Provides a high-level interface to the ECWMF ECCODES C library for reading GRIB files. There are limited capabilities for writing GRIB files (you can modify the contents of an existing file, but you can't create one from scratch).
This package provides a set of helpers for matplotlib to more easily produce plots typically needed in HEP as well as style them in way that's compatible with current collaboration requirements (ROOT-like plots for CMS, ATLAS, LHCb, ALICE).
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text, Stanza divides it into sentences and words, and then can recognize parts of speech and entities, do syntactic analysis, and more.
asprin is a general framework for optimization in ASP, that allows for computing optimal stable models of logic programs by means of preferences. Some preference types are already predefined, but more can be added as logic programs.
psleak is a testing framework for detecting memory leaks and unclosed resources created by Python functions, particularly those implemented in C extensions.
It was originally developed as part of psutil test suite, and later split out into a standalone project.
This package provides access to the Stripe financial services' API. It includes a pre-defined set of classes for API resources that initialize themselves dynamically from API responses which makes it compatible with a wide range of versions of the Stripe API.
Orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively.
Pifpaf is a suite of fixtures and a command-line tool that starts and stops daemons for a quick throw-away usage. This is typically useful when needing these daemons to run integration testing. It originally evolved from its precursor overtest.
NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.
This package provides a Python API for the TREXIO library, which enables interactive calls to the library. It facilitates the development of interfaces between different codes and can be used to convert data from one input/output file format into another.
pybids provides a set of tools for working with BIDS datasets. The BIDS standard aims at organizing and describing neuroimaging data in a uniform way in order to facilitate data sharing within the scientific community.
Carbon is a backend data caching and persistence daemon for Graphite. Carbon is responsible for receiving metrics over the network, caching them in memory for "hot queries" from the Graphite-Web application, and persisting them to disk using the Whisper time-series library.
Vector is a Python library for 2D and 3D spatial vectors, as well as 4D space-time vectors. It is especially intended for performing geometric calculations on arrays of vectors, rather than one vector at a time in a Python for loop.
Invoke is a Python task execution tool and library, drawing inspiration from various sources to arrive at a powerful and clean feature set. It is evolved from the Fabric project, but focuses on local and abstract concerns instead of servers and network commands.
Read one-dimensional barcodes and QR codes using the zbar library.
Features:
Pure python
Works with PIL / Pillow images, OpenCV / numpy ndarrays, and raw bytes
Decodes locations of barcodes
No dependencies, other than the zbar library itself
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. It provides many tools for building any Web site. Django focuses on automating as much as possible and adhering to the don't repeat yourself (DRY) principle.
Captum is a model interpretability and understanding library for PyTorch. Captum contains general purpose implementations of integrated gradients, saliency maps, smoothgrad, vargrad and others for PyTorch models. It has quick integration for models built with domain-specific libraries such as torchvision, torchtext, and others.
This package includes a variety of tools used to analyze persistence diagrams. It currently houses implementations of
Persistence images
Persistence landscapes
Bottleneck distance
Modified Gromov–Hausdorff distance
Sliced Wasserstein kernel
Heat kernel
Diagram plotting
rJSmin is a javascript minifier written in Python. The minifier is based on the semantics of jsmin.c by Douglas Crockford. The module is a re-implementation aiming for speed, so it can be used at runtime (rather than during a preprocessing step).
PyYAML is a YAML parser and emitter for Python. PyYAML features a complete YAML 1.1 parser, Unicode support, pickle support, capable extension API, and sensible error messages. PyYAML supports standard YAML tags and provides Python-specific tags that represent an arbitrary Python object.
Bandit is a tool designed to find common security issues in Python code. To do this Bandit processes each file, builds an AST from it, and runs appropriate plugins against the AST nodes. Once Bandit has finished scanning all the files it generates a report.
Pydbus provides a pythonic interface to the D-Bus message bus system. Pydbus can be used to access remote objects and also for object publication. It is based on PyGI, the Python GObject Introspection bindings, which is the recommended way to use GLib from Python.
Pydbus provides a pythonic interface to the D-Bus message bus system. Pydbus can be used to access remote objects and also for object publication. It is based on PyGI, the Python GObject Introspection bindings, which is the recommended way to use GLib from Python.
PyStoG is a Python package for converting between different total scattering functions used in crystalline and amorphous materials research. It handles reciprocal-space structure factors and real-space pair distribution functions, performing Fourier transforms between them and applying filters to remove spurious artifacts in the data.