Package Health Score

93 / 100

security
No known security issues
popularity
Key ecosystem project
maintenance
Healthy
community
Active

Popularity

Key ecosystem project

Total Weekly Downloads (13,842,055)

GitHub Stars: 3.27K
Forks: 263
Contributors: 110

Direct Usage Popularity

The PyPI package more-itertools receives a total of 13,842,055 downloads a week. As such, we scored more-itertools popularity level to be Key ecosystem project.

Based on project statistics from the GitHub repository for the PyPI package more-itertools, we found that it has been starred 3,271 times.

The download numbers shown are the average weekly downloads from the last 6 weeks.

Security

No known security issues

Security and license risk for latest version

Release Date: Aug 3, 2023
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 15
Open PR: 2
Last Release: 4 months ago
Last Commit: 11 days ago

Further analysis of the maintenance status of more-itertools based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that more-itertools demonstrates a positive version release cadence with at least one new version released in the past 12 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 110
Funding: No

A good and healthy external contribution signal for more-itertools project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Package

Python Versions Compatibility: >=3.8

Age: 12 years
Latest Release: 4 months ago
Dependencies: N/A
Versions: 44
Maintainers: 2
Wheels: OS Independent

Readme

More Itertools

Python's itertools library is a gem - you can compose elegant solutions for a variety of problems with the functions it provides. In more-itertools we collect additional building blocks, recipes, and routines for working with Python iterables.

Grouping	chunked, ichunked, chunked_even, sliced, constrained_batches, distribute, divide, split_at, split_before, split_after, split_into, split_when, bucket, unzip, batched, grouper, partition, transpose
Lookahead and lookback	spy, peekable, seekable
Windowing	windowed, substrings, substrings_indexes, stagger, windowed_complete, pairwise, triplewise, sliding_window, subslices
Augmenting	count_cycle, intersperse, padded, repeat_each, mark_ends, repeat_last, adjacent, groupby_transform, pad_none, ncycles
Combining	collapse, sort_together, interleave, interleave_longest, interleave_evenly, zip_offset, zip_equal, zip_broadcast, dotproduct, convolve, flatten, roundrobin, prepend, value_chain, partial_product
Summarizing	ilen, unique_to_each, sample, consecutive_groups, run_length, map_reduce, exactly_n, is_sorted, all_equal, all_unique, minmax, first_true, quantify, iequals
Selecting	islice_extended, first, last, one, only, strictly_n, strip, lstrip, rstrip, filter_except, map_except, nth_or_last, unique_in_window, before_and_after, nth, take, tail, unique_everseen, unique_justseen, duplicates_everseen, duplicates_justseen, longest_common_prefix, takewhile_inclusive
Combinatorics	distinct_permutations, distinct_combinations, circular_shifts, partitions, set_partitions, product_index, combination_index, permutation_index, combination_with_replacement_index, gray_product, outer_product, powerset, random_product, random_permutation, random_combination, random_combination_with_replacement, nth_product, nth_permutation, nth_combination, nth_combination_with_replacement
Wrapping	always_iterable, always_reversible, countable, consumer, with_iter, iter_except
Others	locate, rlocate, replace, numeric_range, side_effect, iterate, difference, make_decorator, SequenceView, time_limited, map_if, iter_index, consume, tabulate, repeatfunc, polynomial_from_roots, polynomial_eval, polynomial_derivative, sieve, factor, matmul, sum_of_squares

Getting started

To get started, install the library with pip:

pip install more-itertools

The recipes from the itertools docs are included in the top-level package:

&gt;&gt;&gt; from more_itertools import flatten
&gt;&gt;&gt; iterable = [(0, 1), (2, 3)]
&gt;&gt;&gt; list(flatten(iterable))
[0, 1, 2, 3]

Several new recipes are available as well:

&gt;&gt;&gt; from more_itertools import chunked
&gt;&gt;&gt; iterable = [0, 1, 2, 3, 4, 5, 6, 7, 8]
&gt;&gt;&gt; list(chunked(iterable, 3))
[[0, 1, 2], [3, 4, 5], [6, 7, 8]]

&gt;&gt;&gt; from more_itertools import spy
&gt;&gt;&gt; iterable = (x * x for x in range(1, 6))
&gt;&gt;&gt; head, iterable = spy(iterable, n=3)
&gt;&gt;&gt; list(head)
[1, 4, 9]
&gt;&gt;&gt; list(iterable)
[1, 4, 9, 16, 25]

For the full listing of functions, see the API documentation.

Links elsewhere

Blog posts about more-itertools:

Development

more-itertools is maintained by @erikrose and @bbayles, with help from many others. If you have a problem or suggestion, please file a bug or pull request in this repository. Thanks for contributing!

Version History

The version history can be found in documentation.

FAQs

What is more-itertools?

More routines for operating on iterables, beyond itertools. Visit Snyk Advisor to see a full health score report for more-itertools, including popularity, security, maintenance & community analysis.

Is more-itertools popular?

The python package more-itertools receives a total of 13,842,055 weekly downloads. As such, more-itertools popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is more-itertools well maintained?

We found that more-itertools demonstrated a healthy version release cadence and project activity. It has a community of 110 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is more-itertools safe to use?

The python package more-itertools was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 2 December-2023, at 10:54 (UTC).

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more-itertools

More routines for operating on iterables, beyond itertools For more information about how to use this package see README

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Package Health Score

Popularity

Total Weekly Downloads (13,842,055)

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

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Package

Readme

More Itertools

Getting started

Links elsewhere

Development

Version History

FAQs

What is more-itertools?

Is more-itertools popular?

Is more-itertools well maintained?

Is more-itertools safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Total Weekly Downloads (13,842,055)

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

More Itertools

Getting started

Links elsewhere

Development

Version History

FAQs

What is more-itertools?

Is more-itertools popular?

Is more-itertools well maintained?

Is more-itertools safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

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