Alternatives
Best Formula Bot Alternatives in 2026
Formula Bot is a handy AI spreadsheet assistant that generates and explains Excel and Google Sheets formulas, analyzes uploaded data in plain English, and builds quick charts and dashboards. But depending on your workflow you may want something different: a deeper AI data analyst that writes and shows its Python and R code, an AI-native spreadsheet with built-in data connectors, a collaborative notebook for teams, a SQL-first analytics platform, or an enterprise machine-learning system. The six alternatives below span that spectrum, from spreadsheet-friendly assistants to full data-science and BI platforms. Most offer free tiers or trials so you can test them on your own data before committing, and each brings a distinct strength worth weighing against Formula Bot.
Why look for Formula Bot alternatives?
- → You want deeper statistical analysis and to see the actual Python or R code behind each result, rather than just formulas.
- → You'd rather work inside a full AI-native spreadsheet with built-in data connectors than layer AI on top of Excel or Sheets.
- → You need a collaborative notebook or SQL-first platform with warehouse connections, scheduling, and shareable dashboards for a team.
- → Your work involves very large datasets or production machine-learning models that outgrow a spreadsheet's file-size and credit limits.
Julius
Chat-based AI data analyst
Rows
AI spreadsheet with data connectors
Deepnote
Collaborative data-science notebooks
Mode
SQL-first analytics and dashboards
Hex
SQL plus Python notebook teams
DataRobot
Enterprise AutoML in production
How they compare to Formula Bot
Each alternative wins on a different dimension. Skim the highlights below or click through for a full review.
Julius , 4.4/5
Best for Chat-based AI data analysis with visible code.
Julius is the closest like-for-like alternative if you want more analytical depth than Formula Bot offers. You upload a spreadsheet, CSV, or connect a database, then ask questions in plain English; Julius writes and runs the appropriate Python or R code, returns charts and written insights, and, crucially, shows you the underlying code so you can verify the methodology or learn from it. Compared with Formula Bot, which centers on generating Excel and Google Sheets formulas, Julius is built around statistical analysis and data exploration from end to end, handling regression, correlation, hypothesis testing, and larger datasets on higher tiers. It's a better fit when your real need is "understand this dataset" rather than "write me a formula," and when transparency into how a result was produced matters. Julius offers a free plan to test the interface, with paid tiers unlocking unlimited messages, bigger datasets, and database connectors. Choose Julius if you want a genuine AI data analyst rather than a spreadsheet formula helper.
Rows , 4.3/5
Best for An AI-native spreadsheet with built-in connectors.
Rows is a modern, AI-powered spreadsheet that bakes assistance directly into the grid rather than layering it on top of Excel or Google Sheets. It includes GPT-powered formulas, an AI assistant that can analyze and summarize data, and a library of built-in data connectors that pull in live data from sources like marketing platforms, CRMs, and databases without manual exports. Compared with Formula Bot, Rows is a full spreadsheet app in its own right, so it suits people who want to build and share interactive spreadsheets and lightweight dashboards in one place, with AI woven throughout. Where Formula Bot helps you write formulas for the spreadsheet you already use, Rows asks you to work inside its environment, a worthwhile trade if you value native connectors and a cleaner, more shareable interface. It has a free tier for individuals, with paid plans adding more AI usage, connectors, and collaboration. Pick Rows if you want an AI-first spreadsheet rather than an add-on assistant.
Deepnote , 4.4/5
Best for Collaborative data-science notebooks.
Deepnote is a collaborative AI data notebook built around Jupyter-compatible kernels, so teams can write Python, run SQL cells, and edit the same notebook together in real time, much like a document. It connects directly to data warehouses and databases, supports scheduled notebook runs, environment management, and version history, and includes an AI copilot that helps generate and explain code inline. Compared with Formula Bot, Deepnote is a far deeper, code-first environment aimed at analysts and data teams who have outgrown spreadsheets and need reproducible, shareable analyses they can maintain over time. It also turns notebooks into interactive apps and dashboards you can publish to non-technical stakeholders. A free tier lets individuals and small teams start without cost, with paid plans adding more compute, collaboration seats, and governance controls. If your priority is teamwork plus full notebook flexibility rather than quick spreadsheet formulas, Deepnote is the stronger long-term home for your analysis.
Mode , 4.3/5
Best for SQL-first analytics and dashboards.
Mode is a SQL-first collaborative analytics platform that pairs a powerful SQL editor with Python and R notebooks and a drag-and-drop report builder for dashboards. Analysts query the data warehouse directly, then layer notebook-based exploration on top and ship interactive reports to stakeholders, all within one tool. Compared with Formula Bot, Mode is built for established analytics teams whose workflows start in SQL and end in shared, scheduled dashboards rather than ad-hoc spreadsheet formulas. It connects to major warehouses, supports reusable datasets and definitions, and includes collaboration features so teams can build on each other's queries. Mode is especially strong when the goal is repeatable business reporting and self-serve analytics across an organization, with visualizations and parameters that let viewers explore the data themselves. It offers a free Studio tier for individuals and small teams, with paid business plans adding advanced collaboration, security, and governance. Pick Mode when SQL fluency and polished, shareable dashboards matter more than spreadsheet-level assistance.
Hex , 4.4/5
Best for SQL plus Python notebook teams.
Hex is a notebook-native analytics workspace that blends SQL, Python, and no-code cells in a single reactive environment, then lets you publish the results as polished, interactive data apps. Its Magic AI features can write queries, generate charts, and explain code from natural-language prompts, giving you AI assistance inside a more structured, warehouse-connected workflow than Formula Bot's spreadsheet add-on. Hex shines for data teams that live in SQL but still want Python flexibility, with strong connections to Snowflake, BigQuery, and other databases, plus version control, scheduling, and reusable components. Where Formula Bot is spreadsheet-first, Hex centers on a reproducible project graph and shareable apps, making it easier to hand finished analyses to business users. It supports collaboration with commenting and review, and parameterized apps that stakeholders can interact with directly. A free tier is available for individuals, with paid plans scaling collaboration, compute, and governance. Choose Hex if you want AI assistance layered on a serious, SQL-centric BI and notebook platform.
DataRobot , 4.4/5
Best for Enterprise AutoML in production.
DataRobot is an enterprise AutoML platform focused on building, deploying, and monitoring predictive and generative AI models at scale. Rather than ad-hoc spreadsheet work, it automates the machine-learning pipeline: feature engineering, model training across many algorithms, validation, and ranking, then handles deployment, monitoring, and drift detection in production through its MLOps tooling. Compared with Formula Bot, DataRobot is aimed at data scientists and enterprises that need governed, production-grade models, not formulas and quick charts. It supports both automated and code-first workflows, integrates with enterprise data sources, and emphasizes explainability, compliance, and governance, which matters for regulated industries. Teams use it to forecast demand, predict churn, detect fraud, and operationalize models that feed live business systems. DataRobot is priced for enterprise deployments rather than individual users, typically via custom plans and trials. Choose DataRobot when your real goal is deploying and maintaining reliable predictive models in production, with the scale, monitoring, and governance an enterprise requires, well beyond what a spreadsheet assistant can do.