#1 AIFree
MLRun — alternative #1 to DataHub
Open-source AI orchestration platform for quickly building and managing continuous ML and generative AI applications across their lifecycle....
GitHub source
Recorded alternatives
Alternatives to DataHub
Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.
#2 AIFree
Willow — alternative #2 to DataHub
Open source, local, and self-hosted Amazon Echo/Google Home competitive voice assistant alternative with hardware support. Apache-2.0 licens...
GitHub source
#3 AIFree
OpenLineage — alternative #3 to DataHub
Open standard for lineage metadata collection designed to instrument jobs as they run. Defines a generic model of run, job, and dataset enti...
GitHub source
#4 AIFree
duckle — alternative #4 to DataHub
Visual-first, open-source data studio (ETL/ELT) that runs entirely on DuckDB. Drag sources, transforms and sinks onto a canvas and it compil...
GitHub source
#5 AIFree
FinGPT — alternative #5 to DataHub
Open-source financial large language models. Democratizing financial AI with data-centric training pipeline and multiple model releases for...
GitHub source
#6 AIFree
Kotaemon (Cinnamon — alternative #6 to DataHub
Open-source RAG-based tool for chatting with your documents. Hybrid RAG pipeline with full-text and vector retriever, re-ranking, and multi-...
GitHub source
#7 AIFree
NVIDIA Modulus — alternative #7 to DataHub
Open-source deep learning framework for physics-informed machine learning (Physics-ML). Build, train, and fine-tune models for AI4science an...
GitHub source
#8 AIFree
Gonka Broker — alternative #8 to DataHub
OpenAI-compatible API for open-source models served over the decentralized Gonka.ai GPU network. 1M+ free tokens monthly. Easy integration w...
Catalogue source
Questions about this page
How were these alternatives selected?
Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.
Are these alternatives ranked by payment?
No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.
Always verify current terms with DataHub directly — Oryxen records pricing classes, not live quotes.