Packages
Pygexf writes network graph data to GEXF (Graph Exchange XML Format) files, enabling export of graph structures for use in network analysis and visualization tools.
Highdicom provides a high-level Python API for reading, writing, and manipulating DICOM medical image files, with particular focus on machine learning and computational analysis workflows.
Install it if you work with DICOM files in machine learning or computational analysis contexts.
LMCache is a KV cache management layer that stores, reuses, and monitors transformer key-value caches across LLM inference requests, reducing time-to-first-token and improving throughput for long-context workloads.
Provides a graphical interface for discovering, installing, updating, and uninstalling napari plugins through both pip and conda package managers.
Async-tiff is a low-level, high-performance TIFF reader for Python that fetches and decodes tiles from TIFF files asynchronously, particularly suited for cloud-hosted geospatial imagery.
However, verify the license terms first (currently unclear in metadata) and confirm that S3 or your storage backend is supported.
Integrates U.S. Energy Information Administration (EIA) data into the OpenBB Platform, providing access to petroleum status reports and energy outlook data via API.
However, the AGPL-3.0 license restricts use in proprietary closed-source projects, and you must obtain a free EIA API key to use most endpoints.
Ripser computes persistent homology and persistence diagrams for point clouds and sparse/dense datasets, enabling topological data analysis through an interface wrapping the fast C++ Ripser engine.
Provides a pragmatic data model and validation toolkit for entities in investigative reporting and financial crime research—people, companies, assets, payments, ownership relations, court cases—with CLI tools for data transformation and mapping.
Geobuf encodes GeoJSON to a compact binary format and decodes it back, achieving 6-8x compression over raw GeoJSON while preserving all data losslessly.
Libhreels reads, analyzes, and simulates high-resolution electron energy loss spectroscopy (HREELS) data from Delta05 spectrometers, with tools for plotting, peak selection, and computing full HREEL spectra via Fortran-based calculations.
However, do not install if you need Fortran-based spectrum simulation on Python versions other than 3.8 on Linux, or if you require legal clarity on licensing before…
Detects and corrects image skew (rotation) in documents and text-containing images by calculating the rotation angle and providing tools to straighten them.
Install it if you need to detect or correct image rotation in text-heavy documents.
Madoka implements a Count-Min sketch data structure for memory-efficient counting of string-int pairs in streaming data, with lower memory overhead than Python dict or Counter.
AbNumber provides Python APIs to number and align antibody sequences using ANARCI, enabling CDR region identification, sequence indexing by antibody numbering schemes, and alignment to human germlines.
However, note the aging maintenance status (452 days since last release) and Unix/macOS-only requirement.
Fetch and analyze Google Trends data including search interest over time, geographic distribution, related queries, and real-time trending searches.
However, the project is dormant (no updates since December 2024), so be prepared to fork or patch if Google changes its endpoint or if bugs emerge.
Scikit-multilearn performs multi-label classification tasks using problem-transformation and algorithm-adaptation methods, built on numpy and scikit-learn with a compatible API.
Backtest trading strategies on Taiwan stock market data by writing simple pandas-based logic, with historical data for 2000 stocks and detailed performance analysis.
PyAEDT provides a Python API to script and automate Ansys Electronics Desktop (AEDT), including its 3D solvers (HFSS, Maxwell, Icepak, Q3D), 2D tools, circuit simulators, and layout tools.
pdbufr reads BUFR (Binary Universal Form for the Representation of meteorological data) files into Pandas DataFrames using the ecCodes library for decoding.