# opencode vs transformers

**Leader by Vioscale score:** transformers

| Attribute | opencode | transformers |
|---|---|---|
| **Vioscale score** | 63.8 (55% (medium)) | 69.8 (78% (high)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 31,800 |
| adoption.github_stars | - | 164,465 |
| content.faq | - | `[{"answer":"Transformers is an open-source model-definition framework for building and deploying state-of-the-art machine learning models. It provides infrastructure for working with models across text, computer vision, audio, video, and multimodal domains, making it suitable for diverse machine learning tasks.","source":"https://huggingface.co/transformers","question":"What is Transformers and what is it used for?","confidence":0.95},{"answer":"Transformers covers models for text processing, computer vision, audio processing, video understanding, and multimodal applications. This breadth allows developers to work with machine learning models across different data types and use cases in a single framework.","source":"https://huggingface.co/transformers","question":"What types of models and domains does Transformers support?","confidence":0.95},{"answer":"Transformers is open-source software with no licensing fees or usage costs. It is completely free to download, use, and deploy in any environment.","source":"https://huggingface.co/transformers","question":"What is the cost of using Transformers?","confidence":0.95},{"answer":"Transformers is available through both web-based and command-line interfaces, allowing you to choose the access method that fits your workflow. This dual-access approach accommodates different working styles and integration patterns.","source":"https://huggingface.co/transformers","question":"How do I access and use Transformers?","confidence":0.75},{"answer":"Yes, Transformers supports command-line usage, enabling you to install and run it on your own systems and infrastructure. This gives you full control over deployment, data handling, and resource allocation.","source":"https://huggingface.co/transformers","question":"Can I run Transformers on my own infrastructure?","confidence":0.7},{"answer":"Transformers offers cloud deployment options, allowing you to run the framework in cloud environments for scalability and accessibility. This flexibility enables you to move workloads between local and cloud infrastructure as your needs change.","source":"https://huggingface.co/transformers","question":"Does Transformers support cloud deployment?","confidence":0.9}]` |
| deployment.options | `{"self_hosted":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | OpenCode is a free, open-source AI coding assistant that integrates with 75+ language models including Claude, GPT, and Gemini. It operates as a terminal interface, desktop application, or IDE extension, and prioritizes privacy by never storing user code or context data. | A central library for defining and using state-of-the-art machine learning models with compatibility across multiple training frameworks, inference engines, and deployment platforms. Works with PyTorch, FSDP, DeepSpeed, vLLM, and other tools for both inference and training workflows. |
| integrations.count | 8 | 24 |
| integrations.list | `[{"name":"Claude"},{"name":"GPT"},{"name":"Gemini"},{"name":"OpenAI"},{"name":"GitHub Copilot"},{"name":"ChatGPT Plus"},{"name":"ChatGPT Pro"},{"name":"Models.dev"}]` | `[{"name":"PyTorch"},{"name":"DeepSpeed"},{"name":"FSDP"},{"name":"PyTorch-Lightning"},{"name":"Axolotl"},{"name":"Unsloth"},{"name":"vLLM"},{"name":"SGLang"},{"name":"TGI"},{"name":"llama.cpp"},{"name":"mlx"},{"name":"Amazon Bedrock"},{"name":"AWS"},{"name":"Google Cloud"},{"name":"Microsoft Azure"},{"name":"Diffusers"},{"name":"Datasets"},{"name":"Gradio"},{"name":"Accelerate"},{"name":"PEFT"},{"name":"TRL"},{"name":"Optimum"},{"name":"Safetensors"},{"name":"Bitsandbytes"}]` |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"mac":true,"linux":true,"windows":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","plans":[{"free":true,"name":"OpenCode","description":"Completely free and open source","contactSales":false}],"summary":"Free and open source","freeTier":true,"sourceUrl":"https://opencode.ai","retrievedAt":"2026-07-30T22:18:47.087Z"}` | `{"type":"open_source","summary":"Free, open-source under Apache 2.0 license","freeTier":true,"sourceUrl":"https://huggingface.co/pricing","retrievedAt":"2026-08-14T11:07:44.649Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | free | commercial |
| pricing.price_level | free | free |
| pricing.transparent | yes | yes |
| release.cadence_days | - | 5 |
| release.history | - | `[{"url":"https://github.com/huggingface/transformers/releases/tag/v5.16.1","date":"2026-08-26T14:50:01Z","type":"stable","version":"v5.16.1"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.16.0","date":"2026-08-26T12:35:15Z","type":"stable","version":"v5.16.0"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.15.1","date":"2026-08-19T10:50:47Z","type":"stable","version":"v5.15.1"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.15.0","date":"2026-08-10T10:28:13Z","type":"stable","version":"v5.15.0"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.14.1","date":"2026-07-16T09:41:36Z","type":"stable","version":"v5.14.1"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.14.0","date":"2026-07-15T19:02:19Z","type":"stable","version":"v5.14.0"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.13.1","date":"2026-07-11T09:15:36Z","type":"stable","version":"v5.13.1"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.13.0","date":"2026-07-03T16:06:27Z","type":"stable","version":"v5.13.0"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.12.1","date":"2026-06-15T17:29:59Z","type":"stable","version":"v5.12.1"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.10.3","date":"2026-06-15T17:29:39Z","type":"stable","version":"v5.10.3"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.12.0","date":"2026-06-12T14:39:40Z","type":"stable","version":"v5.12.0"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.11.0","date":"2026-06-10T16:32:44Z","type":"stable","version":"v5.11.0"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.10.2","date":"2026-06-04T18:43:06Z","type":"stable","version":"v5.10.2"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.10.1","date":"2026-06-03T15:37:41Z","type":"stable","version":"v5.10.1"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.9.0","date":"2026-05-20T14:12:54Z","type":"stable","version":"v5.9.0"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.8.1","date":"2026-05-13T03:21:23Z","type":"stable","version":"v5.8.1"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.8.0","date":"2026-05-05T16:52:21Z","type":"stable","version":"v5.8.0"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.7.0","date":"2026-04-28T18:32:50Z","type":"stable","version":"v5.7.0"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.6.2","date":"2026-04-23T18:36:03Z","type":"stable","version":"v5.6.2"},{"url":"https://github.com/huggingface/transformers/releases/tag/v5.6.1","date":"2026-04-23T08:20:03Z","type":"stable","version":"v5.6.1"}]` |
| reliability.status_page | - | yes |
| security.disclosure_policy | - | yes |
| security.gdpr | - | yes |
| security.scorecard | - | 6.4 |
| security.soc2 | yes | - |
| security.vulnerabilities | - | `{"count":22,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=transformers&per_page=100","last_12m":6,"max_severity":"CRITICAL"}` |

*Source: Vioscale. Generated 2026-09-01T15:07:12.037Z. "-" = undocumented, not absent.*