MLOps & Infrastructure

Open-source data integration platform with 350+ connectors.

No-code AI analytics platform for building predictive models from data.

Visual workflow platform for data analysis, ML, and predictive modeling.

No-code data preparation and predictive analytics with drag-and-drop tools.

Open-source Python/R data science platform with package management.

Scalable AI platform for fine-tuning and serving LLMs.

Open-source workflow orchestration for data pipelines.

Distributed NoSQL database for high-throughput data applications.

Distributed stream processing framework for real-time analytics.

Open-source lakehouse platform for streaming data pipelines.

Open table format for large-scale analytics on data lakes.

Distributed event streaming platform for real-time data pipelines.

Unified analytics engine for large-scale data processing and ML.

Serverless platform for deploying and scaling ML models.

Managed cloud platform for deploying AI models and applications.

Unified model serving framework for ML and LLM deployment.

Evaluation and experimentation platform for AI applications.

Reverse ETL platform for syncing data from warehouse to operational tools.

Open-source MLOps platform for experiment management and model serving.

Columnar OLAP database for high-performance analytics queries.

Serverless AI inference at the edge on Cloudflare's network.

MLOps platform for experiment tracking, monitoring, and LLM evaluation.

Evaluation framework for LLM applications with automated testing.

Managed Apache Kafka platform for enterprise event streaming.

Open-source data ingestion platform for reliable event streaming.

Managed ML project hub combining Git, DVC, and MLflow.

Data orchestration platform with asset-based architecture.

Parallel computing library for scaling Python data science workflows.

Collaborative data science platform for building and deploying ML models.

Enterprise AI platform for automated model building and MLOps.

Data transformation framework for analytics engineering workflows.

Open-source evaluation framework for LLM applications.

Open-source lakehouse storage layer with ACID transactions.

Git-style version control for datasets, models, and ML pipelines.

Real-time data integration platform for streaming and batch pipelines.

Automated feature engineering library for relational data.

Automated data pipeline platform for syncing data sources to warehouses.

Kubernetes-native workflow automation for data and ML pipelines.

Automated ML platform with feature engineering and model interpretability.

Open-source LLM observability and cost monitoring platform.

Data activation platform for reverse ETL and customer data sync.

Hugging Face AutoTrain simplifies training and fine-tuning models for language, vision, and tabular tasks.

Text Generation Inference server for production LLM serving.

High-performance programming language for scientific computing.

Open-source interactive notebook environment for data science.

Open-source data analytics platform with visual workflow designer.

Serverless platform for deploying AI models and APIs.

Kubernetes-native ML platform for pipelines and distributed training.

Git-like version control for object storage and data lakes.

Open-source LLM engineering platform with tracing and evaluation.

Platform for building, testing, and deploying AI applications.

High-performance gradient boosting framework by Microsoft.

Observability and evaluation platform for LLM and agent applications.

C/C++ port of LLaMA for efficient CPU and GPU inference.

Desktop application for discovering, downloading, and running local LLMs.

LLM observability platform with logging, tracing, and analytics.

Numerical computing platform for data analysis, ML, and engineering.

Python framework for building and managing data science workflows.

Open-source platform for ML lifecycle management.

Extension library for data science and ML in Python.

Serverless cloud platform for running Python and AI workloads.

Large-scale experiment tracking for ML model development.

AI-powered storage-level ransomware protection detecting threats in real time and guaranteeing data recovery.

Run LLMs locally with a simple CLI and API.

Open-source observability for LLM applications via OpenTelemetry.

Hyperparameter optimization framework for ML model tuning.

Reproducible, version-controlled data pipelines with immutable lineage.

Python data analysis library for data manipulation and analysis.

LLM testing and evaluation platform with prompt management.

Open-source LLM observability and evaluation by Arize AI.

High-performance DataFrame library for data processing in Python.

AI gateway for routing, caching, and fallback across LLM providers.

Modern workflow orchestration platform for data and ML pipelines.

Open-source distributed SQL query engine for big data analytics.

Facebook's open-source time-series forecasting library for Python.

Open-source deep learning framework with dynamic computation graphs.

Evaluation framework for RAG pipelines and retrieval quality.

Data science platform with visual workflow design and automated ML.

Distributed computing framework for scaling ML and Python applications.

Cloud platform for running and deploying ML models via API.

Integrated development environment for R-based data science.

Cloud GPU platform for AI model training and inference.

Enterprise analytics platform with automated forecasting and ML modeling.

Python machine learning library for classification, regression, and clustering.

Customer data platform with real-time data collection and activation.

Run LLMs and ML workloads on any cloud with one command.

Cloud data platform with AI/ML capabilities and Cortex AI.

NLP library for Apache Spark with state-of-the-art models.

Managed distributed SQL query engine based on Trino.

Open-source ML framework for building and training deep learning models.

Infrastructure-as-code templates for deploying AI workloads.

Distributed SQL query engine for data lakes and warehouses.

Open-source framework for packaging and serving ML models.

LLM and NLP pipeline framework for building AI workflows.

High-throughput LLM inference engine with PagedAttention.

MLOps platform for experiment tracking and model evaluation.

Optimized gradient boosting library for structured data ML.