nr-stream
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with no runtime dependencies.
- Package is abandoned as of 1277 days since last release, with no recent maintenance activity.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; you must include the license text in distributions.
last release 2023-02-14 (1277 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 259,082 downloads/mo, #8,418 on PyPI
Alternatives
Verify before relying
pip install nr-stream
from nr.stream import Stream, Optional, Supplier
values = [3, 6, 4, 7, 1, 2, 5]
result = list(Stream(values).chunks(values, 3, fill=0).map(sum))
opt = Optional(None)
opt_mapped = opt.map(lambda v: v + 1)
sup = Supplier.of(42)
value = sup.map(lambda v: v * 2).get()- Whether the abandoned status affects real-world reliability or if the package is stable enough for production use
- Performance characteristics when chaining many operations on large iterables
- Whether Stream's immediate iterator conversion causes issues in practice for typical use cases
What it is and 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.
All 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.
Use it for
- 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
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
nr-stream on PyPI
Before you install
Low install friction with no runtime dependencies. Package is abandoned as of 1277 days since last release, with no recent maintenance activity.
License in practice
MIT license permits commercial and private use with minimal restrictions; you must include the license text in distributions.
Quickstart
pip install nr-stream
from nr.stream import Stream, Optional, Supplier
values = [3, 6, 4, 7, 1, 2, 5]
result = list(Stream(values).chunks(values, 3, fill=0).map(sum))
opt = Optional(None)
opt_mapped = opt.map(lambda v: v + 1)
sup = Supplier.of(42)
value = sup.map(lambda v: v * 2).get()Verify before relying
- Whether the abandoned status affects real-world reliability or if the package is stable enough for production use
- Performance characteristics when chaining many operations on large iterables
- Whether Stream's immediate iterator conversion causes issues in practice for typical use cases
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.6,<4.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,277 days since the last release |
| First released | |
| Downloads | 259,082 / month, #8,418 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: nr_stream-1.1.5-py3-none-any.whl
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See also first · flupy · pipe · maybe-else · vine · reactivex · wraps · aiostream · lmz · iterproxy