Notebook-first AI workflow
Use the Jupyter Agent, SQL, database connections, and Streamlit apps from a notebook workflow for analysis and automation tasks.
Mito é uma ferramenta de IA para fluxos no Jupyter Notebook, análise de dados, automação do Excel, SQL, bancos de dados e apps Streamlit.
Mito is an AI tool for Jupyter Notebook workflows focused on data analysis and Excel-style automation. The site positions it as a notebook-native assistant for tasks such as EDA, visualization, feature engineering, report automation, dashboard work, and database-backed analysis.
It is designed to run in existing notebook environments rather than as a separate add-on. Mito says it works in local Jupyter Lab, JupyterHub, and other notebook environments, and that it understands notebook file formats, cell context, and kernel state. The company also offers Mito Desktop and a Python install path for users who want a standalone or package-based setup.
Use the Jupyter Agent, SQL, database connections, and Streamlit apps from a notebook workflow for analysis and automation tasks.
Mito is built as a Jupyter extension and is described as compatible with notebook file formats, cell context, kernel state, and existing Jupyter extensions.
The site says Mito can help analysts automate Excel reports, data scientists speed up EDA, visualization, and feature engineering, and ML engineers iterate on models with AI assistance.
The downloads page offers Mito Desktop installers for macOS, Windows, and Linux, and also supports installing into an existing Python environment with pip.
The pricing page lists an Open Source plan with 150 AI completions per month and a Pro plan with unlimited AI completions and private telemetry controls.
The site says enterprises can run Mito on their own infrastructure and bring their own API keys for Azure, AWS, LiteLLM, or other LLM providers.
Convert Excel-based reporting work into Python so analysts can build, refresh, and automate reports without starting from scratch.
Run EDA, visualization, and feature-engineering tasks inside a notebook with AI assistance that understands cell context and kernel state.
Query data with SQL and database connections when analysis depends on pulling information from connected systems rather than local files.
Create dashboards or Streamlit apps as part of a notebook workflow for sharing results and turning analysis into lightweight apps.
Work in enterprise environments that need private deployment, where Mito runs on your infrastructure and can use your own LLM API keys.
Mito is built as a Jupyter extension and also offers Mito Desktop. The site says it runs in existing local Jupyter Lab, JupyterHub, and other notebook environments, and the downloads page provides desktop installers for macOS, Windows, and Linux.
The pricing page lists an Open Source plan at $0 and a Pro plan at $20 per user per month. The Open Source plan includes 150 AI completions per month, while Pro includes unlimited AI completions.
Mito says it can be used for EDA and automations, and the site highlights Excel conversion, dashboard work, internal tools, and database Q&A as example workflows.
The site states that Mito runs 100% on your infrastructure and lets enterprises bring their own API keys for Azure, AWS, LiteLLM, or other LLM providers.
The downloads page shows installers for macOS, Windows, and Linux, and also gives a pip install command for adding Mito to an existing Python environment.
Os dados de tráfego são apenas para referência.
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