Open Source Alternatives to Automatiq AI

A unified data analytics and AI platform built on the lakehouse architecture.

No-code, open-source cloud automation platform for FinOps and custom solutions.

An open-source orchestration platform for unifying data pipelines, AI workflows, and business processes.

A managed, private, and production-grade environment for OpenClaw, offering access to over 500 AI models and essential tools.

Ark Infotech offers Cybersecurity, AI/ML, Data Analytics, and IT consulting services, including the Slauth.io IAM Policy Copilot.

Open-source Node.js backend development platform for accelerating application development.

An open-source TypeScript/JavaScript framework for building AI agents, from the creators of Gatsby.

Open-source, end-to-end MLOps platform for enterprise AI development and deployment.

Elementary Data provides a unified data control plane for the AI era, offering observability, quality, governance, and discovery for data and AI reliability.

Track experiments, validate models, and collaborate with confidence using Skore, the methodology layer for AI coding tools.

Industry-standard API simulation and mocking platform for reliable software development and testing.

An AI-native workspace designed to turn team interactions into actionable, proprietary data for agentic workflows.

Open-source alert management platform using AI to reduce noise and improve alert actionability for engineers.

Cua provides an open-source framework and cloud desktops for AI agents to control operating systems and desktop applications across Linux, Windows, macOS, and Android.

A suite of open-source and professional tools for API design, development, documentation, and testing.

Best free & open source AI personal assistant.

Open-source platform for programmatically authoring, scheduling, and monitoring data pipelines.

Open-source, no-code platform for building and deploying AI agents, workflows, and generative AI applications.

Adala is an Autonomous DAta (Labeling) Agent framework for data processing and labeling tasks.

Commercializes the open-source Grafana observability platform with AI features.

Together AI offers an AI-native cloud platform providing high-performance inference APIs, GPU clusters, and fine-tuning capabilities for open-source AI models.

ScyllaDB is a high-performance, low-latency NoSQL database for data-intensive applications, designed to scale with modern infrastructure.

Open-source data science platform for enterprise teams, enabling collaboration and reproducible results.

Cloud data warehouse for building next-gen analytics experiences with sub-second performance, designed for engineers and AI agents.

An open-source AI and machine learning platform for enterprises.

Octopus Deploy provides a unified platform for continuous delivery, automating deployments, runbooks, and operations for modern applications.

Source-available, multi-threaded Redis replacement for modern cloud workloads.

Open-source business intelligence and embedded analytics platform.

Open-source backend-as-a-service platform for building scalable applications.

An open-source developer portal for building and managing software.

Agentic endpoint security for AI coding, providing visibility, governance, and real-time protection.

Open-source platform for ML experiment tracking and data versioning.

An open-source feature store for managing and serving data for AI/ML models in production.

Self-hosted AI inference platform for enterprises.

An open-source platform for building, simulating, evaluating, and optimizing reliable AI agents.

NooBaa provides an open-source, S3-compatible object storage platform for managing data across private and public clouds.

Platform for developers building stateful reactive applications on the modern cloud with object store native databases.

Low-code platform for building, iterating, and deploying AI applications, especially RAG and multi-agent systems.

Company

An independent directory for discovering DeepSeek Harness plugins.

Open-source platform for managing the ML lifecycle, from experimentation to deployment.

Open-source framework for building and documenting APIs with a focus on developer experience.

Open-source infrastructure for automating natural language workflows directly on your codebase.