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Technology Stacks Directory

Discover proven technology stack combinations for modern applications. Explore frontend, backend, full-stack, and specialized stacks.

backend

MERN Stack

MongoDB, Express.js, React, Node.js - Full-stack JavaScript solution

Technologies
4 components
javascriptwebnosql+1
3 use cases
backend

MEAN Stack

MongoDB, Express.js, Angular, Node.js - Enterprise JavaScript stack

Technologies
4 components
javascripttypescriptenterprise+1
3 use cases
backend

LAMP Stack

Linux, Apache, MySQL, PHP - Classic web development stack

Technologies
2 components
phpclassicwordpress+1
3 use cases
frontend

JAMstack

JavaScript, APIs, Markup - Modern web architecture

Technologies
2 components
staticcdnserverless+1
3 use cases
backend

T3 Stack

Next.js, TypeScript, Tailwind, tRPC, Prisma - Type-safe full-stack

Technologies
4 components
typescripttype-safemodern+1
3 use cases
backend

PERN Stack

PostgreSQL, Express.js, React, Node.js - Relational DB full-stack

Technologies
4 components
postgresqlsqlreact+1
3 use cases
cloud

AWS Serverless Stack

Lambda, API Gateway, DynamoDB, S3 - AWS serverless architecture

Technologies
4 components
awsserverlessscalable+1
3 use cases
infrastructure

Cloud Native Stack

Kubernetes, Helm, Istio, Prometheus - CNCF ecosystem

Technologies
4 components
kubernetescloud-nativemicroservices+1
3 use cases
data-engineering

Modern Data Stack

Snowflake/BigQuery, dbt, Airflow, Looker - Analytics pipeline

Technologies
3 components
analyticsetlwarehouse+1
3 use cases
ai-ml

MLOps Stack

MLflow, Kubeflow, TensorFlow, Feature Store - ML lifecycle

Technologies
3 components
machine-learningmlopsmodel-serving+1
3 use cases
backend

Django HTMX Stack

Django, HTMX, Alpine.js - Modern Python web stack

Technologies
4 components
pythonhtmxhypermedia+1
3 use cases
backend

Rails Hotwire Stack

Ruby on Rails, Hotwire, Turbo - Rails 7+ modern approach

Technologies
3 components
rubyhotwireturbo+1
3 use cases
backend

Phoenix LiveView Stack

Elixir, Phoenix, LiveView - Real-time without JavaScript

Technologies
2 components
elixirrealtimewebsockets+1
3 use cases
backend

Go Microservices Stack

Go, gRPC, Kubernetes, PostgreSQL - High-performance services

Technologies
4 components
gogrpcmicroservices+1
3 use cases
frontend

Rust WASM Stack

Rust, WebAssembly, Yew - High-performance web apps

Technologies
2 components
rustwasmperformance+1
3 use cases
cloud

Edge Computing Stack

Cloudflare Workers, D1, R2, KV - Edge-first architecture

Technologies
2 components
edgecloudflarelow-latency+1
3 use cases
backend

Supabase Stack

Supabase, Next.js, Tailwind - Open source Firebase alternative

Technologies
3 components
supabasepostgresqlrealtime+1
3 use cases
backend

Spring Cloud Stack

Spring Boot, Spring Cloud, Kubernetes - Enterprise Java

Technologies
3 components
javaspringenterprise+1
3 use cases
backend

.NET Azure Stack

ASP.NET Core, Azure Services, SQL Server - Microsoft ecosystem

Technologies
2 components
dotnetazuremicrosoft+1
3 use cases
frontend

Flutter Firebase Stack

Flutter, Firebase, Cloud Functions - Cross-platform mobile

Technologies
2 components
fluttermobilecross-platform+1
3 use cases
frontend

MEVN

A JavaScript fullstack combining MongoDB, Express, Vue, and Node.js for single-page web apps with one language end to end.

Technologies
4 components
mevnvue-fullstackmongodb+2
4 use cases
backend

LEMP

A classic web stack of Linux, Nginx, MySQL, and PHP that serves dynamic sites with high concurrency and low overhead.

Technologies
3 components
lempnginxphp+2
4 use cases
frontend

Next.js + Supabase

A fullstack pairing Next.js with Supabase for Postgres, auth, storage, and realtime, shipping production apps with minimal backend code.

Technologies
5 components
nextjssupabasepostgres+2
4 use cases
frontend

Next.js + Prisma + Postgres

A typed fullstack of Next.js, the Prisma ORM, and PostgreSQL for SaaS apps with a hand-owned backend and end-to-end type safety.

Technologies
4 components
nextjsprismapostgres+2
4 use cases
frontend

Remix + Postgres

A web stack built on Remix's loader/action model over PostgreSQL, embracing web standards and progressive enhancement for fast, resilient apps.

Technologies
4 components
remixpostgresloaders-actions+2
4 use cases
frontend

SvelteKit Fullstack

A fullstack framework using SvelteKit for compiled, reactive UIs with server routes, ideal for fast, lightweight web applications.

Technologies
5 components
sveltekitsveltecompiler+2
4 use cases
frontend

Astro + Headless CMS

A content stack using Astro's island architecture with a headless CMS to ship fast, mostly-static sites with selective interactivity.

Technologies
4 components
astroheadless-cmsislands+2
4 use cases
frontend

Nuxt + Strapi

A Vue-based stack pairing the Nuxt framework with the Strapi headless CMS for content-driven sites and apps with a customizable backend.

Technologies
5 components
nuxtstrapiheadless-cms+2
4 use cases
frontend

RedwoodJS

An opinionated fullstack JavaScript framework integrating React, GraphQL, and Prisma into one convention-driven project for startups.

Technologies
5 components
redwoodjsgraphqlprisma+2
4 use cases
backend

Laravel + Vue

A PHP fullstack pairing the Laravel framework with a Vue front end, often via Inertia, for productive, full-featured web applications.

Technologies
5 components
laravelvueinertia+2
4 use cases
backend

Rails + Hotwire

A server-driven Ruby on Rails stack using Hotwire (Turbo and Stimulus) to build reactive web apps with minimal custom JavaScript.

Technologies
4 components
railshotwireturbo+2
4 use cases
backend

Django + React

A decoupled stack with a Django REST backend and a React front end, separating API and UI for flexible, scalable web applications.

Technologies
5 components
djangoreactrest-api+2
4 use cases
backend

Phoenix LiveView

An Elixir stack using Phoenix LiveView to build real-time, server-rendered interactive UIs over WebSockets with little JavaScript.

Technologies
3 components
phoenixliveviewelixir+2
4 use cases
backend

ASP.NET + Blazor

A .NET stack pairing ASP.NET Core with Blazor to build interactive web UIs in C#, sharing code across server and client.

Technologies
3 components
aspnetblazordotnet+2
4 use cases
backend

Spring Boot + Thymeleaf

A Java stack pairing Spring Boot with the Thymeleaf template engine for server-rendered web applications with robust enterprise tooling.

Technologies
4 components
spring-bootthymeleafjava+2
4 use cases
backend

FastAPI + React

A modern Python stack with a FastAPI backend and a React front end, joining high-performance async APIs to a rich interactive UI.

Technologies
5 components
fastapireactasync-python+2
4 use cases
frontend

Angular + NestJS

A TypeScript stack pairing the Angular front end with the NestJS backend, sharing patterns and types for structured enterprise apps.

Technologies
5 components
angularnestjstypescript+2
4 use cases
frontend

SolidStart

A fullstack framework built on Solid's fine-grained reactivity, offering SSR, server functions, and high performance with a React-like API.

Technologies
4 components
solidstartsolidfine-grained-reactivity+2
4 use cases
frontend

Blitz.js

A fullstack toolkit on top of Next.js that removes the API layer with typed server-side queries and mutations for rapid app building.

Technologies
5 components
blitzjsnextjszero-api+2
4 use cases
frontend

Vue + Nuxt + Pinia

A Vue-centric fullstack using Nuxt for SSR and server routes with Pinia for state management, for SEO-friendly interactive web apps.

Technologies
5 components
vuenuxtpinia+2
4 use cases
backend

Elixir + Phoenix

A backend-focused web stack using Elixir on the BEAM with the Phoenix framework for highly concurrent, fault-tolerant web services.

Technologies
3 components
elixirphoenixbeam+2
4 use cases
frontend

JAMstack (Headless)

An architecture of pre-rendered markup, JavaScript, and APIs that decouples the front end from services for fast, secure, scalable sites.

Technologies
4 components
jamstackstatic-siteheadless+2
4 use cases
backend

HTMX + Go

A hypermedia-driven stack pairing HTMX with a Go backend to build interactive web apps using HTML over the wire and minimal JavaScript.

Technologies
4 components
htmxgohypermedia+2
4 use cases
backend

Django + DRF

A Python backend stack combining Django with Django REST Framework to build secure, well-structured REST APIs and admin-driven apps.

Technologies
4 components
djangodrfrest-api+2
4 use cases
frontend

Qwik City

A resumable fullstack framework using Qwik and Qwik City to deliver instant-loading apps with near-zero JavaScript via lazy execution.

Technologies
4 components
qwikqwik-cityresumability+2
4 use cases
backend

Spring Boot Enterprise Stack

Java backend stack built on Spring Boot with PostgreSQL and Redis for production REST services and enterprise applications.

Technologies
5 components
spring-bootjava-backendrest-api+2
4 use cases
backend

.NET Web API Stack

Modern C# backend stack using ASP.NET Core, Entity Framework Core, and SQL Server or PostgreSQL for high-performance cross-platform services.

Technologies
4 components
dotnetaspnet-corecsharp-backend+2
4 use cases
backend

FastAPI + SQLAlchemy Stack

Async Python backend stack using FastAPI, SQLAlchemy, and PostgreSQL for high-performance, type-hinted REST and ML-serving APIs.

Technologies
5 components
fastapisqlalchemyasync-python+2
4 use cases
microservices

Go + gRPC Stack

Compiled Go backend stack using gRPC and Protocol Buffers with PostgreSQL for fast, strongly-typed inter-service communication.

Technologies
4 components
gogrpcprotobuf+2
4 use cases
backend

Go + Gin + Postgres Stack

Lightweight Go REST backend using the Gin web framework with PostgreSQL and Redis for fast, simple, high-throughput HTTP APIs.

Technologies
5 components
goginrest-api+2
4 use cases
backend

Node + Express + Mongo Stack

JavaScript backend stack using Node.js, Express, and MongoDB for flexible, schema-light REST APIs and rapid prototyping.

Technologies
5 components
nodejsexpressmongodb+2
4 use cases
backend

NestJS + Postgres Stack

Structured TypeScript backend stack using NestJS with PostgreSQL and an ORM for scalable, modular, enterprise-grade Node.js services.

Technologies
5 components
nestjstypescript-backendpostgres+2
4 use cases
backend

Rails API Stack

Ruby on Rails backend in API mode with PostgreSQL and Redis for convention-driven, fast-to-build REST services and SaaS backends.

Technologies
5 components
railsruby-on-railsrest-api+2
4 use cases
backend

Quarkus Cloud-Native Java Stack

Cloud-native Java backend using Quarkus with GraalVM native compilation and PostgreSQL for fast-starting, low-memory containerized services.

Technologies
5 components
quarkusgraalvmnative-image+2
4 use cases
microservices

Micronaut JVM Microservices Stack

JVM microservices stack using Micronaut with ahead-of-time compilation and PostgreSQL for low-memory, fast-starting services and serverless functions.

Technologies
5 components
micronautjvm-microservicesahead-of-time+2
4 use cases
backend

Ktor Kotlin Backend Stack

Asynchronous Kotlin backend using the Ktor framework with PostgreSQL and coroutines for lightweight, idiomatic, non-blocking services.

Technologies
4 components
ktorkotlin-backendcoroutines+2
4 use cases
backend

Rust Axum/Actix Backend Stack

High-performance, memory-safe Rust backend using Axum or Actix with PostgreSQL for low-latency, resource-efficient services.

Technologies
4 components
rustaxumactix+2
4 use cases
backend

Phoenix Elixir Stack

Concurrent Elixir backend using the Phoenix framework on the BEAM VM with PostgreSQL for fault-tolerant, real-time, highly concurrent services.

Technologies
5 components
phoenixelixirbeam+2
4 use cases
cloud-architecture

Kubernetes + Istio Service Mesh Stack

Cloud-native platform stack pairing Kubernetes orchestration with the Istio service mesh for traffic management, security, and observability.

Technologies
6 components
kubernetesistioservice-mesh+2
4 use cases
cloud

Knative Serverless Containers Stack

Kubernetes-based serverless stack using Knative for scale-to-zero, request-driven container workloads with event-driven autoscaling.

Technologies
4 components
knativeserverlessscale-to-zero+2
4 use cases
cloud

AWS Serverless Stack

Fully managed AWS serverless stack using Lambda, DynamoDB, and API Gateway for event-driven, pay-per-use applications with no server management.

Technologies
4 components
aws-lambdadynamodbapi-gateway+2
4 use cases
cloud

Azure Serverless Stack

Managed Microsoft Azure serverless stack using Azure Functions and Cosmos DB for event-driven, globally distributed, pay-per-use applications.

Technologies
3 components
azure-functionscosmos-dbserverless+2
4 use cases
cloud

GCP Serverless Stack

Google Cloud serverless stack using Cloud Run and Firestore for container-based, scale-to-zero applications with managed NoSQL storage.

Technologies
4 components
cloud-runfirestoreserverless+2
4 use cases
data-engineering

Kafka + Flink Streaming Stack

Real-time stream processing stack pairing Apache Kafka for durable event streams with Apache Flink for stateful, low-latency computation.

Technologies
4 components
kafkaflinkstream-processing+2
4 use cases
microservices

Event-Driven Microservices Stack

Asynchronous microservices architecture using Kafka as an event backbone with independently deployable services for loose coupling and scalability.

Technologies
4 components
event-drivenmicroserviceskafka+2
4 use cases
microservices

gRPC Service Mesh Stack

Microservices stack combining gRPC inter-service communication with a service mesh on Kubernetes for typed, observable, secure service-to-service traffic.

Technologies
5 components
grpcservice-meshkubernetes+2
4 use cases
microservices

Dapr Distributed Application Stack

Polyglot microservices stack using Dapr building blocks for service invocation, state, pub/sub, and bindings, abstracted from underlying infrastructure.

Technologies
4 components
daprbuilding-blockssidecar+2
4 use cases
cloud

Serverless Containers Stack

Cloud stack running standard OCI containers on managed serverless platforms for scale-to-zero, pay-per-use workloads without cluster management.

Technologies
4 components
serverless-containersscale-to-zerofargate+2
4 use cases
containers

AWS ECS Fargate Containers Stack

Managed container stack running Docker workloads on AWS ECS with Fargate serverless compute, behind a load balancer, without managing servers or clusters.

Technologies
4 components
ecsfargatecontainers+2
4 use cases
data-engineering

Modern Data Stack (ELT)

Cloud-native ELT pattern: managed ingestion loads raw data into a warehouse, where dbt transforms it and a BI tool serves analytics.

Technologies
2 components
modern-data-stackeltdata-warehouse+2
4 use cases
data-engineering

dbt + BigQuery Analytics Stack

Serverless analytics engineering on Google BigQuery with dbt managing SQL transformations, tests, and lineage on top of warehouse-native compute.

Technologies
2 components
dbtbigqueryanalytics-engineering+2
4 use cases
data-engineering

Databricks Lakehouse

Unified lakehouse architecture combining data-lake storage with warehouse reliability via Delta Lake, Spark compute, Unity Catalog governance, and ML.

Technologies
3 components
databrickslakehousedelta-lake+2
4 use cases
data-engineering

Kafka + Flink + Iceberg Streaming Stack

Real-time streaming architecture: Kafka transports events, Flink processes them with stateful low-latency compute, and Iceberg lands them in an open lakehouse.

Technologies
3 components
kafkaflinkiceberg+2
4 use cases
data-engineering

Airflow + Spark Batch Pipeline Stack

Classic big-data batch pattern: Apache Airflow orchestrates scheduled DAGs that run distributed Apache Spark jobs over data-lake storage.

Technologies
3 components
airflowsparkbatch-processing+2
4 use cases
ai-ml

MLflow MLOps Stack

End-to-end MLOps pattern using MLflow for experiment tracking, model registry, packaging, and deployment, integrated with feature, data, and serving layers.

Technologies
3 components
mlflowmlopsmodel-registry+2
4 use cases
ai-ml

RAG Stack (LangChain + pgvector + LLM)

Retrieval-augmented generation stack: LangChain orchestrates retrieval over pgvector embeddings in Postgres and grounds an LLM's answers in your own data.

Technologies
3 components
raglangchainpgvector+2
4 use cases
ai-ml

Kubeflow ML Platform

Kubernetes-native ML platform: Kubeflow Pipelines, training operators, KServe serving, and Katib tuning run the ML lifecycle on Kubernetes.

Technologies
3 components
kubeflowmlopskubernetes+2
4 use cases
ai-ml

Feast Feature Store Stack

Feature store pattern using Feast to define, materialize, and serve consistent ML features from an offline warehouse and a low-latency online store.

Technologies
3 components
feastfeature-storemlops+2
4 use cases
observability

ELK Analytics Stack

Elasticsearch, Logstash, and Kibana for ingesting, indexing, searching, and visualizing logs, metrics, and events at scale.

Technologies
2 components
elkelasticsearchlogstash+2
4 use cases
frontend

Flutter + Firebase Stack

Cross-platform mobile stack: Flutter builds one Dart codebase for iOS, Android, and web, backed by Firebase for auth, database, storage, and serverless functions.

Technologies
3 components
flutterfirebasecross-platform+2
4 use cases
frontend

React Native + Expo Stack

Cross-platform mobile stack using React Native with the Expo framework for managed builds, OTA updates, and native APIs from one JavaScript/TypeScript codebase.

Technologies
3 components
react-nativeexpocross-platform+2
4 use cases
frontend

Native iOS (Swift + SwiftUI)

Apple-native mobile stack building iOS apps with Swift and the declarative SwiftUI framework, using Xcode and first-party Apple platform frameworks.

Technologies
1 component
iosswiftswiftui+2
4 use cases
frontend

Native Android (Kotlin + Compose)

Google-native mobile stack building Android apps with Kotlin and the declarative Jetpack Compose UI toolkit, using Android Studio and Jetpack libraries.

Technologies
1 component
androidkotlinjetpack-compose+2
4 use cases
frontend

Kotlin Multiplatform (KMP)

Shared-logic cross-platform stack: Kotlin Multiplatform shares business logic across iOS, Android, and more, while UIs stay native or use Compose Multiplatform.

Technologies
2 components
kotlin-multiplatformkmpcross-platform+2
4 use cases
observability

PLG Stack (Prometheus + Loki + Grafana)

Open-source observability stack: Prometheus collects metrics, Loki aggregates logs, and Grafana unifies visualization, dashboards, and alerting.

Technologies
3 components
prometheuslokigrafana+2
4 use cases
observability

Elastic Observability Stack

Observability built on the Elastic Stack: Beats and APM agents feed Elasticsearch, with Kibana unifying logs, metrics, and traces in one platform.

Technologies
2 components
elasticobservabilityapm+2
4 use cases
devops

GitOps Stack (ArgoCD + Terraform)

GitOps delivery: Terraform provisions infrastructure declaratively while ArgoCD continuously syncs Kubernetes application state from Git as the source of truth.

Technologies
3 components
gitopsargocdterraform+2
4 use cases
observability

Grafana LGTM Stack

Grafana's full observability suite: Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics at scale, unified under OpenTelemetry.

Technologies
3 components
grafanalgtmtempo+2
4 use cases
observability

OpenTelemetry + Tempo + Grafana Tracing Stack

Vendor-neutral distributed tracing: OpenTelemetry instruments and collects traces, Tempo stores them cheaply in object storage, and Grafana visualizes them.

Technologies
3 components
opentelemetrytempografana+2
4 use cases
infrastructure

HashiCorp Stack (Terraform + Vault + Consul + Nomad)

Cloud-agnostic infrastructure suite: Terraform provisions, Vault manages secrets, Consul handles service networking, and Nomad schedules workloads.

Technologies
3 components
hashicorpterraformvault+2
4 use cases
data-engineering

ClickHouse Real-Time Analytics Stack

High-performance analytics stack: ClickHouse ingests event streams from Kafka and serves sub-second OLAP queries powering user-facing dashboards.

Technologies
3 components
clickhousereal-time-analyticsolap+2
4 use cases
data-engineering

Open Lakehouse Stack (Trino + Iceberg + dbt)

Open, engine-agnostic lakehouse: Iceberg tables on object storage, queried by Trino across sources, with dbt managing transformations in SQL.

Technologies
3 components
lakehousetrinoiceberg+2
4 use cases
ai-ml

LLM Agent Stack

Agentic AI stack: an orchestration framework drives an LLM to reason, call tools and APIs, and use vector memory to complete multi-step tasks autonomously.

Technologies
3 components
llm-agentsai-agentstool-use+2
4 use cases
observability

Jaeger Distributed Tracing Stack

CNCF distributed tracing stack: OpenTelemetry instrumentation feeds Jaeger, which stores spans in Elasticsearch or Cassandra and visualizes request flows.

Technologies
3 components
jaegerdistributed-tracingopentelemetry+2
4 use cases
backend

Vue + Laravel SPA

A Vue single-page frontend talking to a Laravel JSON API, a common PHP full-stack pairing for content-heavy and SaaS applications.

Technologies
6 components
vue-laravelphp-spalaravel-api+2
4 use cases
backend

React + Spring Boot

A React frontend backed by a Java Spring Boot REST API, a workhorse enterprise stack for large, long-lived business applications.

Technologies
6 components
react-javaspring-boot-restenterprise-stack+2
4 use cases
backend

Angular + Spring Boot

An Angular frontend over a Spring Boot Java backend, a strongly opinionated, fully typed enterprise stack favored by large IT organizations.

Technologies
6 components
angular-javaspring-boot-angularenterprise-typescript+2
4 use cases
backend

React + Django REST Framework

A React frontend consuming a Django REST Framework API, a productive Python full-stack for data-rich and ML-adjacent web applications.

Technologies
6 components
react-djangodjango-rest-frameworkpython-spa+2
4 use cases
frontend

SvelteKit + Postgres

A full-stack SvelteKit application with server routes and a PostgreSQL database, delivering fast, lightweight web apps with minimal JavaScript.

Technologies
6 components
sveltekit-postgressvelte-fullstackserver-routes+2
4 use cases
backend

Express + React + Postgres

A classic JavaScript full stack: an Express REST API on Node.js, a React frontend, and a PostgreSQL database, flexible and widely understood.

Technologies
6 components
express-reactnode-postgresrest-api+2
4 use cases
backend

Fastify + Prisma

A high-performance Node.js backend using Fastify with schema-based validation and Prisma ORM over PostgreSQL, built for low-overhead, type-safe APIs.

Technologies
6 components
fastify-prismanode-performancejson-schema+2
4 use cases
backend

AdonisJS Full-Stack

An opinionated, batteries-included Node.js MVC framework with its own ORM, auth, and validation, bringing a Laravel-like experience to TypeScript.

Technologies
6 components
adonisjsnode-mvclucid-orm+2
4 use cases
frontend

Gatsby + Headless CMS

A React-based static site generator that sources content from a headless CMS and APIs through GraphQL, producing fast, pre-built marketing and content sites.

Technologies
6 components
gatsbyheadless-cmsstatic-site-generator+2
4 use cases
frontend

Eleventy + Netlify

A lightweight, zero-runtime static site generator paired with Netlify hosting and functions, producing simple, fast sites with minimal JavaScript.

Technologies
5 components
eleventy11tystatic-site-generator+2
4 use cases
frontend

Hugo + CDN

A Go-powered static site generator known for extremely fast builds, paired with a global CDN to serve large content sites cheaply and quickly.

Technologies
6 components
hugostatic-site-generatorfast-builds+2
4 use cases
backend

Vapor Swift Server

A server-side Swift web framework using async/await and a typed ORM, letting iOS-focused teams build backends in the same language as their apps.

Technologies
6 components
vaporserver-side-swiftfluent-orm+2
4 use cases
microservices

Vert.x Reactive Stack

A polyglot, event-driven toolkit on the JVM built around a non-blocking event loop and the reactor pattern for high-concurrency, low-latency services.

Technologies
6 components
vertxreactiveevent-loop+2
4 use cases
backend

Play Framework (Scala)

A reactive, stateless web framework on the JVM written for Scala (and Java), built on Akka for non-blocking, high-throughput web applications and APIs.

Technologies
6 components
play-frameworkscala-webreactive+2
4 use cases
microservices

Spring WebFlux Reactive

Spring's reactive, non-blocking web stack built on Project Reactor and Netty, for high-concurrency services that need backpressure and efficient resource use.

Technologies
6 components
spring-webfluxreactive-streamsproject-reactor+2
4 use cases
backend

Ktor + Exposed

A lightweight, coroutine-based Kotlin web framework paired with the Exposed SQL library, for idiomatic, asynchronous Kotlin backends and APIs.

Technologies
6 components
ktorexposedkotlin-coroutines+2
4 use cases
backend

Rocket (Rust) Stack

An ergonomic, type-safe Rust web framework with compile-time route checking and request guards, paired with a database for fast, safe backends.

Technologies
6 components
rocketrust-webtype-safe+2
4 use cases
backend

Axum + SQLx (Rust)

A modern async Rust backend built on the Tokio runtime with the Tower middleware ecosystem and compile-time-checked SQL via SQLx.

Technologies
6 components
axumsqlxtokio+2
4 use cases
backend

Symfony + API Platform

A robust PHP stack using the Symfony framework and API Platform to generate REST and GraphQL APIs from data models with documentation and standards built in.

Technologies
6 components
symfonyapi-platformphp-api+2
4 use cases
backend

ASP.NET MVC + EF Core

Microsoft's server-rendered web stack using ASP.NET Core MVC and Entity Framework Core over SQL Server or Postgres, for robust enterprise web applications.

Technologies
6 components
aspnet-mvcentity-frameworkdotnet-web+2
4 use cases
backend

FastAPI + HTMX

A modern Python stack pairing the async FastAPI framework with HTMX to build dynamic, server-rendered web apps with little custom JavaScript.

Technologies
6 components
fastapi-htmxhypermediaserver-rendered+2
4 use cases
backend

Gin + GORM

A fast, lightweight Go web stack pairing the Gin HTTP framework with the GORM ORM, popular for high-performance REST APIs and backend services.

Technologies
6 components
gingormgo-web+2
4 use cases
backend

Echo + Ent

A performant Go web stack combining the Echo framework with Ent, an entity framework that generates type-safe, graph-aware data access code from schemas.

Technologies
6 components
echoentgo-web+2
4 use cases
data-engineering

Snowflake + Fivetran + Looker

A fully managed cloud analytics stack: Fivetran ingests data, Snowflake stores and transforms it, and Looker serves governed BI on top.

Technologies
2 components
cloud-warehouseeltbi+2
4 use cases
data-engineering

dbt + Amazon Redshift

An ELT analytics stack where data lands in Amazon Redshift and dbt transforms it with version-controlled, tested SQL models.

Technologies
2 components
redshiftdbtelt+2
4 use cases
data-engineering

Databricks + Unity Catalog

A governed lakehouse stack centering Databricks compute and Delta Lake storage under Unity Catalog for unified data and AI governance.

Technologies
3 components
lakehouseunity-catalogdelta-lake+2
4 use cases
data-engineering

Kafka + ksqlDB

A stream-processing stack using Apache Kafka for event transport and ksqlDB for SQL-based streaming transformations and materialized views.

Technologies
3 components
kafkaksqldbstream-processing+2
4 use cases
data-engineering

Flink + Apache Paimon

A streaming lakehouse stack using Apache Flink for unified stream and batch processing over Apache Paimon's high-update table format.

Technologies
3 components
flinkpaimonstreaming-lakehouse+2
4 use cases
data-engineering

Spark + Delta Lake

A lakehouse foundation pairing Apache Spark for distributed processing with Delta Lake's ACID table format over cloud object storage.

Technologies
3 components
sparkdelta-lakelakehouse+2
4 use cases
data-engineering

Trino + Iceberg + S3

An open lakehouse query stack: Trino runs fast SQL across Apache Iceberg tables stored as open files on Amazon S3.

Technologies
3 components
trinoiceberglakehouse+2
4 use cases
data-engineering

ClickHouse + Grafana

A real-time analytics stack using ClickHouse as a fast columnar OLAP database with Grafana for dashboards over high-volume event data.

Technologies
3 components
clickhousegrafanaolap+2
4 use cases
data-engineering

Apache Druid + Superset

A real-time OLAP stack using Apache Druid for sub-second slice-and-dice queries and Apache Superset for self-service exploration.

Technologies
3 components
druidsupersetreal-time-olap+2
4 use cases
data-engineering

Apache Pinot Real-Time Analytics

A user-facing analytics stack built on Apache Pinot for ultra-low-latency, high-throughput queries over fresh streaming data.

Technologies
3 components
pinotreal-time-olapuser-facing-analytics+2
4 use cases
data-engineering

Airbyte + dbt + Snowflake

An open-core ELT stack: Airbyte ingests data, Snowflake stores it, and dbt transforms it with tested, version-controlled SQL models.

Technologies
2 components
airbytedbtsnowflake+2
4 use cases
data-engineering

Dagster + dbt

An asset-oriented data orchestration stack where Dagster schedules and observes pipelines built around dbt's transformation models.

Technologies
2 components
dagsterdbtorchestration+2
4 use cases
data-engineering

Prefect + Spark

A Python-native orchestration stack where Prefect schedules and monitors large-scale data processing jobs running on Apache Spark.

Technologies
3 components
prefectsparkorchestration+2
4 use cases
ai-ml

Ray Distributed ML

A unified compute stack using Ray to scale Python machine learning workloads from data processing through training to serving.

Technologies
3 components
raydistributed-computingml-training+2
4 use cases
ai-ml

vLLM + Ray Serve

A high-throughput LLM serving stack combining vLLM's optimized inference engine with Ray Serve for scalable, multi-replica deployment.

Technologies
3 components
vllmray-servellm-inference+2
4 use cases
ai-ml

LangGraph + pgvector

An agentic LLM application stack using LangGraph for stateful agent workflows backed by Postgres with pgvector for retrieval and memory.

Technologies
3 components
langgraphpgvectoragents+2
4 use cases
ai-ml

Haystack RAG

A production RAG stack built on the Haystack framework for composable retrieval-augmented generation pipelines over a document store.

Technologies
3 components
haystackragretrieval+2
4 use cases
ai-ml

LlamaIndex + Qdrant

A RAG and data-framework stack pairing LlamaIndex for LLM data ingestion and querying with Qdrant as a high-performance vector database.

Technologies
2 components
llamaindexqdrantrag+2
4 use cases
cloud-architecture

Amazon Bedrock RAG

A managed RAG stack on AWS using Amazon Bedrock foundation models with Knowledge Bases for retrieval over data stored in S3.

Technologies
3 components
bedrockragaws+2
4 use cases
cloud-architecture

Vertex AI Pipeline

A managed MLOps stack on Google Cloud using Vertex AI Pipelines to orchestrate training, evaluation, and deployment of ML models.

Technologies
2 components
vertex-aimlopsgcp+2
4 use cases
cloud-architecture

Amazon SageMaker MLOps

A managed MLOps stack on AWS using Amazon SageMaker to build, train, deploy, and monitor machine learning models end to end.

Technologies
3 components
sagemakermlopsaws+2
4 use cases
ai-ml

Triton Inference Server

A high-performance model-serving stack using NVIDIA Triton to serve models from any framework with GPU optimization on Kubernetes.

Technologies
3 components
tritonmodel-servinggpu+2
4 use cases
ai-ml

Tecton Feature Store

A production feature platform stack using Tecton to define, compute, and serve consistent ML features for training and real-time inference.

Technologies
2 components
tectonfeature-storemlops+2
4 use cases
data-engineering

Kafka + Flink Streaming Lakehouse

An end-to-end streaming lakehouse stack: Kafka ingests events, Flink processes them in real time, and Iceberg tables on S3 serve analytics.

Technologies
3 components
streaming-lakehousekafkaflink+2
4 use cases
ai-ml

MosaicML Composer Training

A large-scale model training stack using Composer and the MosaicML toolkit to train and fine-tune models efficiently on GPU clusters.

Technologies
3 components
mosaicmlcomposermodel-training+2
4 use cases
frontend

Ionic + Capacitor

A cross-platform mobile stack that builds native iOS, Android, and web apps from a single web codebase using Ionic UI components and Capacitor native runtime.

Technologies
5 components
ioniccapacitorhybrid-mobile+2
4 use cases
frontend

NativeScript

An open-source framework for building truly native iOS and Android apps from a single JavaScript or TypeScript codebase with direct access to native APIs.

Technologies
5 components
nativescriptnative-mobilecross-platform+2
4 use cases
frontend

.NET MAUI

Microsoft's cross-platform framework for building native mobile and desktop apps for iOS, Android, macOS, and Windows from a single C# and XAML codebase.

Technologies
1 component
mauidotnetcsharp+2
4 use cases
frontend

Xamarin (Legacy)

Microsoft's earlier cross-platform mobile framework using C# and Xamarin.Forms, now superseded by .NET MAUI but still present in many maintained codebases.

Technologies
1 component
xamarinxamarin-formscsharp+2
4 use cases
frontend

Expo Router + Supabase

A full-stack mobile stack pairing React Native via Expo with file-based Expo Router navigation and Supabase for auth, Postgres, storage, and realtime.

Technologies
5 components
expoexpo-routerreact-native+2
4 use cases
frontend

Flutter + Riverpod

A cross-platform stack pairing Google's Flutter UI toolkit with the Riverpod state-management library for type-safe, testable Dart apps across mobile, web, and desktop.

Technologies
2 components
flutterriverpoddart+2
4 use cases
frontend

SwiftUI + Combine

Apple's modern native stack pairing the declarative SwiftUI framework with the Combine reactive framework for building iOS, macOS, watchOS, and tvOS apps.

Technologies
1 component
swiftuicombineswift+2
4 use cases
frontend

Compose Multiplatform

JetBrains' declarative UI framework built on Kotlin Multiplatform, sharing UI and logic across Android, iOS, desktop, and web from one Kotlin codebase.

Technologies
1 component
compose-multiplatformkotlinjetbrains+2
4 use cases
observability

Prometheus + Thanos

A scalable, highly available metrics stack extending Prometheus with Thanos for global query, long-term object-storage retention, and multi-cluster aggregation.

Technologies
4 components
prometheusthanosmetrics+2
4 use cases
observability

Datadog Full Platform

A unified commercial SaaS observability stack covering metrics, traces, logs, RUM, security, and infrastructure monitoring through Datadog agents and integrations.

Technologies
2 components
datadogsaas-observabilityapm+2
4 use cases
observability

New Relic Platform

A consumption-based SaaS observability platform unifying APM, infrastructure, logs, and browser monitoring on a single telemetry database with OpenTelemetry support.

Technologies
2 components
new-relicsaas-observabilityapm+2
4 use cases
observability

Sentry + OpenTelemetry

An application monitoring stack pairing Sentry's error tracking and performance monitoring with OpenTelemetry instrumentation for vendor-neutral traces and metrics.

Technologies
3 components
sentryopentelemetryerror-tracking+2
4 use cases
observability

Jaeger + OpenTelemetry + Prometheus

An open-source observability stack combining OpenTelemetry instrumentation, Jaeger distributed tracing, and Prometheus metrics, visualized in Grafana.

Technologies
4 components
jaegeropentelemetryprometheus+2
4 use cases
observability

Loki + Tempo + Mimir

Grafana Labs' scalable, object-storage-backed observability stack for logs (Loki), traces (Tempo), and metrics (Mimir), unified in Grafana.

Technologies
4 components
lokitempomimir+2
4 use cases
infrastructure

Vault + Consul

A HashiCorp infrastructure stack pairing Vault for secrets management and dynamic credentials with Consul for service discovery, configuration, and service mesh.

Technologies
3 components
vaultconsulsecrets-management+2
4 use cases
devops

Spinnaker Continuous Delivery

An open-source, multi-cloud continuous delivery platform for managing complex deployment pipelines with advanced strategies like canary, blue-green, and rollback.

Technologies
3 components
spinnakercontinuous-deliverymulti-cloud+2
4 use cases
devops

Jenkins + Nexus

A self-hosted CI and artifact-management stack pairing Jenkins automation pipelines with Sonatype Nexus as a binary repository for builds and dependencies.

Technologies
3 components
jenkinsnexusci-cd+2
4 use cases
devops

Tekton + Argo CD

A Kubernetes-native CI/CD stack pairing Tekton pipelines for in-cluster continuous integration with Argo CD for GitOps-based continuous delivery.

Technologies
4 components
tektonargocdgitops+2
4 use cases
cloud

Cloudflare Workers + D1 + R2

A serverless edge stack running JavaScript at Cloudflare's edge with Workers, the D1 SQLite database, and R2 object storage for low-latency global apps.

Technologies
4 components
cloudflare-workersd1r2+2
4 use cases
cloud

Deno Deploy Edge

A serverless edge runtime stack built on Deno, running secure TypeScript and JavaScript globally with web-standard APIs and built-in KV storage.

Technologies
2 components
denodeno-deployedge-runtime+2
4 use cases
cloud

Fastly Compute Edge

A high-performance edge computing stack running WebAssembly at Fastly's network for ultra-fast, secure serverless logic close to users.

Technologies
3 components
fastlycomputeedge-computing+2
4 use cases
backend

Supabase Realtime Stack

A realtime application stack built on Supabase, streaming Postgres changes, broadcast messages, and presence to clients over WebSockets atop row-level security.

Technologies
4 components
supabaserealtimepostgres+2
4 use cases
backend

Firebase Realtime Stack

A serverless realtime app stack on Google Firebase using Cloud Firestore and the Realtime Database, with Auth, Cloud Functions, and offline sync for mobile and web.

Technologies
3 components
firebasefirestorerealtime-database+2
4 use cases
backend

Salesforce Platform

An enterprise low-code and pro-code application platform on Salesforce, using Apex, Lightning Web Components, and the data model to extend CRM and build business apps.

Technologies
1 component
salesforceapexlightning-web-components+2
4 use cases
cloud

SAP BTP

SAP Business Technology Platform: an enterprise PaaS for extending and integrating SAP systems, building apps with the Cloud Application Programming model, Fiori, and integration services.

Technologies
4 components
sap-btpcapfiori+2
4 use cases