Workflow orchestration platform for data pipelines
Apache Airflow is an open-source workflow orchestration platform with 39K+ GitHub stars for authoring, scheduling, and monitoring data pipelines as Python DAGs. Used by 80K+ organizations for ETL, ML training, and data transformation. Features dynamic pipeline generation, extensive operator library for AWS/GCP/Azure, task dependencies, retries, SLA monitoring, a rich web UI with Gantt charts, and pluggable executors from local to Kubernetes. The industry standard for pipeline orchestration.
Apache Airflow is the industry standard for workflow orchestration, defining complex data pipelines as DAGs in Python. 39K+ GitHub stars, 80K+ organizations, billions of tasks daily.
Pipelines as Python code provide full flexibility. Extensive operators connect to AWS, GCP, Azure, databases, and APIs.
Web UI shows real-time status, Gantt charts, and task logs. Executors scale from local to Kubernetes. Managed services include Cloud Composer, AWS MWAA, and Astronomer.
100% free and open-source data workflow orchestration platform distributed under the Apache-2.0 license by the Apache Software Foundation. Self-hosting via Docker or official Kubernetes Helm charts has zero software licensing fees. Organizations only bear their underlying compute, storage, and database infrastructure costs. Managed SaaS/PaaS alternatives are available through third-party cloud providers including AWS MWAA, Google Cloud Composer, and Astronomer Astro.
full pricing breakdown →Python, Docker, Kubernetes, Cloud
Open-source browser infrastructure for AI agents at scale
Steel is an open-source browser API purpose-built for AI agents, providing managed headless browser sessions with anti-bot bypass, proxy rotation, CAPTCHA solving, and session persistence. It handles the infrastructure layer that browser automation agents like Browser Use and Stagehand run on top of. Self-hostable or available as a cloud service. Over 6,000 GitHub stars.
Open-source background jobs and AI workflows for TypeScript
Trigger.dev is an open-source platform for building and deploying background jobs, AI agents, and long-running workflows in TypeScript. It eliminates serverless timeouts with durable task execution, automatic retries, queue-based concurrency control, and elastic scaling. Used by 30,000+ developers at companies like MagicSchool and Icon.com, it processes hundreds of millions of agent runs monthly. Backed by a $16M Series A led by Dalton Caldwell's Standard Capital fund.
Open-source PaaS alternative to Vercel, Heroku, and Netlify
Dokploy is a free open-source platform-as-a-service for self-hosting applications without cloud vendor lock-in. It provides automated deployments from Git repositories, built-in SSL certificates, database provisioning, Docker and Docker Compose support, and a clean web dashboard for managing multiple applications on your own servers. With 18,000+ GitHub stars, it fills the gap for teams wanting Vercel-like deployment simplicity on their own infrastructure.
Three Python-native workflow orchestration platforms for data pipelines, ML training, and ETL. Airflow is the battle-tested industry standard, Dagster introduces software-defined assets for declarative data management, and Prefect offers the simplest Python-native developer experience with minimal boilerplate.
Verification dates are editorial checks. Routine CMS saves and automatic updatedAt timestamps do not advance them.
Apache Airflow is an open-source workflow orchestration platform with 39K+ GitHub stars for authoring, scheduling, and monitoring data pipelines as Python DAGs. Used by 80K+ organizations for ETL, ML training, and data transformation. Features dynamic pipeline generation, extensive operator library for AWS/GCP/Azure, task dependencies, retries, SLA monitoring, a rich web UI with Gantt charts, and pluggable executors from local to Kubernetes. The industry standard for pipeline orchestration.
Yes — Apache Airflow is free to use. 100% free and open-source data workflow orchestration platform distributed under the Apache-2.0 license by the Apache Software Foundation. Self-hosting via Docker or official Kubernetes Helm charts has zero software licensing fees. Organizations only bear their underlying compute, storage, and database infrastructure costs. Managed SaaS/PaaS alternatives are available through third-party cloud providers including AWS MWAA, Google Cloud Composer, and Astronomer Astro.
Yes — Apache Airflow is open source.
Yes — Apache Airflow is active. Its listing was last verified on September 6, 2026.
The first editor-selected Apache Airflow alternatives are Steel, Trigger.dev, Dokploy.
computed discovery: shared active categories
eBPF-based networking, security, and observability for Kubernetes
Cilium is a CNCF Graduated, Apache-2.0 project for Kubernetes networking, security, and observability using eBPF. It can replace kube-proxy, enforce identity-aware L3-L7 network policies, and add Hubble flow observability plus Tetragon runtime-security signals. Current source checks support GKE Dataplane V2 using Cilium/eBPF and Azure CNI Powered by Cilium for AKS.
Fast and lightweight Docker Desktop alternative for macOS
OrbStack is a macOS application that replaces Docker Desktop with lightweight container and Linux VM management. Its docs emphasize fast starts, lower CPU and memory overhead, and native macOS integration with menu bar controls, file sharing, and network access to containers by name, with exact gains depending on workload. Supports Docker, Kubernetes, and full Linux VMs.
Distributed AI compute engine for scaling Python and ML workloads
Ray is an open-source distributed computing framework built for scaling AI and Python applications from a laptop to thousands of GPUs. It provides libraries for distributed training, hyperparameter tuning, model serving, reinforcement learning, and data processing under a single unified API. Ray's public site highlights OpenAI and other enterprise users. Maintained by Anyscale with Apache-2.0 open-source licensing.
Run GitHub Actions locally for fast feedback
Act is an open-source tool that runs GitHub Actions workflows locally using Docker containers that match GitHub's execution environment. It provides instant feedback on workflow changes without pushing to a repository, supports matrix builds, secret management, and artifact handling. Act can also replace Makefiles by using workflow files as task definitions, making it useful for both CI/CD development and local task automation across development teams.
Drop-in authentication for modern JavaScript apps
Clerk is a complete authentication and user management platform for React, Next.js, and modern JavaScript frameworks. It provides pre-built UI for sign-in, sign-up, user profiles, organizations, MFA, passkeys, JWT sessions, webhooks, and billing. The Hobby plan supports up to 50,000 monthly retained users per app, with Pro, Business, and Enterprise tiers for growing teams.
Build, share, and run containers
Industry-standard container platform for building, shipping, and running applications in isolated, reproducible environments. Package apps with all dependencies into portable containers using Dockerfiles and images. Docker Compose orchestrates multi-container applications. Docker Hub hosts millions of pre-built images. Docker Desktop provides GUI management on Mac/Windows. Essential for local development, CI/CD, and production deployments. The foundation of modern containerized infrastructure.
