# MLflow vs ReOpenly

**Leader by vioscaleAI score:** MLflow

| Attribute | MLflow | ReOpenly |
|---|---|---|
| **vioscaleAI score** | 70.7 (68% (medium)) | 65.5 (40% (low)) |
| activity.commits_last_30d | 100 | - |
| adoption.dependent_repos | 5,089 | - |
| adoption.github_stars | 27,843 | - |
| adoption.package_downloads_weekly | 9,993,245 | - |
| content.faq | `[{"answer":"A comprehensive, open-source platform that provides experiment tracking, model registry, LLM tracing, prompt management, and deployment capabilities across the complete machine learning and AI lifecycle It is indexed under MLOps & LLMOps Tools.","source":"https://mlflow.org","question":"What is MLflow?","confidence":0.6},{"answer":"MLflow is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://mlflow.org","question":"Is MLflow free to use?","confidence":0.6},{"answer":"MLflow supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://mlflow.org","question":"What platforms does MLflow support?","confidence":0.6},{"answer":"Yes. MLflow can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://mlflow.org","question":"Can MLflow be self-hosted?","confidence":0.6},{"answer":"We have confirmed 24 integrations for MLflow, including Databricks, AWS S3, Google Cloud Storage, Azure Storage, AzureML, Kubernetes, LangChain and Pydantic AI, plus 16 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://mlflow.org","question":"What does MLflow integrate with?","confidence":0.6},{"answer":"Yes. MLflow is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/mlflow/mlflow","question":"Is MLflow open source?","confidence":0.95}]` | `[{"answer":"ReOpenly is an end-to-end platform that handles the infrastructure and training pipeline for fine-tuning open-source models on your dataset, then serving them via hosted API or downloading the weights for self-deployment. Smaller models tuned to specific tasks achieve comparable accuracy to large generalist models at significantly lower cost. It is indexed under MLOps & LLMOps Tools.","source":"https://reopenly.com/pt/pricing/","question":"What is ReOpenly?","confidence":0.6},{"answer":"ReOpenly offers a free tier, so you can start without paying. Paid plans start at $0.03 per GPU per minute. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://reopenly.com/pt/pricing/","question":"Is ReOpenly free?","confidence":0.6},{"answer":"We have confirmed browser-based access to ReOpenly. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://reopenly.com/pt/pricing/","question":"What platforms does ReOpenly support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for ReOpenly, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://reopenly.com/pt/pricing/","question":"Can ReOpenly be self-hosted?","confidence":0.6},{"answer":"We have confirmed 3 integrations for ReOpenly, including LangChain, n8n and OpenAI. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://reopenly.com/pt/pricing/","question":"What does ReOpenly integrate with?","confidence":0.6},{"answer":"ReOpenly is available worldwide. Its primary market is Brazil. The vendor is headquartered in Brazil.","source":"https://reopenly.com/pt/pricing/","question":"Where is ReOpenly available?","confidence":0.75}]` |
| deployment.options | `{"cloud":true,"self_hosted":true}` | `{"cloud":true}` |
| description.long | A comprehensive, open-source platform that provides experiment tracking, model registry, LLM tracing, prompt management, and deployment capabilities across the complete machine learning and AI lifecycle | ReOpenly is an end-to-end platform that handles the infrastructure and training pipeline for fine-tuning open-source models on your dataset, then serving them via hosted API or downloading the weights for self-deployment. Smaller models tuned to specific tasks achieve comparable accuracy to large generalist models at significantly lower cost. |
| features.capabilities | `{"role":"platform","evaluation":true,"open_source":true,"managed_cloud":true,"model_serving":true,"pricing_model":"free_open_source","rate_limiting":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"deployment_model":"self-hosted","llm_observability":true,"prompt_management":true,"streaming_support":true,"architecture_model":"open_source_proxy","framework_agnostic":true,"experiment_tracking":true,"budget_spend_controls":true,"guardrails_moderation":"built-in","openai_compatible_api":true,"request_cost_observability":true,"mit_or_apache_permissive_oss_license":true,"organization_wide_cost_tracking_and_chargebacks":true}` | `{"role":"platform","evaluation":true,"managed_cloud":true,"model_serving":true,"self_hostable":true,"vpc_deployment":true,"no_train_on_data":"unknown","framework_agnostic":true}` |
| integrations.count | 11 | 3 |
| integrations.list | `[{"name":"Databricks"},{"name":"AWS S3"},{"name":"Google Cloud Storage"},{"name":"Azure Storage"},{"name":"AzureML"},{"name":"Kubernetes"},{"name":"LangChain"},{"name":"Pydantic AI"},{"name":"Anthropic Claude"},{"name":"OpenAI"},{"name":"Google Gemini"},{"name":"SAP AI Core"},{"name":"JFrog"},{"name":"Aliyun"},{"name":"PostgreSQL"},{"name":"MySQL"},{"name":"MSSQL"},{"name":"Claude Code"},{"name":"OpenAI Codex"},{"name":"Gemini"},{"name":"Anthropic"},{"name":"Ollama"},{"name":"OpenClaw"},{"name":"Qwen Code"},{"name":"LiteLLM"},{"name":"Amazon S3"},{"name":"OpenTelemetry/OTLP"},{"name":"OpenAI-compatible endpoints"}]` | `[{"name":"LangChain","category":"framework"},{"name":"n8n","category":"automation"},{"name":"OpenAI","category":"llm"}]` |
| language.primary | Python | - |
| license.spdx | Apache-2.0 | - |
| market.availability | - | `{"hqCountry":"BR","primaryMarkets":["BR"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"web":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://mlflow.org","retrievedAt":"2026-08-14T21:35:48.733Z"}` | `{"type":"usage","plans":[{"free":false,"name":"Pay-as-you-go","summary":"$0.03/GPU minute (training and inference)","features":["Fine-tune small open models","Hosted inference","OpenAI-compatible API","Auto-save dataset curation","Real-time training loss visualization"],"components":[{"kind":"metered","unit":"GPU","amount":0.03,"period":"minute","currency":"USD"}],"contactSales":false}],"summary":"Usage-based: $0.03 per GPU minute. New accounts receive welcome credits.","currency":"USD","freeTier":true,"sourceUrl":"https://reopenly.com/pt/pricing/","retrievedAt":"2026-09-08T13:40:11.997Z","startingPrice":{"unit":"GPU","amount":0.03,"period":"minute","currency":"USD"}}` |
| pricing.free_tier | yes | yes |
| pricing.model | open_source | freemium |
| pricing.price_level | free | low |
| pricing.starting_price | - | `{"amount":0.03,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 10 | - |
| release.history | `[{"url":"https://github.com/mlflow/mlflow/releases/tag/model-catalog/latest","date":"2026-04-06T05:49:14Z","type":"stable","version":"model-catalog/latest"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.16.0","date":"2026-09-04T08:30:54Z","type":"stable","version":"v3.16.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.15.2","date":"2026-08-26T08:34:31Z","type":"stable","version":"v3.15.2"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.15.1","date":"2026-08-03T11:09:58Z","type":"stable","version":"v3.15.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.15.0","date":"2026-07-31T08:59:13Z","type":"stable","version":"v3.15.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.14.0","date":"2026-06-17T08:50:33Z","type":"stable","version":"v3.14.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.13.0","date":"2026-06-01T23:24:24Z","type":"stable","version":"v3.13.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.13.0rc0","date":"2026-05-22T07:41:13Z","type":"prerelease","version":"v3.13.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/ts/v0.2.0","date":"2026-05-15T04:09:03Z","type":"stable","version":"ts/v0.2.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.12.0","date":"2026-05-05T23:48:58Z","type":"stable","version":"v3.12.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.12.0rc0","date":"2026-04-28T23:25:56Z","type":"prerelease","version":"v3.12.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/ts/v0.2.0-rc.1","date":"2026-04-13T09:42:04Z","type":"prerelease","version":"ts/v0.2.0-rc.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.11.1","date":"2026-04-08T05:29:25Z","type":"stable","version":"v3.11.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.11.0rc1","date":"2026-04-01T09:14:13Z","type":"prerelease","version":"v3.11.0rc1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.11.0rc0","date":"2026-03-16T14:02:42Z","type":"prerelease","version":"v3.11.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.10.1","date":"2026-03-05T14:47:14Z","type":"stable","version":"v3.10.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.10.0","date":"2026-02-20T16:05:05Z","type":"stable","version":"v3.10.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.10.0rc0","date":"2026-02-12T05:01:00Z","type":"prerelease","version":"v3.10.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.9.0","date":"2026-01-29T08:49:56Z","type":"stable","version":"v3.9.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.9.0rc0","date":"2026-01-16T04:48:57Z","type":"prerelease","version":"v3.9.0rc0"}]` | - |
| security.scorecard | 5.5 | - |
| security.trust_center | https://mlflow.org/articles/tags/ai-compliance-policies/ | https://reopenly.com/pt/privacy/ |
| security.vulnerabilities | `{"count":82,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=mlflow&per_page=100","last_12m":29,"max_severity":"CRITICAL"}` | - |

## Capabilities (MLOps & LLMOps Tools)

| Capability | MLflow | ReOpenly |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | End-to-end ML platform | End-to-end ML platform |
| **Deployment** |  |  |
| Self-hostable / OSS core | ✓ | ✓ |
| Managed cloud available | ✓ | ✓ |
| On-prem / VPC deployment | ✓ | ✓ |
| **Observability** |  |  |
| LLM tracing / observability | ✓ | - |
| Evaluation (offline / LLM-judge / human) | ✓ | ✓ |
| **Dev** |  |  |
| Prompt management + versioning | ✓ | - |
| **Tracking** |  |  |
| Experiment tracking / model registry | ✓ | - |
| **Serving** |  |  |
| Model serving / inference endpoint | ✓ | ✓ |
| **Interop** |  |  |
| OpenTelemetry / OpenLLMetry compatible | ✓ | - |
| Framework-agnostic | ✓ | ✓ |
| **Gateway** |  |  |
| Multi-provider model support | ✓ | - |
| **Data** |  |  |
| No-train-on-customer-data guarantee | - | Unknown |

*Source: vioscaleAI. Generated 2026-09-11T23:37:47.103Z. "-" = undocumented, not absent.*