Open-source feature store that manages the machine-learning data teams use for both model training and real-time predictions.
Best alternatives to Hopsworks in 2026
Think of Hopsworks as a combined warehouse-and-delivery-service for the data a machine learning model needs: it stores all the historical data for training in one place, and separately keeps a fast, always-ready copy for the split-second lookups a live model needs when making a real prediction — like a fraud check that has to happen before a payment finishes. Hopsworks is a unified platform combining a feature store, an "AI Lakehouse" (supporting Delta, Iceberg and Hudi table formats), and MLOps tooling — experiment tracking, model registry, and deployment pipelines — in one product. Its feature store serves online lookups at sub-millisecond latency and integrates with Ray, Spark, Flink and DuckDB for compute at scale, including GPU management for training and newer agent-deployment capabilities added in version 5.0. The core is AGPL-3.0 open source (github.com/logicalclocks/hopsworks, 1.3k stars), with a free tier limited to one project, pay-as-you-go SaaS pricing for unlimited projects, and Enterprise plans that include on-premise deployment. Customers include Zalando and Clicklease, spanning financial services, retail and government.
Quick comparison of Hopsworks alternatives
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | ML engineers | Data engineers | — | |
| 2 | Développeurs | — | |
| 3 | Teams and companies building AI coding agents or IDE integrations that need to apply code edits reliably | — | |
| 4 | Developers and organizations needing high-accuracy, deterministic structured data extraction from documents, images, audio or video | — | |
| 5 | Developers building AI agents that need to send/receive email, SMS, voice calls or iMessage | — | |
| 6 | AI development teams, enterprises and startups building agentic systems, code assistants and conversational AI | — | |
| 7 | Teams building RAG pipelines, AI research agents, lead enrichment and competitive intelligence tools | — | |
| 8 | AI/agent developers, startups and enterprises needing to safely execute AI-generated code | — | |
| 9 | AI/ML developers and enterprises (healthcare, supply chain, legal, fintech) needing browser automation for AI agents | — | |
| 10 | Teams building AI agents that take real actions against third-party SaaS APIs (GitHub, Slack, Stripe, Linear) | — | |
| 11 | AI engineering teams | Product teams with non-technical prompt editors | — | |
| 12 | AI/ML engineers | Data scientists | Platform teams | — |
- ✓ Completely free and open source, no paid tier
- ✓ Broad support: 10+ offline stores, 15+ online stores
API that instantly merges AI-generated code edits into your actual files, so coding agents can make changes without rewriting whole files.
- ✓ Purpose-built for fast, accurate code-edit application (10,500 tok/s, ~98% accuracy)
- ✓ Used in production by JetBrains, Vercel and Webflow
AI model purpose-built for tasks that need a consistent, reliable answer every time — reading documents, classifying content, transcribing speech.
- ✓ Deterministic, auditable outputs (confidence scores, bounding boxes)
- ✓ Handles text, images, audio, files and video in one API
Gives AI agents their own email address, phone number and iMessage identity, so they can send, receive and act on real-world communication.
- ✓ Bundles email, SMS, voice and iMessage into one agent-native API
- ✓ Shared context/vault persists across channels
Cloud inference platform for running and fine-tuning open-source language models fast, without owning any GPUs.
- ✓ OpenAI/Anthropic-compatible API for easy migration
- ✓ Fine-tuning bundled with inference (SFT, DPO, RL, LoRA)
Web scraping and crawling API that turns entire websites into clean, structured data ready for AI models to read.
- ✓ Purpose-built output formats (markdown, JSON schema) for AI consumption
- ✓ Open source with a large, active community
Secure, disposable cloud sandboxes that let AI agents safely execute generated code without touching real production systems.
- ✓ Very fast sandbox startup (sub-200ms) via Firecracker microVMs
- ✓ Open-source SDK with self-hosted/BYOC options for compliance
Cloud infrastructure of real, headless browsers that AI agents can control to browse, click and fill out forms like a human would.
- ✓ Real headless browser instances, not a simulation
- ✓ Handles authentication/session persistence for logged-in flows
Testing environment that gives AI agents realistic, stateful clones of GitHub, Slack, Stripe and other SaaS tools so bugs get caught before production.
- ✓ Stateful, realistic clones instead of static mocked responses
- ✓ Full traceability of API calls and state changes for debugging
Collaboration platform for AI teams to manage, test and monitor the prompts that power their LLM applications.
- ✓ Lets non-engineers safely edit and test prompts
- ✓ Eval harness catches regressions before deployment
Serverless cloud platform that runs Python code, including AI model training and inference, on GPUs with sub-second startup and pay-per-second billing.
- ✓ Sub-second cold starts even for large GPU-backed containers
- ✓ Pay-per-second, zero charge for idle compute
FAQ about Hopsworks alternatives
- What is the best alternative to Hopsworks in 2026?
- Based on our selection, Feast is the best alternative to Hopsworks in 2026. Open-source feature store that manages the machine-learning data teams use for both model training and real-time predictions.. See our full ranking above to compare all options.
- Is Hopsworks free?
- Hopsworks is a paid tool. Several alternatives in our selection offer free or freemium versions.
- How many alternatives to Hopsworks are there?
- mySelectas has listed 12 alternatives to Hopsworks in the AI & Machine Learning category. Our selection is updated regularly to include the best options available.