# charset-normalizer vs rand_core

**Leader by Vioscale score:** charset-normalizer

| Attribute | charset-normalizer | rand_core |
|---|---|---|
| **Vioscale score** | 79.3 (42% (low)) | 43.5 (17% (low)) |
| activity.commits_last_30d | 62 | 2 |
| adoption.dependent_repos | 127,252 | 73,473 |
| adoption.github_stars | 789 | 13 |
| adoption.package_downloads_weekly | 387,767,386 | - |
| content.faq | `[{"answer":"charset-normalizer is a library that detects the character encoding used in text data. It functions as a universal charset detector, automatically identifying which text encoding is present in files or text streams.","source":"https://charset-normalizer.readthedocs.io/","question":"What is charset-normalizer?","confidence":0.95},{"answer":"charset-normalizer addresses the problem of automatically detecting character encoding in text data. Applications that process text from diverse sources often encounter different encodings, and identifying the correct encoding is essential for proper text interpretation.","source":"https://charset-normalizer.readthedocs.io/","question":"What problems does charset-normalizer solve?","confidence":0.8},{"answer":"Yes, charset-normalizer is open source software, allowing for public use, examination, and modification of its code. As an open source project, it is freely available for distribution and integration into other applications.","source":"https://charset-normalizer.readthedocs.io/","question":"Is charset-normalizer open source?","confidence":0.98},{"answer":"Yes, the project is actively maintained, meaning it continues to receive updates and ongoing development. This indicates an ongoing commitment to improving and supporting the software.","source":"https://charset-normalizer.readthedocs.io/","question":"Is the project actively maintained?","confidence":0.98},{"answer":"charset-normalizer is positioned as an alternative to Chardet with emphasis on being modern and actively maintained. Specific technical differences or detailed feature comparisons are not provided in the available information.","source":"https://charset-normalizer.readthedocs.io/","question":"How does charset-normalizer compare to Chardet?","confidence":0.85},{"answer":"The project provides documentation through ReadTheDocs at its official website. ReadTheDocs is a standard hosting platform for comprehensive documentation for open source projects.","source":"https://charset-normalizer.readthedocs.io/","question":"Where can I find documentation for charset-normalizer?","confidence":0.9},{"answer":"As an open source project, charset-normalizer is available at no cost. There are no licensing fees or usage costs for integrating it into applications.","source":"https://charset-normalizer.readthedocs.io/","question":"What is the cost of using charset-normalizer?","confidence":0.98}]` | `[{"answer":"rand_core is a Rust library that provides core traits and tools for implementing random number generation functionality. It serves as a foundation for developers who are building their own randomness solutions and libraries within the Rust ecosystem.","source":"https://rust-random.github.io/book","question":"What is rand_core?","confidence":0.95},{"answer":"rand_core is open-source software available at no cost. There are no subscription fees, licensing charges, or usage restrictions for using the library.","source":"https://rust-random.github.io/book","question":"What is the cost and licensing model?","confidence":1},{"answer":"rand_core is designed for Rust developers who need to implement random number generation capabilities in their projects or libraries. It provides the essential traits and foundational tools required to build such implementations.","source":"https://rust-random.github.io/book","question":"Who should use rand_core?","confidence":0.9},{"answer":"The project includes a quick start guide, an overview of available features, and contributor documentation. These resources support both users getting started with the library and developers interested in contributing.","source":"https://rust-random.github.io/book","question":"What documentation is provided?","confidence":0.95},{"answer":"Yes, rand_core welcomes community contributions. The project provides dedicated contributor documentation to guide developers interested in participating in its development.","source":"https://rust-random.github.io/book","question":"Can developers contribute to the project?","confidence":0.9},{"answer":"rand_core is built specifically for the Rust programming language. It integrates with Rust's type system and ecosystem to provide traits and tools for random number generation implementations.","source":"https://rust-random.github.io/book","question":"What programming language does rand_core target?","confidence":0.85}]` |
| deployment.options | `{"cloud":true,"self_hosted":true}` | - |
| description.long | A Python library that identifies character encoding in byte sequences and converts content to Unicode. It determines the most readable interpretation of text regardless of its original encoding, and includes language detection and binary file recognition capabilities. | An open-source Rust library providing foundational traits for implementing random number generation algorithms. It supplies the core interfaces that RNG implementations build on, along with helper utilities for algorithm development. |
| language.primary | Python | Rust |
| license.spdx | MIT | Apache-2.0 |
| market.availability | - | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true}` | - |
| pricing | `{"type":"open_source","summary":"Free and open source (MIT license)","freeTier":true,"sourceUrl":"https://charset-normalizer.readthedocs.io/","retrievedAt":"2026-08-14T10:26:17.342Z"}` | `{"type":"open_source","sourceUrl":"https://rust-random.github.io/book","retrievedAt":"2026-08-14T11:10:14.361Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | open_source | open_source |
| pricing.price_level | free | free |
| pricing.transparent | yes | - |
| release.cadence_days | 65 | 71 |
| release.history | `[{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.5.1","date":"2026-08-15T06:30:03Z","type":"stable","version":"3.5.1"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.5.0","date":"2026-08-12T12:50:58Z","type":"stable","version":"3.5.0"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.4.9","date":"2026-07-07T13:03:13Z","type":"stable","version":"3.4.9"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.4.8","date":"2026-07-06T12:54:25Z","type":"stable","version":"3.4.8"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.4.7","date":"2026-04-02T07:34:22Z","type":"stable","version":"3.4.7"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.4.6","date":"2026-03-15T16:50:12Z","type":"stable","version":"3.4.6"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.4.5","date":"2026-03-06T04:17:36Z","type":"stable","version":"3.4.5"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.4.4","date":"2025-10-14T03:27:10Z","type":"stable","version":"3.4.4"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.4.3","date":"2025-08-09T06:42:44Z","type":"stable","version":"3.4.3"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.4.2","date":"2025-05-02T06:21:48Z","type":"stable","version":"3.4.2"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.4.1","date":"2024-12-24T16:14:04Z","type":"stable","version":"3.4.1"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.4.0","date":"2024-10-09T06:14:41Z","type":"stable","version":"3.4.0"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.3.2","date":"2023-10-31T20:22:26Z","type":"stable","version":"3.3.2"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.3.1","date":"2023-10-22T15:07:29Z","type":"stable","version":"3.3.1"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.3.0","date":"2023-09-30T06:08:54Z","type":"stable","version":"3.3.0"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.2.0","date":"2023-07-07T18:02:27Z","type":"stable","version":"3.2.0"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.1.0","date":"2023-03-06T06:48:45Z","type":"stable","version":"3.1.0"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.0.1","date":"2022-11-18T05:45:50Z","type":"stable","version":"3.0.1"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.0.0","date":"2022-10-20T09:00:26Z","type":"stable","version":"3.0.0"},{"url":"https://github.com/jawah/charset_normalizer/releases/tag/3.0.0rc1","date":"2022-10-18T19:18:50Z","type":"prerelease","version":"3.0.0rc1"}]` | `[{"url":"https://github.com/rust-random/rand_core/releases/tag/v0.10.1","date":"2026-04-13T15:37:40Z","type":"stable","version":"v0.10.1"},{"url":"https://github.com/rust-random/rand_core/releases/tag/v0.10.0","date":"2026-02-01T09:09:36Z","type":"stable","version":"v0.10.0"}]` |
| reliability.status_page | - | yes |
| security.scorecard | 8.9 | - |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=charset-normalizer&per_page=100","last_12m":0,"max_severity":null}` | `{"count":2,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=cargo&package_name=rand_core&per_page=100","last_12m":0,"max_severity":"CRITICAL"}` |

*Source: Vioscale. Generated 2026-09-01T17:32:00.266Z. "-" = undocumented, not absent.*
