Payment infrastructure for the internet. APIs for payments, subscriptions, billing, and financial services.

Open-source Firebase alternative built around managed Postgres, Auth, Storage, Realtime, Edge Functions, and vector support.

Developer-friendly deployment platform for apps, databases, workers, and cron jobs.

Drop-in authentication and user management. Beautiful pre-built components for React/Next.js.

Application monitoring and error tracking. See every crash, fix every bug, optimize performance.

The world's largest code hosting platform. Git repos, CI/CD, project management, Copilot AI.

Microsoft's gradient boosting framework. Faster training and lower memory usage than XGBoost on many workloads.

Frontend and full-stack cloud optimized for Next.js, serverless functions, edge runtime, and preview deployments.

Linear is a product development system designed for teams and AI agents, purpose-built for planning and building products efficiently.

Neon Serverless Postgres is a serverless database platform designed to help you build reliable and scalable applications faster, using a familiar Postgres interface.

Cross-platform task automation shell + scripting language from Microsoft. Object pipeline (not text), cmdlets, remoting, process control. Windows/macOS/Linux.

Managed MySQL/Vitess and Postgres database platform with branching and scale-focused workflows.

The best way to reach humans instead of spam folders. Deliver transactional and marketing emails at scale.

Open source ML lifecycle management. Experiment tracking, model registry, deployment, and evaluation.

Yandex's gradient boosting library. Handles categorical features natively without preprocessing.

Google's high-performance numerical computing library. Composable transformations of NumPy programs with autograd, JIT, vmap, pmap.

Workflow orchestration platform. Schedule and monitor data pipelines and ML workflows with Python DAGs.

ML workflow orchestration on Kubernetes. Define, deploy, and manage multi-step ML pipelines with KFP SDK.

Data orchestrator for ML and analytics. Software-defined assets, type-checking, built-in observability.

Netflix's ML infrastructure framework. Manages data, compute, and versioning for data science projects.

Experiment tracking and model management platform. Hyperparameter sweeps, artifact versioning, collaborative dashboards.

Workflow orchestration for data pipelines. Python-native, dynamic workflows with automatic retries and scheduling.

Open source feature store for ML. Serve features for training and inference with offline/online stores.

Stream processing framework for stateful computations over data streams. Supports event-time processing and exactly-once semantics.

State-of-the-art NLP models. Pre-trained transformers for text, image, audio with fine-tuning and inference APIs.

NVIDIA's inference serving software. Supports TensorRT, TensorFlow, PyTorch, ONNX with dynamic batching and model ensembles.

GPU cloud for deep learning. On-demand A100 and H100 instances at competitive prices.

Parallel computing library for Python. Scales pandas, NumPy, and scikit-learn workflows to multi-core machines and clusters.

SQL-based data transformation tool. Transform raw data in your warehouse with version-controlled, tested SQL models.

Open source embedding database. Simple API for storing and querying embeddings. Popular for RAG prototyping.

Run LLMs locally. Manages model downloads, quantization, and serving with a simple CLI and REST API.

Microsoft's cross-platform inference engine. Optimizes and runs ML models in ONNX format on CPU, GPU, and edge devices.

Unified batch and streaming data processing model. Runs on Spark, Flink, Dataflow, and other runners.

Product analytics for B2B SaaS. Auto-generated reports, company-level insights, Segment integration.

Framework for scaling Python applications. Provides distributed compute for ML training, serving, and data processing.

Machine learning library for Python. Classification, regression, clustering, dimensionality reduction.

Unified analytics engine for large-scale data processing. Supports SQL, streaming, ML, and graph processing across clusters.

A fully customizable scheduling software for individuals, businesses taking calls and developers building scheduling platforms where users meet users.

Gradient boosting library optimized for speed and performance. Supports distributed training, GPU acceleration, and integration with Spark/Dask.

All-in-one CRM platform with marketing, sales, and service hubs. Free tier available.