# pyyaml - **Canonical URI:** https://www.vioscale.ai/software/pyyaml - **Category:** Developer Tools - **Vendor:** Pyyaml - **Homepage:** https://pyyaml.org/ - **Also known as:** pyyaml - **Profile claimed by vendor:** no - **Last updated:** 2026-08-05T12:47:13.270Z ## Vioscale score **49.6 / 100**, confidence 42% (low). Composite of weighted, independently-sourced signals (no user reviews, no vendor payment). | Signal | Score | Weight | Contribution | Evidence present | |---|--:|--:|--:|:--:| | github_stars | 65.4 | 0.05 | 3.3 | ✓ | | github_activity | 0 | 0.18 | 0 | ✓ | | release_cadence | 0 | 0.12 | 0 | ✓ | | security_posture | 0 | 0.14 | 0 | - | | package_downloads | 100 | 0.28 | 28 | ✓ | | stackoverflow_activity | 0 | 0.14 | 0 | - | ## Pricing _As of 2026-08-05, [verify at source](https://pyyaml.org/). Independently observed._ Open source · Free tier ## About PyYAML is a YAML parser and framework for Python. LibYAML is a C-based YAML parser and emitter component. _Independently observed._ ## FAQ ### What is PyYAML? PyYAML is a Python library for working with YAML format. It provides parsing capabilities to read YAML data and emission capabilities to generate YAML output from Python applications. _Source: [https://pyyaml.org/](https://pyyaml.org/)._ ### Which programming language does PyYAML support? PyYAML is designed specifically for the Python programming language, allowing Python developers to parse and generate YAML within their projects. _Source: [https://pyyaml.org/](https://pyyaml.org/)._ ### Can PyYAML read YAML files or data? Yes, PyYAML's parser component can read and interpret YAML-formatted input, converting it into Python data structures for use in applications. _Source: [https://pyyaml.org/](https://pyyaml.org/)._ ### Can PyYAML create or output YAML? Yes, PyYAML's emitter component can generate YAML-formatted output from Python data, allowing you to write YAML files or transmit YAML data. _Source: [https://pyyaml.org/](https://pyyaml.org/)._ ### What platforms can run PyYAML? As a Python library, PyYAML is available on any platform where Python is installed, including Linux, Windows, and macOS. _Source: [https://pyyaml.org/](https://pyyaml.org/)._ ### Who would use PyYAML? Python developers who need to read or write YAML data in their applications would use PyYAML, including those working with YAML-based configuration or data formats. _Source: [https://pyyaml.org/](https://pyyaml.org/)._ ## Facts Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule. ### activity | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | activity.commits_last_30d | 0 | [link](https://github.com/yaml/pyyaml/pulse) | 2026-07-31 | 65% (medium) | ### adoption | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | adoption.github_stars | 2,924 | [link](https://github.com/yaml/pyyaml) | 2026-07-31 | 90% (high) | | adoption.package_downloads_weekly | 283,664,782 | [link](https://pypistats.org/packages/pyyaml) | 2026-07-31 | 85% (high) | ### language | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | language.primary | Python | [link](https://github.com/yaml/pyyaml) | 2026-07-31 | 98% (high) | ### license | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | license.spdx | MIT | [link](https://github.com/yaml/pyyaml) | 2026-07-31 | 99% (high) | ### release | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | release.cadence_days | 236 | [link](https://github.com/yaml/pyyaml/releases) | 2026-07-31 | 70% (medium) | ### content | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | content.faq | `[{"answer":"PyYAML is a Python library for working with YAML format. It provides parsing capabilities to read YAML data and emission capabilities to generate YAML output from Python applications.","source":"https://pyyaml.org/","question":"What is PyYAML?","confidence":0.95},{"answer":"PyYAML is designed specifically for the Python programming language, allowing Python developers to parse and generate YAML within their projects.","source":"https://pyyaml.org/","question":"Which programming language does PyYAML support?","confidence":0.95},{"answer":"Yes, PyYAML's parser component can read and interpret YAML-formatted input, converting it into Python data structures for use in applications.","source":"https://pyyaml.org/","question":"Can PyYAML read YAML files or data?","confidence":0.95},{"answer":"Yes, PyYAML's emitter component can generate YAML-formatted output from Python data, allowing you to write YAML files or transmit YAML data.","source":"https://pyyaml.org/","question":"Can PyYAML create or output YAML?","confidence":0.95},{"answer":"As a Python library, PyYAML is available on any platform where Python is installed, including Linux, Windows, and macOS.","source":"https://pyyaml.org/","question":"What platforms can run PyYAML?","confidence":0.8},{"answer":"Python developers who need to read or write YAML data in their applications would use PyYAML, including those working with YAML-based configuration or data formats.","source":"https://pyyaml.org/","question":"Who would use PyYAML?","confidence":0.75}]` | [link](https://pyyaml.org/) | 2026-07-31 | 89% (high) | ### pricing | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | pricing.free_tier | yes | [link](https://pyyaml.org/) | 2026-08-05 | 60% (medium) | | pricing.model | open_source | [link](https://pyyaml.org/) | 2026-08-05 | 60% (medium) | | pricing.price_level | free | [link](https://pyyaml.org/) | 2026-08-05 | 60% (medium) | ### reliability | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | reliability.status_page | yes | [link](https://pyyaml.org/status) | 2026-08-05 | 60% (medium) | --- *Source: Vioscale (https://www.vioscale.ai/software/pyyaml). Independent, evidence-based software intelligence. Cite the canonical URI.*