# Snorkel AI vs Unsloth

**Leader by Vioscale score:** Unsloth

| Attribute | Snorkel AI | Unsloth |
|---|---|---|
| **Vioscale score** | 41.5 (21% (low)) | 54.9 (40% (low)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 0 |
| adoption.github_stars | - | 74,869 |
| deployment.options | `{"cloud":true,"self_hosted":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | Snorkel provides tools for building research-grade training data, evaluation systems, and benchmarks tailored to frontier AI models and agents. It uses programmatic data labeling with audit trails, multi-reviewer pipelines, and curriculum-structured datasets to move beyond generic coverage and address domain-specific gaps that generic models struggle with. | Unsloth is a free, open-source desktop app that lets users run, customize, and train AI models on their own hardware with optimizations for speed and memory usage. It supports multiple GPU setups and offers paid Pro and Enterprise tiers with enhanced performance and deployment capabilities. |
| features.capabilities | `{"soc2_type_ii":true,"pricing_model":"enterprise_annual_license","architecture_model":"managed_cloud_saas_platform","mit_or_apache_permissive_oss_license":false,"flash_attention_and_xformers_compilation":false,"four_bit_and_eight_bit_memory_quantization":false,"native_huggingface_hub_push_pull_integration":false,"weights_and_biases_wandb_experiment_tracking":false,"peft_lora_and_qlora_parameter_efficient_tuning":false,"rlhf_and_dpo_preference_alignment_optimization":false,"serverless_hosting_of_fine_tuned_adapters_lorax":false,"synthetic_data_generation_and_evaluation_pipeline":true,"distributed_multi_gpu_orchestration_fsdp_deepspeed":false}` | `{"pricing_model":"free_open_source","architecture_model":"open_source_library_local_gpu","mit_or_apache_permissive_oss_license":true,"flash_attention_and_xformers_compilation":true,"four_bit_and_eight_bit_memory_quantization":true,"native_huggingface_hub_push_pull_integration":true,"peft_lora_and_qlora_parameter_efficient_tuning":true,"rlhf_and_dpo_preference_alignment_optimization":true,"distributed_multi_gpu_orchestration_fsdp_deepspeed":true}` |
| integrations.count | 10 | 18 |
| integrations.list | `[{"name":"Databricks"},{"name":"Snowflake"},{"name":"Google BigQuery"},{"name":"Amazon S3"},{"name":"Google Cloud Storage"},{"name":"Azure Blob Storage"},{"name":"Azure Active Directory"},{"name":"AWS Secrets Manager"},{"name":"SAML"},{"name":"OIDC"}]` | `[{"name":"Claude Code"},{"name":"Codex"},{"name":"OpenAI API"},{"name":"Hugging Face"},{"name":"Google"},{"name":"Model Context Protocol"},{"name":"Cloudflare"},{"name":"FLUX"},{"name":"MiniMax-H3"},{"name":"Stable Diffusion"},{"name":"Qwen3.8"},{"name":"DeepSeek-V4"},{"name":"Gemma 2"},{"name":"Gemma 4"},{"name":"Mistral"},{"name":"Llama 1"},{"name":"Llama 2"},{"name":"Llama 3"}]` |
| language.primary | - | Python |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"web":true}` | `{"mac":true,"web":true,"linux":true,"windows":true}` |
| pricing | - | `{"type":"hybrid","plans":[{"free":true,"name":"Free","summary":"Free, open-source","features":["Supports Mistral, Gemma, Llama 1/2/3 models","4-bit and 16-bit LoRA fine-tuning","Single GPU support","2x speed improvement","60% VRAM reduction","Fully local and offline operation"],"components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"}],"description":"Open-source version with core model training capabilities","contactSales":false},{"free":false,"name":"Pro","summary":"Contact sales for pricing","features":["2.5x faster training","20% less VRAM usage","Multi-GPU support up to 8 GPUs","80% VRAM reduction","Support for any use case"],"description":"Enhanced performance with multi-GPU support","contactSales":true},{"free":false,"name":"Enterprise","summary":"Contact sales for pricing","features":["30x faster training","Up to 30% accuracy improvement","5x faster inference","Multi-node support","90% VRAM reduction","Full training support","Customer support included"],"description":"Maximum performance with multi-node deployment and accuracy improvements","contactSales":true}],"summary":"Free open-source tier; Pro and Enterprise plans available","freeTier":true,"sourceUrl":"https://unsloth.ai/pricing","retrievedAt":"2026-08-21T11:04:21.735Z"}` |
| pricing.free_tier | - | yes |
| pricing.model | commercial | freemium |
| pricing.price_level | - | low |
| pricing.transparent | - | no |
| release.cadence_days | - | 4 |
| release.history | - | `[{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.803-beta","date":"2026-08-25T13:12:45Z","type":"stable","version":"v0.1.803-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.802-beta","date":"2026-08-25T11:27:29Z","type":"stable","version":"v0.1.802-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.801-beta","date":"2026-08-20T16:58:37Z","type":"stable","version":"v0.1.801-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.800-beta","date":"2026-08-14T14:18:49Z","type":"stable","version":"v0.1.800-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.702-beta","date":"2026-08-13T15:21:18Z","type":"stable","version":"v0.1.702-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.701-beta","date":"2026-08-11T19:24:35Z","type":"stable","version":"v0.1.701-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.70-beta","date":"2026-08-11T15:31:25Z","type":"stable","version":"v0.1.70-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.62-beta","date":"2026-08-11T13:25:36Z","type":"stable","version":"v0.1.62-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.61-beta","date":"2026-08-10T13:57:15Z","type":"stable","version":"v0.1.61-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.60-beta","date":"2026-08-10T11:59:46Z","type":"stable","version":"v0.1.60-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.527-beta","date":"2026-08-09T17:14:42Z","type":"stable","version":"v0.1.527-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.526-beta","date":"2026-08-04T16:06:43Z","type":"stable","version":"v0.1.526-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.512-beta","date":"2026-07-29T15:35:36Z","type":"stable","version":"v0.1.512-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.501-beta","date":"2026-07-20T14:06:46Z","type":"stable","version":"v0.1.501-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.49-beta","date":"2026-07-15T18:27:06Z","type":"stable","version":"v0.1.49-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.481-beta","date":"2026-07-07T14:43:29Z","type":"stable","version":"v0.1.481-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.471-beta","date":"2026-06-18T17:36:51Z","type":"stable","version":"v0.1.471-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.464-beta","date":"2026-06-12T13:57:31Z","type":"stable","version":"v0.1.464-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.451-beta","date":"2026-06-10T18:20:29Z","type":"stable","version":"v0.1.451-beta"},{"url":"https://github.com/unslothai/unsloth/releases/tag/v0.1.44-beta","date":"2026-06-03T14:35:44Z","type":"stable","version":"v0.1.44-beta"}]` |
| security.gdpr | yes | - |
| security.scorecard | - | 4.9 |
| security.soc2 | yes | - |
| security.vulnerabilities | - | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=roland-sloth&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (Fine Tuning Platforms)

| Capability | Snorkel AI | Unsloth |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Architecture model | Managed cloud saas platform | Open source library local GPU |
| Peft lora and qlora parameter efficient tuning | ✗ | ✓ |
| Rlhf and dpo preference alignment optimization | ✗ | ✓ |
| Serverless hosting of fine tuned adapters lorax | ✗ | - |
| Four bit and eight bit memory quantization | ✗ | ✓ |
| Flash attention and xformers compilation | ✗ | ✓ |
| Distributed multi GPU orchestration fsdp deepspeed | ✗ | ✓ |
| Synthetic data generation and evaluation pipeline | ✓ | - |
| Native huggingface hub push pull integration | ✗ | ✓ |
| Weights and biases wandb experiment tracking | ✗ | - |
| SOC2 type ii | ✓ | - |
| Mit or apache permissive oss license | ✗ | ✓ |
| Pricing model | Enterprise annual license | Free open source |

*Source: Vioscale. Generated 2026-09-01T16:34:01.704Z. "-" = undocumented, not absent.*