Research this topic
Explore the main themes, entities and connections around NaCl (software). Start with the topic map, then use the sections below for research and deeper semantic analysis.
Explore this topic
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
Implementations
Functions
Overview
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
- License
- public domain
- Operating system
- UNIX-like
- Original authors
- Daniel J. Bernstein, Tanja Lange, Peter Schwabe
- Release
- 2008; 18 years ago (2008)
- Stable release
- 20110221 / February 21, 2011; 15 years ago (2011-02-21)
Topics to explore
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.Browse the full topic structure. Each item opens a new analysis centered on that subject.
Overview
Functions
- Scalar multiplication
- X25519
- Elliptic-curve Diffie–Hellman
- Signatures Digital signatures
- Ed25519
- Salsa20-Poly1305 ChaCha20-Poly1305
- Encryption
- Salsa20
- AES Advanced Encryption Standard
- Authentication
- HMAC-SHA-512-256 HMAC
- Poly1305
- Hashing Cryptographic hash function
- SHA-512
- SHA-256
Implementations
- Inline assembly Inline assembler
- C++
- Python Python (programming language)
- Fork Fork (software development)
- Dynamic library
- Software package Package manager
- Build files Build automation
- Bindings Language binding
- Squeak Squeak (programming language)
- Pharo
- BLAKE2
- Random number generation Cryptographically secure pseudorandom number generator
- Password hashing and key derivation Key derivation function
- Tweets Twitter
- Ports Porting
- SPARK Ada subset SPARK (programming language)
- Rust Rust (programming language)
- Protected memory
Advanced semantic analysis
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.NaCl (software)
How this topic connects Entity context
Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.See the strongest relationship patterns around the current topic before diving into the raw triples.
NaCl (software)
Top relations
Important terminology Word statistics
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Important terminology
nacl crypto encryption also using cryptography libsodium tweetnacl daniel bernstein team tanja lange peter schwabe library software libraries api authenticated
Entity relationships Subject–Predicate–Object triples
Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| NaCl (software) | License | public domain | 1.00 | infobox |
| NaCl (software) | Operating system | UNIX-like | 1.00 | infobox |
| NaCl (software) | Original authors | Daniel J. Bernstein, Tanja Lange, Peter Schwabe | 1.00 | infobox |
| NaCl (software) | Release | 2008; 18 years ago (2008) | 1.00 | infobox |
| NaCl (software) | Stable release | 20110221 / February 21, 2011; 15 years ago (2011-02-21) | 1.00 | infobox |
| NaCl (software) | Website | nacl.cr.yp.to | 1.00 | infobox |
| side-channel leakage | instance of | The team does so by safer designs that avoid issues | 0.80 | text |
| loss of randomness | instance of | The team does so by safer designs that avoid issues | 0.80 | text |
| by being performant enough that safety features do not get disabled by the user | instance of | The team does so by safer designs that avoid issues | 0.80 | text |
| and by picking better cryptographic primitives | instance of | The team does so by safer designs that avoid issues | 0.80 | text |
| Squeak | instance of | it serves as the basis for a number of bindings in languages | 0.80 | text |
| Pharo | instance of | it serves as the basis for a number of bindings in languages | 0.80 | text |
Related concept clusters Concept neighborhoods
Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.These clusters group vocabulary that occurs around closely connected concepts in the source material.
Connections between topic areas Semantic bridges
Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.