Kronos GitHub
Kronos GitHub is the right first stop. The workspace is the faster operating path.
The public Kronos repository is where technical teams should inspect the model, examples, license, and finetuning path. This managed site exists for the next step: turning that research surface into a repeatable forecast workflow.
For users searching the repository who need a quick path from code review to an operational Kronos forecasting setup.
What to inspect on GitHub
Start with the model loading examples, predictor API, batch prediction support, finetuning scripts, and license. These tell you whether the project can fit your internal research process without rewriting your entire data pipeline.
Kronos is open source under the MIT license, so teams can evaluate the model before using a managed workflow. That transparency is a strong trust signal for technical teams.
- Check the tokenizer and model names you plan to load.
- Check context length limits before choosing a lookback window.
- Check whether your data includes required OHLC columns and stable timestamps.
- Check finetuning scripts only after a baseline forecast workflow is already clear.
When GitHub is enough
If your team only needs a notebook experiment, the repository may be enough. You can load a model, prepare a DataFrame, and inspect forecast outputs locally.
GitHub stops being enough when the decision moves from code curiosity to repeatable review: team access, plan selection, audit-friendly analytics, onboarding, and hosted payment all become part of the product experience.
How this site complements the repo
The site keeps the first step close to the actual task. It checks data readiness, produces an implementation path, and opens checkout in a popup so the original page stays available for comparison.
That flow is especially useful for users who already trust the repository but need a commercial path that does not feel like a generic SaaS landing page.
Common questions
Is this the official Kronos GitHub repository?
No. This is a managed SaaS workflow around Kronos-style financial K-line forecasting. The public repository remains the place to inspect upstream code and research materials.
Should I self-host from GitHub or use the managed workspace?
Self-host if you need full control and have ML operations capacity. Use the managed workflow when speed, onboarding, checkout, and repeatable review matter more than owning every moving part.
Can I still cite the original paper?
Yes. Research or academic usage should cite the upstream Kronos paper and repository rather than this commercial workflow.