311-cp311-musllinux_1_2_aarch64.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “attosecond physics tools”
- attoworldAttoworld provides data handling, numerical processing, waveform…
- mt2Computes stransverse mass (MT2) for particle physics calculations,…
- lscsoft-glueLSCSoft-GLUE provides utilities and grid access tools for running…
Give your agent the search over MCP, or paste the wish link into any chat.
More Scientific/Engineering packages
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
pandas provides fast, flexible data structures (Series and DataFrame) for loading, cleaning, transforming, and analyzing labeled or relational data in Python.
scipy provides numerical algorithms for mathematics, science, and engineering—including optimization, integration, linear algebra, Fourier transforms, signal and image processing, and ODE solvers—built on numpy arrays.
scikit-learn provides a comprehensive Python library for supervised and unsupervised machine learning, including classification, regression, clustering, dimensionality reduction, and model evaluation tools built on NumPy and SciPy.
Install it if you need to train, evaluate, or deploy supervised or unsupervised learning models.
dill extends Python's pickle module to serialize and deserialize a much wider range of Python objects, including functions, lambdas, classes, and interpreter sessions, to byte streams for storage or network transmission.
Multiprocess is an enhanced fork of Python's standard multiprocessing library that uses dill for better serialization, allowing you to spawn processes with a threading-like API and share complex objects between them.
Install it if you use multiprocessing and encounter pickle serialization limits with lambdas or complex objects.
See also qualang-tools · broadbean · libhreels · dttlib · qutip · wavedrom · lalsuite · hankel · openpulse · dwave-networkx