{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/10"}],"enrichment":{"capability":"Provides functional-style utilities for Python including Optional, Stream, Refreshable, and Supplier classes to simplify chaining operations on iterables and managing optional or lazy-evaluated values.","skillfed_tags":["functional-programming","lazy-evaluation","stream-processing"],"use_cases":["Transform and filter sequences with readable chained operations instead of nested loops or list comprehensions","Handle optional configuration values that may be None and propagate transformations conditionally","Pass reactive configuration objects through an application that automatically propagate updates to derived values","Lazily compute expensive values on demand with Supplier and cache results using `.once()`","Process iterables in chunks or apply multiple sequential transformations in a single fluent chain"],"what_it_does":"nr-stream provides four main functional-style abstractions for Python: Stream wraps iterables and chains transformations; Optional represents values that may be None and chains operations conditionally; Refreshable holds a value that can update and propagate changes to derived values; and Supplier lazily evaluates value retrieval with optional chaining. The package aims to simplify code by enabling fluent, chainable operations rather than nested loops or conditional checks.\n\nAll classes support method chaining to build readable transformation pipelines. Stream immediately converts its input to an iterator, meaning you cannot branch streams. Refreshable uses eager evaluation so `.get()` calls are performant. Supplier always evaluates lazily and raises `Supplier.Empty` when no value exists, treating None as a valid value. The package supports Python 3.6 through 3.11 and has no external runtime dependencies.","worth_installing":"No. The package is abandoned (1277 days since last release) with no maintenance activity. While it has no known vulnerabilities and low install friction, the lack of active maintenance makes it risky for new projects. Consider using modern functional libraries or Python's built-in itertools and functools instead, which receive ongoing support."},"id":"nr-stream","links":{"html":"https://skillfed.io/packages/nr-stream","md":"https://skillfed.io/packages/nr-stream.md","pypi":"https://pypi.org/project/nr-stream/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2023-02-14","license_spdx":null,"license_treatment":"permissive","name":"nr-stream","python_support":"supports_current","summary":null},"popularity":{"monthly_downloads":259082,"position":8418,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.1.5"}