rand_chacha
A set of Rust libraries for pseudo-random number generation with multiple algorithms and deterministic seeding
- Vendor
- Github
- Also known as
- rand-chacha, rand_chacha
Available worldwide
What is rand_chacha?
Open-source Rust crates providing random number generators including ChaCha, with support for various platforms and reproducible results. Designed for speed, correctness, and flexibility.
rand_chacha pricing
We don't have rand_chacha's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Platform & deployment
Independently observed- CLI
- Web
Security & compliance
Known vulnerabilities: 1 (1 in the last 12 months), max severity LOW sourcea count reflects scale & disclosure, not quality
rand_chacha FAQ
Common questions about rand_chacha, answered from independent, dated evidence.
What is rand_chacha?
rand_chacha is a random number generation library for the Rust programming language that implements the ChaCha algorithm. It enables Rust applications to generate random numbers.
Is rand_chacha free to use?
Yes, rand_chacha is open-source software and is available at no cost. There are no licensing fees or subscription costs.
Can I view and modify the source code?
As an open-source project, rand_chacha's source code is publicly available for review, study, and modification according to its open-source license terms.
What programming language does rand_chacha support?
rand_chacha is designed specifically for the Rust programming language. It integrates with Rust's random number generation ecosystem.
Where can I find documentation for rand_chacha?
Documentation is available on the project's official website. Developers can consult these resources when implementing the library in their projects.
Can I use rand_chacha in commercial projects?
Yes, as open-source software, rand_chacha can be used in commercial applications. There are no licensing fees, though users should review the project's license terms for any specific requirements.
rand_chacha alternatives
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The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for rand_chacha, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Dependent projects | 82 | 0.08 | 6.6 | ✓ |
| Release cadence | 95 | 0.07 | 6.4 | ✓ |
| Security score | 60 | 0.05 | 3.2 | ✓ |
| Development activity | 19 | 0.12 | 2.3 | ✓ |
| Stars | 63 | 0.03 | 2.1 | ✓ |
| Capabilities | 0 | 0.08 | 0.0 | - |
| Integrations | 0 | 0.05 | 0.0 | - |
| Security posture | 0 | 0.09 | 0.0 | - |
| Package downloads | 0 | 0.17 | 0.0 | - |
| Developer Q&A activity | 0 | 0.08 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 3 | mediumsource · 2026-09-10 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | highsource · 2026-07-30 · 96% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Rust | highsource · 2026-09-10 · 90% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-14 · 75% |
Pricing
Release
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-05 · 60% |
Security
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