Last updated:
Cadeias de avaliação e entrega (dados, treinamento, avaliação, release).
Public ranking policy: rows are sorted by composite score (desc). Composite score is a weighted sum of normalized sub-metrics; ties are broken by higher recent activity.
| Posição | Toolchain / suite | Mantenedor | Cobertura | Pontuação | Notas |
|---|---|---|---|---|---|
| 1 | Made-With-ML | GokuMohandas | GitHub · Jupyter Notebook · ⭐47,226 | 99.8 | Learn how to develop, deploy and iterate on production-grade ML applications. |
| 2 | airflow | apache | GitHub · Python · ⭐44,993 | 98 | Apache Airflow - A platform to programmatically author, schedule, and monitor workflows |
| 3 | qdrant | qdrant | GitHub · Rust · ⭐30,220 | 86.2 | Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdran |
| 4 | label-studio | HumanSignal | GitHub · TypeScript · ⭐26,978 | 83.6 | Label Studio is a multi-type data labeling and annotation tool with standardized output format |
| 5 | mlflow | mlflow | GitHub · Python · ⭐25,266 | 82.2 | The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production- |
| 6 | serve | jina-ai | GitHub · Python · ⭐21,867 | 79.5 | ☁️ Build multimodal AI applications with cloud-native stack |
| 7 | awesome-production-machine-learning | EthicalML | GitHub · — · ⭐20,357 | 78.3 | A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning |
| 8 | taipy | Avaiga | GitHub · Python · ⭐19,160 | 77.3 | Turns Data and AI algorithms into production-ready web applications in no time. |
| 9 | agents-towards-production | NirDiamant | GitHub · Jupyter Notebook · ⭐18,709 | 77 | This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven pat |
| 10 | ml-engineering | stas00 | GitHub · Python · ⭐17,656 | 76.1 | Machine Learning Engineering Open Book |
| 11 | agent-lightning | microsoft | GitHub · Python · ⭐16,678 | 75.3 | The absolute trainer to light up AI agents. |
| 12 | argo-workflows | argoproj | GitHub · Go · ⭐16,599 | 75.3 | Workflow Engine for Kubernetes |
| 13 | weaviate | weaviate | GitHub · Go · ⭐15,982 | 74.8 | Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with th |
| 14 | dagster | dagster-io | GitHub · Python · ⭐15,276 | 74.2 | An orchestration platform for the development, production, and observation of data assets. |
| 15 | mlops-zoomcamp | DataTalksClub | GitHub · Jupyter Notebook · ⭐14,422 | 73.5 | Free MLOps course from DataTalks.Club |
| 16 | nni | microsoft | GitHub · Python · ⭐14,344 | 73.5 | An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-pa |
| 17 | awesome-mlops | visenger | GitHub · — · ⭐13,847 | 73.1 | A curated list of references for MLOps |
| 18 | OpenLLM | bentoml | GitHub · Python · ⭐12,273 | 71.8 | Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud. |
| 19 | great_expectations | great-expectations | GitHub · Python · ⭐11,386 | 71.1 | Always know what to expect from your data. |
| 20 | tensorzero | tensorzero | GitHub · Rust · ⭐11,196 | 71 | TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation. |