more-itertools
Additional routines for operating on iterables beyond itertools.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is more-itertools?
More-iterools extends Python's built-in itertools module with additional functions that make working with iterables more efficient and convenient. It is particularly useful for developers who need to process large datasets or complex sequences in a memory-efficient manner.
Key differentiator
“More-iterools stands out by providing a comprehensive set of additional functions for iterable processing, extending Python's built-in capabilities in a memory-efficient manner.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
more-itertools is exclusively for Python, which can be a limitation if the team needs similar functionality in other languages.
The library's optimizations are most beneficial for large datasets; for smaller data sets, the additional abstraction could introduce unnecessary overhead.
While extensive documentation is available, some less commonly used functions may have sparse or outdated documentation.
Fit analysis
Who is it for?
✓ Best for
Developers working on projects that require efficient and complex iterable processing.
Teams needing to extend the capabilities of itertools for specific use cases.
Projects where memory efficiency is critical during data processing.
✕ Not a fit for
Use cases requiring real-time streaming or high-frequency updates (more-itertools focuses on batch operations).
Scenarios where a web-based UI or managed service is preferred over a library dependency.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
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Next step
Get Started with more-itertools
Step-by-step setup guide with code examples and common gotchas.