Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
StuffIt Expander is a proprietary, freeware, closed source, decompression software utility developed by Allume Systems (a subsidiary of Smith Micro Software formerly known as Aladdin Systems). It runs on the classic Mac OS, macOS, and Windows. Prior to 2011, a Linux version had also been available for download.
Overview, Related Topics & Entities
Explore the main themes, entities and connections around StuffIt Expander. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
stuffit mac version expander windows classic os file versions 2011 format decompress formats sit software decompression stand-alone zip freeware macos
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| StuffIt Expander | Developer | Smith Micro Software | 1.00 | infobox |
| StuffIt Expander | License | Freeware | 1.00 | infobox |
| StuffIt Expander | Operating system | Classic Mac OS, macOS, Windows | 1.00 | infobox |
| StuffIt Expander | Stable release | 16.2 / December 21, 2020 (2020-12-21) | 1.00 | infobox |
| StuffIt Expander | Type | File Extractor/Decompressor | 1.00 | infobox |
| StuffIt Expander | Website | Stuffit Homepage | 1.00 | infobox |
| StuffIt Expander | is a | proprietary | 0.90 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.