This package provides a framework for building scientific applications. It aims to bring state of the art software design practices to scientific computing, with the goal of providing a strong skeleton on which to build scientific codes by steering the implementation towards usability and maintainability.

Bottleneck is a collection of fast, NaN-aware NumPy array functions written in C.

Xarray (formerly xray) makes working with labelled multi-dimensional arrays simple, efficient, and fun!

Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures.

The TDDA Python module provides command-line and Python API support for the overall process of data analysis, through tools that perform reference testing, constraint discovery for data, automatic inference of regular expressions from text data and automatic test generation.

python-pandera provides a flexible and expressive API for performing data validation on dataframe-like objects to make data processing pipelines more readable and robust. Dataframes contain information that python-pandera explicitly validates at runtime. This is useful in production-critical data pipelines or reproducible research settings. With python-pandera, you can:

• Define a schema once and use it to validate different dataframe types.

• Check the types and properties of columns.

• Perform more complex statistical validation like hypothesis testing.

• Seamlessly integrate with existing data pipelines via function decorators.

• Define dataframe models with the class-based API with pydantic-style syntax.

• Synthesize data from schema objects for property-based testing.

• Lazily validate dataframes so that all validation rules are executed.

• Integrate with a rich ecosystem of tools like python-pydantic, python-fastapi and python-mypy.

This package provides an efficient implementation of Friedman's SuperSmoother based in Python. It makes use of numpy for fast numerical computation.

This package is an implementation of the Promises/A+ specification and test suite in Python.

Snakemake aims to reduce the complexity of creating workflows by providing a clean and modern domain specific specification language (DSL) in Python style, together with a fast and comfortable execution environment.

Clarabel.rs is a Rust implementation of an interior point numerical solver for convex optimization problems using a novel homogeneous embedding.

unyt is a Python library working with data that has physical units. It defines the unyt.array.unyt_array and unyt.array.unyt_quantity classes (subclasses of NumPy’s ndarray class) for handling arrays and scalars with units,respectively

Einops provides a set of tensor operations for NumPy and multiple deep learning frameworks.

pyvistaqt is a helper module for pyvista to enable you to plot using Qt by placing a vtk-widget into a background renderer. This can be quite useful when you desire to update your plot in real-time.

This is a rewrite of Dask DataFrame that includes query optimization and generally improved organization.

The aiorpcX library is a generic asyncio implementation of RPC suitable for an application that is a client, server or both.

The package includes a module with full coverage of JSON RPC versions 1.0 and 2.0, JSON RPC protocol auto-detection, and arbitrary message framing. It also comes with a SOCKS proxy client.

This package provides a SDK for convenient Pythonic interface to Globus APIs.

This package adds pluggable session backends and ships default InMemoryBackend and CookieBackend implementations for Starlette and FastAPI.

HTTPX is a fully featured HTTP client for Python 3, which provides sync and async APIs, and support for both HTTP/1.1 and HTTP/2.

HTTPX builds on the well-established usability of requests, and gives you:

• A broadly requests-compatible API.

• Standard synchronous interface, but with async support if you need it.

• HTTP/1.1 and HTTP/2 support.

• Ability to make requests directly to WSGI applications or ASGI applications.

• Strict timeouts everywhere.

• Fully type annotated.

• 99% test coverage.

Plus all the standard features of requests:

• International Domains and URLs

• Keep-Alive & Connection Pooling

• Sessions with Cookie Persistence

• Browser-style SSL Verification

• Basic/Digest Authentication

• Elegant Key/Value Cookies

• Automatic Decompression

• Automatic Content Decoding

• Unicode Response Bodies

• Multipart File Uploads

• HTTP(S) Proxy Support

• Connection Timeouts

• Streaming Downloads

• .netrc Support

• Chunked Requests

This package provides a JavaScript to Python translator and a JavaScript interpreter written in pure Python.

Openapi-core is a Python library that adds client-side and server-side support for the OpenAPI Specification v3. It has features such as:

• Validation of requests and responses

• Schema casting and unmarshalling

• Media type and parameters deserialization

• Security providers (API keys, Cookie, Basic and Bearer HTTP authentications)

• Custom deserializers and formats

• Integration with libraries and frameworks.

This package provides a simple Python library that queries multiple geolocation services until one succeeds.

Flask-Session is an extension for Flask that adds support for Server-side sessions, with a variety of different backends for session storage.

This package provides a Python library for communicating with AMQP peers and brokers using the asynchronous networking framework Twisted. It contains all the necessary code to connect, send and receive messages to/from an AMQP-compliant peer or broker (Qpid, OpenAMQ, RabbitMQ) using Twisted. It also includes support for using Thrift RPC over AMQP in Twisted applications.

This package contains a Flask module for creating REST APIs.

Furl provides an easy-to-use alternative to the urllib and urlparse modules for manipulating URLs.