Code · Vendor site 2026-10-04
AutoGluon is an open-source AutoML library from the AutoGluon team for tabular, multimodal, time-series, and related machine-learning tasks. Documentation highlights quick-start flows, state-of-the-art ensembling, and deployment guidance across Python APIs.
ML engineers and data scientists who want fast, strong baselines on tabular, text, image, and time-series problems without hand-tuning every model.
The public site is documentation and tutorials; cloud compute and hardware costs for training are outside AutoGluon itself.
AutoGluon’s documentation positions the project as fast AutoML for tabular, multimodal, and time-series workloads with tutorials, API references, and deployment notes.
What it can do
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| AutoML scope | Docs title and intro cover AutoML for text, image, time series, and tabular data. | Facts sourced | 2026-10-04 |
| Quick prototyping | Home documentation section advertises fast, accurate models in a few lines of code. | Facts sourced | 2026-10-04 |
| Version | Stable documentation is labeled AutoGluon 1.6.1 on the site. | Facts sourced | 2026-10-04 |
Understand the total cost
Free
Free
AutoGluon is open-source software documented on auto.gluon.ai with install and tutorial content at no listed subscription fee.
BrowserbaseUsage-based plans start free and scale to Developer and Startup tiers for production agent workloads.
Explore tool
Geekflare APIGeekflare provides a unified API platform for web scraping, search, screenshots, PDF capture, and related utility endpoints billed from one shared credit pool. Developers subscribe for monthly credits or buy one-time packs, with a free tier to start without a card.
Explore tool
CerebriumCerebrium is a serverless GPU platform for deploying real-time AI workloads such as voice agents, video models, and LLMs with sub-second cold starts and elastic scaling. Teams run Python apps on managed GPUs across multiple regions and pay for compute by the second rather than reserved capacity.
Explore toolThe practical questions
AutoGluon is an open-source AutoML library from the AutoGluon team for tabular, multimodal, time-series, and related machine-learning tasks. Documentation highlights quick-start flows, state-of-the-art ensembling, and deployment guidance across Python APIs.
AutoGluon is open-source software documented on auto.gluon.ai with install and tutorial content at no listed subscription fee.. This record lists ongoing free access; check the plan limits before starting.
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Documentation centers on Python APIs such as TabularPredictor and TimeSeriesPredictor for training and inference in user code.. API access and subscription access may have different terms; consult the linked sources.
The public site is documentation and tutorials; cloud compute and hardware costs for training are outside AutoGluon itself.
No retained pricing changes yet. A current price alone does not establish a historical trend.
Reviewed vendor source
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.