aito vs skforecast-ai
aito is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑20.
aito is a plugin bundle for AI coding tools published by Aito. No marketplace we read lists it any more. skforecast-ai is an MCP server published by skforecast. Marketplaces we read that list it: 2 (Official MCP Registry, Community GitHub marketplaces). As of our marketplace pass on 2026-10-20. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.
Where each is published
| Marketplace |  skforecast-ai | |
|---|---|---|
| Community marketplace aitodotai/aito-python-tools | Removed on 2026-10-20 Version: 0.1.0 Forks (GitHub): 0 Stars (GitHub): 5 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.4.2 Downloads/month (PyPI): 0 Downloads/week (PyPI): 408 Forks (GitHub): 8 Stars (GitHub): 51 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | aitono longer listed · | skforecast-ai |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 2 |
| Stars (GitHub) (differs) | 5 | 51 |
| Forks (GitHub) (differs) | 0 | 8 |
| Last release (differs) | Not published | 2026-10-12 |
| Where it runs (differs) | On your machine (aitoai) | On your machine (skforecast-ai-mcp) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for | Not published | Not published |
| Parts of the bundle | 2 | 2 |
| Licence (differs) | MIT | Apache-2.0 |
| Repository (differs) | github.com/aitodotai/aito-python-tools | github.com/skforecast/skforecast-ai |
| Changes in the last 7 days | 2 | 2 |
| First seen (differs) | 2026-10-13 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.
What to use instead of aito
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
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Run Welt's tabular, causal and forecasting models on your data. Hosted; OAuth sign-in.
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Predictions over your own data with $p and $why, no model training; says when Aito does not fit.
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DataRobot Agent Skills - Agentic skills for DataRobot enterprise AI and ML workflows. Covers model training, deployment, predictions, feature engineering, monitoring…
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Give your AI a research team. Forecast, score, classify, or research every row of a dataset.
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Data engineering agent for ETL pipelines and analytics
What each says it does
aito
Add a predictive feature with Aito where it fits, and say so where it does not: a fit check, a schema from your table, a threshold checked on held-out rows, and the aito MCP server.
skforecast-ai
Forecast time series in CSV files: deterministic skforecast workflows and the script that ran.
How to run each
aito
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
skforecast-ai As a local MCP server: PyPI package
claude mcp add --transport stdio skforecast-ai -- uvx skforecast-ai-mcp --allow-dir "<YOUR_ALLOW_DIR>"Requires: --allow-dir
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
Neither one's marketplaces publish the settings it asks for.
What it can do: aito · What it can do: skforecast-ai · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.